(bpยฎ โ€” 01)

EUROPEAN AI VENTURE STUDIO

We engineer

We engineer

We engineer

We engineer

We engineer

We engineer

We engineer

We engineer

We engineer

We engineer

the inflection point.

the inflection point.

for scale-up teams

BreachPoint is a venture studio that builds AI-native companies. We don't fund other people's ideas and wait, we supply the thesis, the founding team, the engineering, and the distribution.

BreachPoint is a venture studio that builds AI-native companies, with engineering and distribution capacity that already exists and already works.

BreachPoint is a venture studio that builds AI-native companies โ€” with engineering and distribution capacity that already exists and already works.

  • Building over speculation

  • Capacity that already works

  • Four gates, no exceptions

  • Five verticals, one platform

  • Compliance from day one

  • Companies, not prototypes

5 verticals โ€” active portfolio | 7 full-time operators | Two operating companies

5 verticals โ€” active portfolio
7 full-time operators
Two operating companies

Scan to reach

a founding partner directly

Scan to reach

a founding partner directly

(bpยฎ โ€” 02)

HOW WE THINK ABOUT COMPANY BUILDING

A man
A man

                Most AI startups don't fail on the idea. They fail on execution and distribution, the two things a founding team is asked to build from scratch while the runway burns.

                Most AI startups don't fail on the idea. They fail on execution and distribution, the two things a founding team is asked to build from scratch while the runway burns.

                Most AI startups don't fail on the idea. They fail on execution and distribution, the two things a founding team is asked to build from scratch while the runway burns.

                Most AI startups don't fail on the idea. They fail on execution and distribution, the two things a founding team is asked to build from scratch while the runway burns.

                Most AI startups don't fail on the idea. They fail on execution and distribution, the two things a founding team is asked to build from scratch while the runway burns.

We don't start with a pitch. We start with a commercially validated problem,

a team that can ship it, and a channel that can already sell it.

We don't start with a pitch. We start with a commercially validated problem, a team that can ship it, and a channel that can already sell it.

BreachPoint

Founding Partners

THESIS โ€ข BUILD โ€ข SELL โ€ขTHESIS โ€ข BUILD โ€ข SELL โ€ข

1

2

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/4

(bpยฎ โ€” 03)

WHAT THE STUDIO PROVIDES

Studio Capabilities

Four core capabilities used to take a validated thesis to a company with a live product and paying customers.

001.

VENTURE ORIGINATION

Thesis & Validation

We test each thesis against market size, proprietary data access, and distribution before any code is written.

WHAT WE ANALYZE

001.

Core operational workflows and system handoffs

002.

Data sources, ownership, and reliability

003.

Manual decision points and exception handling

004.

Existing systems, integrations, and constraints

002.

VENTURE CONSTRUCTION

Build to Production

We assemble a founding technical team on shared infrastructure and take each venture to a product running in production.

WHAT WE ANALYZE

001.

A founding technical team from day one

002.

Reusable AI agents shared across the portfolio

003.

Architecture, data pipelines, and model infrastructure

004.

AI Act and GDPR compliance designed in, not retrofitted

003.

GO-TO-MARKET

Distribution & Demand

We position, price, and sell each venture into its market, using distribution capacity that already exists and already works.

WHAT WE ANALYZE

001.

Positioning, pricing, and category framing

002.

Demand generation and first paying customers

003.

Channel and partnership development

004.

Commercial evidence for the next gate

004.

CAPITAL & STRUCTURE

Spin-out & Seed

We spin each venture out as its own company, with the structure, cap table, and materials a seed round requires.

WHAT WE ANALYZE

001.

Legal structuring and IP assignment

002.

Cap table design and founder equity

003.

Seed materials and investor introductions

004.

Governance, reporting, and follow-on strategy

(bpยฎ โ€” 03)

WHAT THE STUDIO PROVIDES

Studio Capabilities

Four core capabilities used to take a validated thesis to a company with a live product and paying customers.

001.

VENTURE ORIGINATION

Thesis & Validation

We test each thesis against market size, proprietary data access, and distribution before any code is written.

WHAT WE ANALYZE

001.

Core operational workflows and system handoffs

002.

Data sources, ownership, and reliability

003.

Manual decision points and exception handling

004.

Existing systems and integrations

002.

VENTURE CONSTRUCTION

Build to Production

We assemble a founding technical team on shared infrastructure and take each venture to a product running in production.

WHAT WE ANALYZE

001.

A founding technical team from day one

002.

Reusable AI agents shared across the portfolio

003.

Architecture, data pipelines, and model infrastructure

004.

AI Act and GDPR compliance designed in, not retrofitted

003.

GO-TO-MARKET

Distribution & Demand

We position, price, and sell each venture into its market, using distribution capacity that already exists and already works.

WHAT WE ANALYZE

001.

Positioning, pricing, and category framing

002.

Demand generation and first paying customers

003.

Channel and partnership development

004.

Commercial evidence for the next gate

004.

CAPITAL & STRUCTURE

Spin-out & Seed

We spin each venture out as its own company, with the structure, cap table, and materials a seed round requires.

WHAT WE ANALYZE

001.

Legal structuring and IP assignment

002.

Cap table design and founder equity

003.

Seed materials and investor introductions

004.

Governance, reporting, and follow-on strategy

(bpยฎ โ€” 03)

WHAT THE STUDIO PROVIDES

Studio Capabilities

ะกore capabilities used to design, deploy, and scale AI systems.

001.

VENTURE ORIGINATION

Thesis & Validation

We test each thesis against market size, proprietary data access, and distribution before any code is written.

001.

Operational workflows and system handoffs

002.

Data sources, ownership, and reliability

003.

ะ’ecision points and exception handling

004.

Existing systems and integrations

002.

VENTURE CONSTRUCTION

Build to Production

We assemble a founding technical team on shared infrastructure and take each venture to a product running in production.

001.

A founding technical team from day one

002.

Reusable AI agents shared across the portfolio

003.

Architecture, data pipelines, and model infrastructure

004.

AI Act and GDPR compliance designed in, not retrofitted

003.

GO-TO-MARKET

Distribution & Demand

We position, price, and sell each venture into its market, using distribution capacity that already exists and already works.

001.

Positioning, pricing, and category framing

002.

Demand generation and first paying customers

003.

Channel and partnership development

004.

Commercial evidence for the next gate

004.

CAPITAL & STRUCTURE

Spin-out & Seed

We spin each venture out as its own company, with the structure, cap table, and materials a seed round requires.

001.

Legal structuring and IP assignment

002.

Cap table design and founder equity

003.

Seed materials and investor introductions

004.

Governance, reporting, and follow-on strategy

PLAN โ€ข BUILD โ€ข RUN โ€ขPLAN โ€ข BUILD โ€ข RUN โ€ข

1

2

3

4

/4

(bpยฎ โ€” 03)

WHAT THE STUDIO PROVIDES

Studio Capabilities

Four core capabilities used to take a validated thesis to a company with a live product and paying customers.

001.

VENTURE ORIGINATION

Thesis & Validation

We test each thesis against market size, proprietary data access, and distribution before any code is written.

WHAT WE ANALYZE

001.

Core operational workflows

002.

Data sources, ownership, and reliability

003.

Manual decision points

004.

Existing systems and integrations

002.

VENTURE CONSTRUCTION

Build to Production

We assemble a founding technical team on shared infrastructure and take each venture to a product running in production.

WHAT WE ANALYZE

001.

A founding technical team from day one

002.

Reusable AI agents shared across the portfolio

003.

Architecture, data pipelines, and model infrastructure

004.

AI Act and GDPR compliance designed in, not retrofitted

003.

GO-TO-MARKET

Distribution & Demand

We position, price, and sell each venture into its market, using distribution capacity that already exists and already works.

WHAT WE ANALYZE

001.

Positioning, pricing, and category framing

002.

Demand generation and first paying customers

003.

Channel and partnership development

004.

Commercial evidence for the next gate

004.

CAPITAL & STRUCTURE

Spin-out & Seed

We spin each venture out as its own company, with the structure, cap table, and materials a seed round requires.

WHAT WE ANALYZE

001.

Legal structuring and IP assignment

002.

Cap table design and founder equity

003.

Seed materials and investor introductions

004.

Governance, reporting, and follow-on strategy

PLAN โ€ข BUILD โ€ข RUN โ€ขPLAN โ€ข BUILD โ€ข RUN โ€ข

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4

/4

(bpยฎ โ€” 03)

AI system SERVICES

Our Services

Four core capabilities used to take a validated thesis to a company with a live product and paying customers.

001.

VENTURE ORIGINATION

Thesis & Validation

We test each thesis against market size, proprietary data access, and distribution before any code is written.

WHAT WE ANALYZE

001.

Core operational workflows

002.

Data sources and reliability

003.

Manual decision points

004.

Your systems and integrations

002.

VENTURE CONSTRUCTION

Build to Production

We assemble a founding technical team on shared infrastructure and take each venture to a product running in production.

WHAT WE ANALYZE

001.

AI agents for workflows

002.

Automated data processing

003.

AI-assisted task execution

004.

Existing systems Integrations

003.

GO-TO-MARKET

Distribution & Demand

We position, price, and sell each venture into its market, using distribution capacity that already exists and already works.

WHAT WE ANALYZE

001.

Positioning, pricing, and category framing

002.

Demand generation and first paying customers

003.

AI-powered knowledge

004.

Analytics platforms

004.

CAPITAL & STRUCTURE

Spin-out & Seed

We spin each venture out as its own company, with the structure, cap table, and materials a seed round requires.

WHAT WE ANALYZE

001.

System monitoring

002.

Cap table design and founder equity

003.

Operational feedback

004.

Governance, reporting, and follow-on strategy

(bpยฎ โ€” 04)

PORTFOLIO

Ventures

Ventures

Ventures

Our active portfolio spans FinTech, HealthTech, WealthTech, SportsTech, and MarTech.

Individual ventures are disclosed as they clear commercial validation.

Our active portfolio spans FinTech, HealthTech, WealthTech, SportsTech, and MarTech. Individual ventures are disclosed as they clear commercial validation.

2026

BuzzBets

We designed and deployed AI systems that read global market discourse in real time, turning unstructured social conversation into scored, auditable signals that power live products.

Industry

Fintech & Market Intelligence

SERVICE USED

AI Sentiment Engineering, Real-Time Data Architecture

Challenge

Market-moving conversation was fragmented across public venues with no consistent way to quantify it.

2026

BuzzBets

We designed and deployed AI systems that read global market discourse in real time, turning unstructured social conversation into scored, auditable signals that power live products.

Industry

Fintech & Market Intelligence

SERVICE USED

AI Sentiment Engineering, Real-Time Data Architecture

Challenge

Market-moving conversation was fragmented across public venues with no consistent way to quantify it.

2026

BuzzBets

We designed and deployed AI systems that read global market discourse in real time, turning unstructured social conversation into scored, auditable signals that power live products.

Industry

Fintech & Market Intelligence

SERVICES

AI Sentiment Engineering, Real-Time Data Architecture

Challenge

Market-moving conversation was fragmented across public venues with no consistent way to quantify it.

2026

BuzzBets

We designed and deployed AI systems that read global market discourse in real time, turning unstructured social conversation into scored, auditable signals that power live products.

Industry

Fintech & Market Intelligence

SERVICE USED

AI Sentiment Engineering, Real-Time Data Architecture

Challenge

Market-moving conversation was fragmented across public venues with no consistent way to quantify it.

2026

BuzzBets

We designed and deployed AI systems that read global market discourse in real time, turning unstructured social conversation into scored, auditable signals that power live products.

Industry

Fintech & Market Intelligence

SERVICE USED

AI Sentiment Engineering, Real-Time Data Architecture

Challenge

Market-moving conversation was fragmented across public venues with no consistent way to quantify it.

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Inside BreachPoint

VIDEO COMING SOON

ACTIVITY

Track
Record

$

0 M
0 M

+

CAPITAL RAISED

37M

2024

45M

2025

53M

2026

Benchmark

Building
Efficiency

0
0

%

PROJECT COMPLETION RATE

  • No hype. Just companies

  • Evidence beats narrative

  • Gates, not sunk costs

  • Built for regulated reality

  • Capacity that already works

VALIDATE โ€ข BUILD โ€ข SPIN OUT โ€ขVALIDATE โ€ข BUILD โ€ข SPIN OUT โ€ข

1

2

3

4

/4

(bpยฎ โ€” 06)

Process

Four Gates

A structured process used to take a venture from thesis to spin-out, with explicit criteria to continue, and explicit criteria to stop.

001.

THESIS

Thesis & Market Evidence

We test whether the problem is real, whether buyers will pay for it, and whether the venture can hold a defensible position. Nothing gets built until this gate clears.

WHAT WE ASSESS

001.

Buyer interviews and documented willingness to pay

002.

Market size, timing, and competitive density

003.

Access to proprietary data or distribution

004.

Regulatory classification and cost of compliance

Studio Resources

Research

Market

Legal

Design

002.

BUILD

Product in Production

We build a working product, not a demo. This gate clears when the system runs in production, with real users and real data, under real operating conditions.

WHAT WE ASSESS

001.

Core product live in a production environment

002.

Reused agents and shared infrastructure in place

003.

Data pipelines, security, and access control

004.

AI Act risk classification and GDPR posture

Studio Resources

Engineering

Product

Data

Security

003.

TRACTION

Commercial Validation

The studio sells the product through its own distribution capability. This gate clears on paying customers and a repeatable acquisition channel, never on expressions of interest.

WHAT WE ASSESS

001.

Paying customers and signed contracts

002.

Repeatable acquisition channel and unit economics

003.

Retention, usage, and expansion evidence

004.

Founding team completeness and ownership

Studio Resources

Go-to-market

Sales

Pricing

Analytics

004.

SPIN-OUT

Spin-out & Seed

The venture becomes a company: its own legal entity, its own cap table, its own board, and its own seed round. The studio stays on as a shareholder and operating partner.

WHAT WE ASSESS

001.

Legal entity, IP transfer, and cap table

002.

Governance, board, and reporting structure

003.

Seed round materials and investor process

004.

Follow-on plan and studio support model

Studio Resources

Legal

Capital

Governance

Board

(bpยฎ โ€” 06)

Process

Four Gates

A structured process used to take a venture from thesis to spin-out, with explicit criteria to continue, and explicit criteria to stop.

001.

THESIS

Thesis & Market Evidence

We test whether the problem is real, whether buyers will pay for it, and whether the venture can hold a defensible position. Nothing gets built until this gate clears.

WHAT WE ASSESS

001.

Buyer interviews and documented willingness to pay

002.

Market size, timing, and competitive density

003.

Access to proprietary data or distribution

004.

Regulatory classification and cost of compliance

Studio Resources

Research

Market

Legal

Design

VALIDATE โ€ข BUILD โ€ข SPIN OUT โ€ขVALIDATE โ€ข BUILD โ€ข SPIN OUT โ€ข

1

2

3

4

/4

002.

BUILD

Product in Production

We build a working product, not a demo. This gate clears when the system runs in production, with real users and real data, under real operating conditions.

WHAT WE ASSESS

001.

Core product live in a production environment

002.

Reused agents and shared infrastructure in place

003.

Data pipelines, security, and access control

004.

AI Act risk classification and GDPR posture

Studio Resources

Engineering

Product

Data

Security

VALIDATE โ€ข BUILD โ€ข SPIN OUT โ€ขVALIDATE โ€ข BUILD โ€ข SPIN OUT โ€ข

1

2

3

4

/4

003.

TRACTION

Commercial Validation

The studio sells the product through its own distribution capability. This gate clears on paying customers and a repeatable acquisition channel, never on expressions of interest.

WHAT WE ASSESS

001.

Paying customers and signed contracts

002.

Repeatable acquisition channel and unit economics

003.

Retention, usage, and expansion evidence

004.

Founding team completeness and ownership

Studio Resources

Go-to-market

Sales

Pricing

Analytics

VALIDATE โ€ข BUILD โ€ข SPIN OUT โ€ขVALIDATE โ€ข BUILD โ€ข SPIN OUT โ€ข

1

2

3

4

/4

004.

SPIN-OUT

Spin-out & Seed

The venture becomes a company: its own legal entity, its own cap table, its own board, and its own seed round. The studio stays on as a shareholder and operating partner.

WHAT WE ASSESS

001.

Legal entity, IP transfer, and cap table

002.

Governance, board, and reporting structure

003.

Seed round materials and investor process

004.

Follow-on plan and studio support model

Studio Resources

Legal

Capital

Governance

Board

VALIDATE โ€ข BUILD โ€ข SPIN OUT โ€ขVALIDATE โ€ข BUILD โ€ข SPIN OUT โ€ข

1

2

3

4

/4

(bpยฎ โ€” 06)

Process

Four Gates

A structured process used to take a venture from thesis to spin-out, with explicit criteria to continue, and explicit criteria to stop.

001.

THESIS

Thesis & Market Evidence

We test whether the problem is real and whether buyers will pay, before anything is built.

001.

Buyer interviews and documented willingness to pay

002.

Market size, timing, and competitive density

003.

Access to proprietary data or distribution

004.

Regulatory classification and cost of compliance

Studio Resources

ANALYZE โ€ข BUILD โ€ข OPERATE โ€ขANALYZE โ€ข BUILD โ€ข OPERATE โ€ข

1

2

3

4

/4

002.

BUILD

Product in Production

We build a working product. This gate clears when it runs in production with real users.

001.

Core product live in a production environment

002.

Reused agents and shared infrastructure in place

003.

Data pipelines, security, and access control

004.

AI Act risk classification and GDPR posture

Studio Resources

ANALYZE โ€ข BUILD โ€ข OPERATE โ€ขANALYZE โ€ข BUILD โ€ข OPERATE โ€ข

1

2

3

4

/4

003.

TRACTION

Commercial Validation

This gate clears on paying customers and a repeatable channel โ€” never on stated interest.

001.

Paying customers and signed contracts

002.

Repeatable acquisition channel and unit economics

003.

Retention, usage, and expansion evidence

004.

Founding team completeness and ownership

Studio Resources

ANALYZE โ€ข BUILD โ€ข OPERATE โ€ขANALYZE โ€ข BUILD โ€ข OPERATE โ€ข

1

2

3

4

/4

004.

SPIN-OUT

Spin-out & Seed

The venture becomes a company with its own entity, cap table, board, and seed round.

001.

Legal entity, IP transfer, and cap table

002.

Governance, board, and reporting structure

003.

Seed round materials and investor process

004.

Follow-on plan and studio support model

Studio Resources

ANALYZE โ€ข BUILD โ€ข OPERATE โ€ขANALYZE โ€ข BUILD โ€ข OPERATE โ€ข

1

2

3

4

/4

GATE โ€ข BUILD โ€ข RELEASE โ€ขGATE โ€ข BUILD โ€ข RELEASE โ€ข

1

2

3

4

/4

(bpยฎ โ€” 06)

Process

Four Gates

A structured process used to take a venture from thesis to spin-out, with explicit criteria to continue, and explicit criteria to stop.

001.

THESIS

Thesis & Market Evidence

We test whether the problem is real, whether buyers will pay for it, and whether the venture can hold a defensible position. Nothing gets built until this gate clears.

WHAT WE ASSESS

001.

Buyer interviews and documented willingness to pay

002.

Market size, timing, and competitive density

003.

Access to proprietary data or distribution

004.

Regulatory classification and cost of compliance

Studio Resources

Research

Market

Legal

Design

002.

BUILD

Product in Production

We build a working product, not a demo. This gate clears when the system runs in production, with real users and real data, under real operating conditions.

WHAT WE ASSESS

001.

Core product live in a production environment

002.

Reused agents and shared infrastructure in place

003.

Data pipelines, security, and access control

004.

AI Act risk classification and GDPR posture

Studio Resources

Engineering

Product

Data

Security

003.

TRACTION

Commercial Validation

The studio sells the product through its own distribution capability. This gate clears on paying customers and a repeatable acquisition channel, never on expressions of interest.

WHAT WE ASSESS

001.

Paying customers and signed contracts

002.

Repeatable acquisition channel and unit economics

003.

Retention, usage, and expansion evidence

004.

Founding team completeness and ownership

Studio Resources

Go-to-market

Sales

Pricing

Analytics

004.

SPIN-OUT

Spin-out & Seed

The venture becomes a company: its own legal entity, its own cap table, its own board, and its own seed round. The studio stays on as a shareholder and operating partner.

WHAT WE ASSESS

001.

Legal entity, IP transfer, and cap table

002.

Governance, board, and reporting structure

003.

Seed round materials and investor process

004.

Follow-on plan and studio support model

Studio Resources

Legal

Capital

Governance

Board

GATE โ€ข BUILD โ€ข RELEASE โ€ขGATE โ€ข BUILD โ€ข RELEASE โ€ข

1

2

3

4

/4

(bpยฎ โ€” 06)

Process

Four Gates

A structured process used to take a venture from thesis to spin-out, with explicit criteria to continue, and explicit criteria to stop.

001.

THESIS

Thesis & Market Evidence

We test whether the problem is real and whether buyers will pay, before anything is built.

WHAT WE ASSESS

001.

Buyer interviews and documented willingness to pay

002.

Market size, timing, and competitive density

003.

Access to proprietary data or distribution

004.

Regulatory classification and cost of compliance

Studio Resources

Research

Market

Legal

Design

002.

BUILD

Product in Production

We build a working product. This gate clears when it runs in production with real users.

WHAT WE ASSESS

001.

Core product live in a production environment

002.

Reused agents and shared infrastructure in place

003.

Data pipelines, security, and access control

004.

AI Act risk classification and GDPR posture

Studio Resources

Engineering

Product

Data

Security

003.

TRACTION

Commercial Validation

This gate clears on paying customers and a repeatable channel, never on stated interest.

WHAT WE ASSESS

001.

Paying customers and signed contracts

002.

Repeatable acquisition channel and unit economics

003.

Retention, usage, and expansion evidence

004.

Founding team completeness and ownership

Studio Resources

Go-to-market

Sales

Pricing

Analytics

004.

SPIN-OUT

Spin-out & Seed

The venture becomes a company with its own entity, cap table, board, and seed round.

WHAT WE ASSESS

001.

Legal entity, IP transfer, and cap table

002.

Governance, board, and reporting structure

003.

Seed round materials and investor process

004.

Follow-on plan and studio support model

Studio Resources

Legal

Capital

Governance

Board

(bpยฎ โ€” 06b)

MARKET CONTEXT

Where the gap is

Europe has depth of talent and a shortage of structures to turn it into companies. European AI startups raised a fraction of what their US counterparts did over the same period, while the venture studio model roughly doubled worldwide between 2020 and 2024, with Europe as its second-largest concentration.

  • Why BreachPoint

  • (ยฎ)

(bpยฎ โ€” 07)

WHY BREACHPOINT

We build AI-native companies inside real markets, from thesis to production, paying customers, and a company of their own.

ยฉ โ€’ 001.

Capacity That Already Exists

Two established operating companies (one in technology development, one in digital marketing) supply engineering and distribution from day one.

ยฉ โ€’ 001.

Capacity That Already Exists

Two established operating companies (one in technology development, one in digital marketing) supply engineering and distribution from day one.

ยฉ โ€’ 001.

Capacity That Already Exists

Engineering and distribution that already work.

BreachPoint

ยฉ โ€’ 002.

Lower Cost Per Company

Building on a shared platform makes each company materially cheaper to produce than a standalone startup assembling both functions from scratch.

ยฉ โ€’ 002.

Lower Cost Per Company

Building on a shared platform makes each company materially cheaper to produce than a standalone startup assembling both functions from scratch.

ยฉ โ€’ 002.

Lower Cost Per Company

Each company costs materially less to build.

ยฉ โ€’ 003.

Discipline of Closure

Ventures that fail a gate are shut down and their budget is reallocated. The criteria are written before the work starts, so we donโ€™t carry projects forward on sunk cost.

ยฉ โ€’ 003.

Discipline of Closure

Ventures that fail a gate are shut down and their budget is reallocated. The criteria are written before the work starts, so we donโ€™t carry projects forward on sunk cost.

ยฉ โ€’ 004.

Built for European Regulation

We treat the EU framework as a barrier to entry we build behind, not as friction to route around. That opens institutional buyers in regulated sectors.

ยฉ โ€’ 005.

Honest Reporting

We separate verified data, our own estimates, and third-party projections. We always say which is which, including when it doesn't flatter us.

ยฉ โ€’ 005.

Honest Reporting

We separate verified data, our own estimates, and third-party projections โ€” and we always say which is which, including when it doesn't flatter us.

ยฉ โ€’ 004.

Built for European Regulation

We treat the EU framework as a barrier to entry we build behind, not as friction to route around. That opens institutional buyers in regulated sectors.

ยฉ โ€’ 005.

Honest Reporting

We separate verified data, our own estimates, and third-party projections. We always say which is which, including when it doesn't flatter us.

ยฉ โ€’ 004.

Built for European Regulation

We treat the EU framework as a barrier to entry we build behind, not as friction to route around. That opens institutional buyers in regulated sectors.

ยฉ โ€’ 005.

Honest Reporting

We separate verified data, our own estimates, and third-party projections. We always say which is which, including when it doesn't flatter us.

ยฉ โ€’ 005.

Honest Reporting

Verified data, own estimates, third-party projections. Always labeled.

(bpยฎ โ€” 08)

HOW A VENTURE MOVES

Turning validated theses into
companies that stand on their own

Turning validated theses into companies that stand on their own

From a commercially validated thesis to a spun-out company

with its own customers, cap table, and seed round.

From a commercially validated thesis to a spun-out company with its own customers, cap table, and seed round.

Month 0 โ€” 3

Thesis & Evidence

The problem is tested with real buyers before anything is built.

Month 3 โ€” 9

Build to Production

A founding team ships a working product into a live environment.

Month 9 โ€” 18

Commercial Validation

The studio sells it, and the venture earns its first paying customers.

Month 18 +

Spin-out & Seed

The venture becomes a company and raises its own round.

Month 0 โ€” 3

Thesis & Evidence

The problem is tested with real buyers before anything is built.

Month 3 โ€” 9

Build to Production

A founding team ships a working product into a live environment.

Month 9 โ€” 18

Commercial Validation

The studio sells it, and the venture earns its first paying customers.

Month 18 +

Spin-out & Seed

The venture becomes a company and raises its own round.

Month 0 โ€” 3

Thesis & Evidence

The problem is tested with real buyers before anything is built.

Month 3 โ€” 9

Build to Production

A founding team ships a working product into a live environment.

Month 9 โ€” 18

Commercial Validation

The studio sells it, and the venture earns its first paying customers.

Month 18 +

Spin-out & Seed

The venture becomes a company and raises its own round.

Month 0 โ€” 3

Thesis & Evidence

The problem is tested with real buyers before anything is built.

Month 3 โ€” 9

Build to Production

A founding team ships a working product into a live environment.

Month 9 โ€” 18

Commercial Validation

The studio sells it, and the venture earns its first paying customers.

Month 18 +

Spin-out & Seed

The venture becomes a company and raises its own round.

Indicative timeline. Each venture advances only when its gate criteria are met.

Indicative timeline. Each venture advances only when its gate criteria are met.

Person
Person
Person
Person
Person
Person
Person
Person
Person
Person
Person
Person
Person

Building the companies

a market is already asking for

From first commercial evidence to a spun-out company with customers and capital.

Person
Person
Person
Person
Person
Person
Person
Person
Person

Building the companies

a market is already asking for

From first commercial evidence to a spun-out company with customers and capital.

Person
Person
Person
Person
Person

Building the companies

a market is already asking for

From first commercial evidence to a spun-out company with customers and capital.

Person
Person
Person
Person
Person
Person
Person
Person
Person
Person
Person
Person
Person

Building the companies

a market is already asking for

From first commercial evidence to a spun-out company with customers and capital.

Person
Person
Person
Person
Person
Person
Person
Person
Person
Person
Person
Person
Person

Building the companies

a market is already asking for

From first commercial evidence to a spun-out company with customers and capital.

  • No hype. Just companies

  • Evidence beats narrative

  • Gates, not sunk costs

  • Built for regulated reality

  • Capacity that already works

(bpยฎ โ€” 09)

Our team

The Founders

Two founders plus seven full-time operators building companies across five verticals on one shared platform.

COMPANY BUILDERS โ€ขCOMPANY BUILDERS โ€ข

1

2

3

4

5

/2

Team member

Eze Rodrรญguez Amato

Co-founder and CEO

Ezequiel has spent three decades where technology, marketing and capital meet, and most of that time helping companies get funded. For more than 16 years he has worked in investor awareness across the US and Canadian capital markets, first at Bridge Capitals and then as an independent consultant. He has supported companies in mining, healthcare, fintech, mobility and medical cannabis through IPO processes and financing rounds that together raised more than $500 million. His foundation is marketing, telecom and the early internet. He worked in new business at Movicom-BellSouth in Argentina, served as Director of New Business at CollectiveMind in Miami during the 2000 dot-com era, and later led communications at DEC-BBDO in Barcelona. Over more than 30 years he has designed strategies and led communication and design teams in three countries and at more than ten companies and agencies, generating over โ‚ฌ100 million in revenue for clients and employers. Today his work centers on three things: โ†’ BreachPoint, the European AI venture studio he co-founded and leads as CEO. He leads strategy, origination and investor relations, and decides which business ideas deserve to be built. โ†’ Brainflow Digital, where he helps technology startups raise capital through investor branding, fundraising materials and investor awareness. He has supported more than 20 startups over the last six years. โ†’ LoneWolf Investments, his angel investment vehicle, active in technology startups and real estate for nearly a decade. He has also been on the founder side of an exit: he co-founded Falken Biosafety, which was acquired by Micronics in 2022.

Social accounts โ€”

(bpยฎ โ€” 09)

Our team

The Founders

Two founders plus seven full-time operators building companies across five verticals on one shared platform.

Team member

Eze Rodrรญguez Amato

Co-founder and CEO

Ezequiel has spent three decades where technology, marketing and capital meet, and most of that time helping companies get funded. For more than 16 years he has worked in investor awareness across the US and Canadian capital markets, first at Bridge Capitals and then as an independent consultant. He has supported companies in mining, healthcare, fintech, mobility and medical cannabis through IPO processes and financing rounds that together raised more than $500 million. His foundation is marketing, telecom and the early internet. He worked in new business at Movicom-BellSouth in Argentina, served as Director of New Business at CollectiveMind in Miami during the 2000 dot-com era, and later led communications at DEC-BBDO in Barcelona. Over more than 30 years he has designed strategies and led communication and design teams in three countries and at more than ten companies and agencies, generating over โ‚ฌ100 million in revenue for clients and employers. Today his work centers on three things: โ†’ BreachPoint, the European AI venture studio he co-founded and leads as CEO. He leads strategy, origination and investor relations, and decides which business ideas deserve to be built. โ†’ Brainflow Digital, where he helps technology startups raise capital through investor branding, fundraising materials and investor awareness. He has supported more than 20 startups over the last six years. โ†’ LoneWolf Investments, his angel investment vehicle, active in technology startups and real estate for nearly a decade. He has also been on the founder side of an exit: he co-founded Falken Biosafety, which was acquired by Micronics in 2022.

Social accounts โ€”

(bpยฎ โ€” 09)

Our team

The Founders

Two founders plus seven full-time operators building companies across five verticals on one shared platform.

Team member

Product & Design Lead

Turns validated theses into products people actually use.

001.

TRANSLATES MARKET EVIDENCE INTO PRODUCT SCOPE

002.

LEADS PRODUCT AND INTERFACE DESIGN ACROSS VENTURES

003.

RUNS DISCOVERY WITH EARLY CUSTOMERS

Social accounts โ€”

(bpยฎ โ€” 09)

Our team

The Founders

Two founders plus seven full-time operators building companies across five verticals on one shared platform.

COMPANY BUILDERS โ€ขCOMPANY BUILDERS โ€ข

1

2

3

4

5

/2

Team member

Eze Rodrรญguez Amato

Co-founder and CEO

Ezequiel has spent three decades where technology, marketing and capital meet, and most of that time helping companies get funded. For more than 16 years he has worked in investor awareness across the US and Canadian capital markets, first at Bridge Capitals and then as an independent consultant. He has supported companies in mining, healthcare, fintech, mobility and medical cannabis through IPO processes and financing rounds that together raised more than $500 million. His foundation is marketing, telecom and the early internet. He worked in new business at Movicom-BellSouth in Argentina, served as Director of New Business at CollectiveMind in Miami during the 2000 dot-com era, and later led communications at DEC-BBDO in Barcelona. Over more than 30 years he has designed strategies and led communication and design teams in three countries and at more than ten companies and agencies, generating over โ‚ฌ100 million in revenue for clients and employers. Today his work centers on three things: โ†’ BreachPoint, the European AI venture studio he co-founded and leads as CEO. He leads strategy, origination and investor relations, and decides which business ideas deserve to be built. โ†’ Brainflow Digital, where he helps technology startups raise capital through investor branding, fundraising materials and investor awareness. He has supported more than 20 startups over the last six years. โ†’ LoneWolf Investments, his angel investment vehicle, active in technology startups and real estate for nearly a decade. He has also been on the founder side of an exit: he co-founded Falken Biosafety, which was acquired by Micronics in 2022.

Social accounts โ€”

(bpยฎ โ€” 09)

Our team

The Studio

Two founders plus seven full-time operators building companies across five verticals on one shared platform.

COMPANY BUILDERS โ€ขCOMPANY BUILDERS โ€ข

1

2

3

4

5

/2

Team member

Eze Rodrรญguez Amato

Co-founder and CEO

Ezequiel has spent three decades where technology, marketing and capital meet, and most of that time helping companies get funded. For more than 16 years he has worked in investor awareness across the US and Canadian capital markets, first at Bridge Capitals and then as an independent consultant. He has supported companies in mining, healthcare, fintech, mobility and medical cannabis through IPO processes and financing rounds that together raised more than $500 million. His foundation is marketing, telecom and the early internet. He worked in new business at Movicom-BellSouth in Argentina, served as Director of New Business at CollectiveMind in Miami during the 2000 dot-com era, and later led communications at DEC-BBDO in Barcelona. Over more than 30 years he has designed strategies and led communication and design teams in three countries and at more than ten companies and agencies, generating over โ‚ฌ100 million in revenue for clients and employers. Today his work centers on three things: โ†’ BreachPoint, the European AI venture studio he co-founded and leads as CEO. He leads strategy, origination and investor relations, and decides which business ideas deserve to be built. โ†’ Brainflow Digital, where he helps technology startups raise capital through investor branding, fundraising materials and investor awareness. He has supported more than 20 startups over the last six years. โ†’ LoneWolf Investments, his angel investment vehicle, active in technology startups and real estate for nearly a decade. He has also been on the founder side of an exit: he co-founded Falken Biosafety, which was acquired by Micronics in 2022.

Social accounts โ€”

(bpยฎ โ€” 10)

ENGAGEMENT MODELS

Ways to work with us

Ways to work with us

Three ways into the studio: as a founder, as an operating partner, or as an investor.

Ways to work with us

Three ways into the studio: as a founder, as an operating partner, or as an investor.

We tell investors what we can prove and what we canโ€™t. What holds it together is a method, an active portfolio, and a rule for shutting things down.

A man looks left

BreachPoint

Founding Partners

We tell investors what we can prove and what we canโ€™t. What holds it together is a method, an active portfolio, and a rule for shutting things down.

A man looks left

BreachPoint

Founding Partners

ยฉ โ€’ 001.

Founder Track

You bring a venture with early commercial evidence. We supply engineering, distribution, and starting capital in exchange for a minority stake.

from

By application

$

By application

/project

Timeframe:

Evaluation typically completed in 4โ€“6 weeks

Whatโ€™s included:

Founding product and engineering capacity from day one

Go-to-market and first-customer acquisition run by the studio

Access to the shared layer of reusable AI agents across the portfolio

Starting capital without raising a prior round

Legal, finance, and EU compliance support

A gate process with explicit, written continuation criteria

ยฉ โ€’ 001.

Founder Track

You bring a venture with early commercial evidence. We supply engineering, distribution, and starting capital in exchange for a minority stake.

from

By application

$

By application

/project

Timeframe:

Evaluation typically completed in 4โ€“6 weeks

Whatโ€™s included:

Founding product and engineering capacity from day one

Go-to-market and first-customer acquisition run by the studio

Access to the shared layer of reusable AI agents across the portfolio

Starting capital without raising a prior round

Legal, finance, and EU compliance support

A gate process with explicit, written continuation criteria

ยฉ โ€’ 001.

Founder Track

You bring early commercial evidence. We supply engineering, distribution, and capital.

from

By application

$

By application

/project

Timeframe:

Evaluation typically completed in 4โ€“6 weeks

Whatโ€™s included:

Founding product and engineering capacity from day one

Go-to-market and first-customer acquisition run by the studio

Access to the shared layer of reusable AI agents across the portfolio

Starting capital without raising a prior round

Legal, finance, and EU compliance support

A gate process with explicit, written continuation criteria

ยฉ โ€’ 001.

Founder Track

You bring early commercial evidence. We supply engineering, distribution, and capital.

from

By application

$

By application

/project

Timeframe:

Evaluation typically completed in 4โ€“6 weeks

Whatโ€™s included:

Founding product and engineering capacity from day one

Go-to-market and first-customer acquisition run by the studio

Access to the shared layer of reusable AI agents across the portfolio

Starting capital without raising a prior round

Legal, finance, and EU compliance support

A gate process with explicit, written continuation criteria

ยฉ โ€’ 002.

Operating Partner Track

You bring domain depth, a channel, or a customer base in one of our five verticals. We build the company around it and staff it from the studio platform.

from

By application

$

By application

/project

Timeframe:

Scoped case by case

Whatโ€™s included:

Joint thesis definition and market validation

A founding technical team drawn from the studio

Product, design, and data infrastructure

Distribution built alongside your existing channel

Company structuring, governance, and cap table design

ยฉ โ€’ 002.

Operating Partner Track

You bring domain depth, a channel, or a customer base in one of our five verticals. We build the company around it and staff it from the studio platform.

from

By application

$

By application

/project

Timeframe:

Scoped case by case

Whatโ€™s included:

Joint thesis definition and market validation

A founding technical team drawn from the studio

Product, design, and data infrastructure

Distribution built alongside your existing channel

Company structuring, governance, and cap table design

ยฉ โ€’ 002.

Operating Partner Track

You bring domain depth or a channel. We build the company around it.

from

By application

$

By application

/project

Timeframe:

Scoped case by case

Whatโ€™s included:

Joint thesis definition and market validation

A founding technical team drawn from the studio

Product, design, and data infrastructure

Distribution built alongside your existing channel

Company structuring, governance, and cap table design

ยฉ โ€’ 002.

Operating Partner Track

You bring domain depth or a channel. We build the company around it.

from

By application

$

By application

/project

Timeframe:

Scoped case by case

Whatโ€™s included:

Joint thesis definition and market validation

A founding technical team drawn from the studio

Product, design, and data infrastructure

Distribution built alongside your existing channel

Company structuring, governance, and cap table design

ยฉ โ€’ 003.

Investor Track

Professional and institutional investors can request access to the studio's model, portfolio composition, and investment materials.

from

Under NDA

$

Under NDA

/project

Timeframe:

Access reviewed on request

Whatโ€™s included:

Overview of the studio model and platform economics

Portfolio composition across five verticals

The validation gate framework and the closure policy

Sourcing, structuring, and spin-out methodology

Full investment memorandum, available under NDA

Investment materials are made available to professional investors only. Nothing on this page constitutes an offer to sell or a solicitation to buy any security or interest in any fund.

ยฉ โ€’ 003.

Investor Track

Professional and institutional investors can request access to the studio's model, portfolio composition, and investment materials.

from

Under NDA

$

Under NDA

/project

Timeframe:

Access reviewed on request

Whatโ€™s included:

Overview of the studio model and platform economics

Portfolio composition across five verticals

The validation gate framework and the closure policy

Sourcing, structuring, and spin-out methodology

Full investment memorandum, available under NDA

Investment materials are made available to professional investors only. Nothing on this page constitutes an offer to sell or a solicitation to buy any security or interest in any fund.

ยฉ โ€’ 003.

Investor Track

Professional investors can request access to the studio's investment materials.

from

Under NDA

$

Under NDA

/project

Timeframe:

Access reviewed on request

Whatโ€™s included:

Overview of the studio model and platform economics

Portfolio composition across five verticals

The validation gate framework and the closure policy

Sourcing, structuring, and spin-out methodology

Full investment memorandum, available under NDA

Investment materials are made available to professional investors only. Nothing on this page constitutes an offer to sell or a solicitation to buy any security or interest in any fund.

ยฉ โ€’ 003.

Investor Track

Professional investors can request access to the studio's investment materials.

from

Under NDA

$

Under NDA

/project

Timeframe:

Access reviewed on request

Whatโ€™s included:

Overview of the studio model and platform economics

Portfolio composition across five verticals

The validation gate framework and the closure policy

Sourcing, structuring, and spin-out methodology

Full investment memorandum, available under NDA

Investment materials are made available to professional investors only. Nothing on this page constitutes an offer to sell or a solicitation to buy any security or interest in any fund.

Controlled Architecture

Controlled Architecture

Orchestrated

Controlled Architecture

(bpยฎ โ€” 11)

Insights & Research

Recent articles

Recent articles

Recent articles

Notes on venture building, applied AI, and the European funding gap.

(bpยฎ โ€” 12)

Our newsletters

Stay in the loop

  • No hype. Just companies

  • Evidence beats narrative

  • Gates, not sunk costs

  • Built for regulated reality

  • Capacity that already works

ACCESS โ€ข INFORMATION โ€ขACCESS โ€ข INFORMATION โ€ข
ACCESS โ€ข INFORMATION โ€ขACCESS โ€ข INFORMATION โ€ข

(bpยฎ โ€” 13)

frequently asked questions

Questions
that matters

Core Questions

A clear set of answers about how we originate, build,

and release companies in real markets.

A clear set of answers about how we design, build, and deploy AI systems.

001.

Are these just thin applications built on top of GPT or Claude?

No. We use frontier models where theyโ€™re the right tool, but the value sits in what surrounds them: a shared layer of AI agents, retrieval systems wired into proprietary data, and evaluation infrastructure reused across every venture. A venture that can be rebuilt in a weekend on a public API does not clear our first gate.

001.

Are these just thin applications built on top of GPT or Claude?

No. We use frontier models where theyโ€™re the right tool, but the value sits in what surrounds them: a shared layer of AI agents, retrieval systems wired into proprietary data, and evaluation infrastructure reused across every venture. A venture that can be rebuilt in a weekend on a public API does not clear our first gate.

002.

How long does it take to go from thesis to a product in production?

Typically three to nine months, depending on regulatory exposure and data access. Because the founding technical team, the data infrastructure, and the agent layer already exist inside the studio, a venture doesn't spend its first two quarters hiring and assembling a stack.

002.

How long does it take to go from thesis to a product in production?

Typically three to nine months, depending on regulatory exposure and data access. Because the founding technical team, the data infrastructure, and the agent layer already exist inside the studio, a venture doesn't spend its first two quarters hiring and assembling a stack.

002.

How long does it take to see ROI?

Typically three to nine months, depending on regulatory exposure and data access. Because the founding technical team, the data infrastructure, and the agent layer already exist inside the studio, a venture doesn't spend its first two quarters hiring and assembling a stack.

003.

What does an external founder keep, and what do they give up?

Founders keep operational control of their company and a majority position. The studio takes a minority stake in exchange for engineering, distribution, starting capital, and the platform. The company is spun out as its own legal entity with its own cap table and board.

003.

What does an external founder keep, and what do they give up?

Founders keep operational control of their company and a majority position. The studio takes a minority stake in exchange for engineering, distribution, starting capital, and the platform. The company is spun out as its own legal entity with its own cap table and board.

003.

Can we integrate AI agents with our existing software stack?

Founders keep operational control of their company and a majority position. The studio takes a minority stake in exchange for engineering, distribution, starting capital, and the platform. The company is spun out as its own legal entity with its own cap table and board.

003.

Can we integrate AI agents with our existing stack?

Founders keep operational control of their company and a majority position. The studio takes a minority stake in exchange for engineering, distribution, starting capital, and the platform. The company is spun out as its own legal entity with its own cap table and board.

004.

How do you handle data protection and the EU AI Act across five verticals?

Compliance is designed into the architecture, not retrofitted before a funding round. Every venture is risk-classified under the AI Act at the first gate, with data minimization, access control, and audit trails specified before the product is built. In HealthTech and FinTech that work is what makes institutional buyers reachable at all.

004.

How do you handle data protection and the EU AI Act across five verticals?

Compliance is designed into the architecture, not retrofitted before a funding round. Every venture is risk-classified under the AI Act at the first gate, with data minimization, access control, and audit trails specified before the product is built. In HealthTech and FinTech that work is what makes institutional buyers reachable at all.

005.

What happens to a venture that fails a gate?

It is shut down and its budget is reallocated. Gate criteria are written before the work starts, so the decision is a comparison against a standard rather than a judgment call. Closing early is what lets a compact team run several ventures at once without carrying dead weight.

005.

What happens to a venture that fails a gate?

It is shut down and its budget is reallocated. Gate criteria are written before the work starts, so the decision is a comparison against a standard rather than a judgment call. Closing early is what lets a compact team run several ventures at once without carrying dead weight.

(bpยฎ โ€” 14)

OUR CONTACT

Let's talk

Let's talk

Let's talk

Bring a venture, a channel, or a question about the model.

Tell us who you are and we'll route it to the right partner.

Bring your system, your workflow, or your idea.

Weโ€™ll help you understand what it takes to build.

Social accounts โ€”

Send message

Book a Call

Get a job

Who are you reaching out as?

Founder with a venture

Investor

Operating partner

Media & ecosystem

Which vertical is closest to you?

FinTech

HealthTech

WealthTech

SportsTech

MarTech

Other / cross-vertical

Send message

Book a Call

Get a job

Who are you reaching out as?

Founder with a venture

Investor

Operating partner

Media & ecosystem

Which vertical is closest to you?

FinTech

HealthTech

WealthTech

SportsTech

MarTech

Other / cross-vertical

  • No hype. Just companies

    No hype. Just companies

    No hype. Just companies

  • Evidence beats narrative

    Evidence beats narrative

    Evidence beats narrative

  • Gates, not sunk costs

    Gates, not sunk costs

    Gates, not sunk costs

  • Built for regulated reality

    Built for regulated reality

    Built for regulated reality

  • Capacity that already works

    Capacity that already works

    Capacity that already works

PRINCIPLES โ€ข VALUES โ€ขPRINCIPLES โ€ข VALUES โ€ข
PRINCIPLES โ€ข VALUES โ€ขPRINCIPLES โ€ข VALUES โ€ข
PRINCIPLES โ€ข VALUES โ€ขPRINCIPLES โ€ข VALUES โ€ข

(bpยฎ โ€” 15)

OUR PRINCIPLES

What
We Believe

Core Beliefs

We build companies that survive contact with

a real market, not portfolios that survive a deck.

We design AI systems that improve real work โ€” not just demonstrate technology.

We believe value is created by building, not by selecting. Capital chooses among the companies that already exist. A studio changes how many good ones get to exist at all.

We believe value is created by building, not by selecting. Capital chooses among the companies that already exist. A studio changes how many good ones get to exist at all.

We believe technology should solve real problems, not create new ones. If it doesnโ€™t make the work simpler, faster, or clearer โ€” it doesnโ€™t belong.

We believe technology should solve real problems, not create new ones. If it doesnโ€™t make the work simpler, faster, or clearer โ€” it doesnโ€™t belong.

We believe value is created by building, not by selecting. Capital chooses among the companies that already exist. A studio changes how many good ones get to exist at all.

Our job is not to keep every venture alive. It's to find out early which ones deserve the next euro, and to close the ones that don't, without ceremony and without sunk-cost arguments.

(bpยฎ โ€” FINAL)

Closing Frame

Built To
Stand

AI-native companies built with engineering and
distribution that already work, from thesis to spin-out.

Home
Home
Ventures
Ventures
Articles
Articles
About us
About us
Career
Career
Contact Us
Contact Us

Socials

001.

FACEBOOK

002.

X/TWITTER

003.

LINKEDIN

004.

YOUTUBE

Legal

001.

PRIVACY POLICY

002.

LEGAL ENTITY

003.

TERMS OF SERVICE

003.

INVESTOR DISCLAIMER

BreachPoint is a European venture studio that builds AI-native companies from thesis to seed round.

BreachPoint builds AI-native companies across five verticals.

BreachPoint builds AI-native companies across five verticals.

(bpยฎ โ€” FINAL)

Closing Frame

Built To
Stand

AI-native companies built with engineering and
distribution that already work, from thesis to spin-out.

Home
Ventures
Articles
About us
Career
Contact Us

Socials

001.

FACEBOOK

002.

X/TWITTER

003.

LINKEDIN

004.

YOUTUBE

Legal

001.

PRIVACY POLICY

002.

LEGAL ENTITY

003.

TERMS OF SERVICE

003.

INVESTOR DISCLAIMER