BreachPoint

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Br3achP01nt_

(bp® — ABOUT)

OUR APPROACH

Focused on building AI systems that operate reliably
across real workflows and business processes.

Focused on building AI systems that operate reliably across real workflows and business processes.

VALUES • IDEAS • VIEW •VALUES • IDEAS • VIEW •

(bp® — ABOUT)

THE STUDIO

How
We Build

We build AI-native companies inside real markets,
not decks, prototypes, or portfolios of options.

We build AI-native companies inside real markets, not decks, prototypes, or portfolios of options.

EXPLORE OUR APPROACH

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 exist at all.

Our focus is not on keeping every venture alive, but on finding out early which ones deserve the next euro — and on closing the ones that don't, without ceremony and without sunk-cost arguments.

Our focus is not on adding automation for the sake of it, but on designing systems that remain understandable, controllable, and aligned with real operational needs.

(bp® — ABOUT)

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 — 3

Thesis & Evidence

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

Month 3 — 9

Build to Production

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

Month 9 — 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 — 3

Thesis & Evidence

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

Month 3 — 9

Build to Production

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

Month 9 — 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 — 3

Thesis & Evidence

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

Month 3 — 9

Build to Production

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

Month 9 — 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 — 3

Thesis & Evidence

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

Month 3 — 9

Build to Production

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

Month 9 — 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.

Our goal is not to place bets. It’s to build companies that survive contact with a real market.

German + Zeke

Founders

EXPLORE ALL CASES

Our goal is not to place bets. It’s to build companies that survive contact with a real market.

German + Zeke

Founders

EXPLORE ALL CASES

Metrics

Verticals in the active portfolio

Validation gates per venture

Full-time operators

Operating companies behind the studio

(bp® — ABOUT)

Built Around Real Work

What shapes how we think, build, and
approach real operational systems.

Testing the thesis

Talking to buyers before writing code

Sharing the platform

Reusing agents and infrastructure across ventures

Working through gates

Comparing evidence against written criteria

Our work is shaped by how
markets actually behave, not
by how decks describe them

We don't build AI companies for the sake of it.

We build where execution and distribution decide
the outcome — where a product has to reach
a paying customer, and where being wrong
has to be cheap to discover.

START WITH BREACHPOINT

Designing for regulation

Classifying risk before the product exists

Selling it ourselves

Taking ventures to their first paying customers

(bp® — ABOUT)

Insights & Research

Questions that matter

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.

TALK TO A PARTNER

001.

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

No. We use frontier models where they’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?

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?

002.

How long does it take to see ROI?

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?

003.

Can we integrate AI agents with our existing stack?

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?

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?

Focused on building AI systems that operate reliably across real workflows and business processes.

Who We Are (®)

Who
We Are (®)

Who We Are (®)

How
We Build

Our focus is not on adding automation for the sake of it, but on designing systems that remain understandable, controllable, and aligned with real operational needs.

Turning validated theses into
companies that stand on their own

Turning validated theses into companies that stand on their own

What Drives Us

What Drives Us

Recent articles

Recent articles

Recent articles

Questions that matter

Questions that matter

Core Questions

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

001.

001.

002.

002.

002.

003.

003.

003.

004.

004.

005.

005.

Focused on building AI systems that operate reliably across real workflows and business processes.

Who We Are (®)

Who We Are (®)

Who We Are (®)

How We Build

Our focus is not on adding automation for the sake of it, but on designing systems that remain understandable, controllable, and aligned with real operational needs.

Turning validated theses into companies that stand on their own

Turning validated theses into companies that stand on their own

What Drives Us

What Drives Us

Recent articles

Recent articles

Recent articles

Questions that matter

Questions that matter

Core Questions

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

001.

001.

002.

002.

002.

003.

003.

003.

004.

004.

005.

005.

Who
We Are (®)

How
We Build

Turning validated theses into
companies that stand on their own