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The technical cofounder
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Grow 10x with us
We build AI-native companies
with the leaders who own the market.

You bring the market knowledge and the access. We bring the AI stack, the security and the engineering — and together we turn a service company into a product that thrives in the new era.

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Our partners and clients
Sidra Medicine
Zebra BI
Bright
Trajan Wealth
RMI
BE-terna
Excellerate Energy
Liburnia
Robotina
Saron
EJET
EK
Sidra Medicine
Zebra BI
Bright
Trajan Wealth
RMI
BE-terna
Excellerate Energy
Liburnia
Robotina
Saron
EJET
EK
Benchmarked in numbers
10+Systems & ventures
operated
$0billed as
hourly advisory
100%builds in
regulated environments
40+embedded
experts
ProblemOpportunity

Everyone is selling AI tools to the firms doing the work.
The opportunity is to be the firm.

One side: vibe-coded AI tools. Fast, but leaking data, ungoverned, with runaway token costs.

The other: traditional vendors. Safe on paper, but locked in, slow and expensive to change.

We take a third route — we partner with the people who already own the market knowledge and the access, and put the AI and the security behind them.

The signals you need to lean in
The market
“The next decade’s biggest companies won’t sell software”
Charlie Warren · Y Combinator · Startup School
The model
“AI as the operating system, not another tool”
Diana Hu · Y Combinator · Startup School
The proof
“One operator, a team of agents, a working product”
AI-native operator walkthrough
Get free access Book a 30 min call
80% faster to build 90% cheaper to run 100% yours
You bring the market. We bring the tools and the team

Operating system + team = AI venture factory

The OSFree to use

The Venture OS platform, free to use.

One governed platform for your agents, requirements and deployments. You define the intent; it coordinates the work and keeps every decision visible, auditable and yours — running in your own environment.

Venture OS build lifecycle dashboard
Explore Venture OS →
The teamConsultancy + execution

Forward deployed engineers who build alongside you.

Our FDEs embed with your team, learn how the business actually runs, and build on the platform with you. Not a delivery contract at arm's length — engineers in the room, accountable for what ships.

We build an AI-native company with you and deploy our tech
Operations OS
Compliance OS
Finance OS
Knowledge OS
Revenue OS
Custom OS
Partnership mode — you fund the build, we deliver it as your technical partner.
or
Venture mode — we invest our own time and engineering, and become your technical cofounder.
Book a 30-minute call →
Everyone says AI. Here's the difference

How are we really different

Most AI vendors sell a wrapper. Your data feeds their moat, their token bill eats your margin, and compliance lands on you. We build the opposite.

01

We protect your alpha

Your data and workflows stay in your environment, under your keys. Never a training set.

Your infra No training on your data Full IP transfer
02

We make you genuinely sovereign

You own the system. The model layer is swappable — cloud or local, metered by you.

WrapperCost scales with usage
Venture OSCost flattens as you scale
03

Security and compliance by default

Monitoring, pentests, ISO 27001 and GDPR alignment ship with the build — not a checklist at the end.

SOC 24/7
Pentests
ISO 27001
Full audit log
04

We take the risk with you

Engineers in the room, not a statement of work. In venture mode we invest our own engineering.

No lock-in — you keep the code, the models and the runbooks.
Skin in the game — venture mode ties our upside to yours.
How we work

Our 3-step framework and process

01

Redesign the foundations

An AI-native company doesn't run on the foundations of a service business. Data, permissions and decision rights have to be rebuilt so machines can act on them safely. We map yours and hand you the blueprint: the uplift, the human-AI split, the timeline.

02

AI operates the business, securely and privately

Replace up to 90% of your internal software with custom tools and AI agents that stay yours — deployed on your infrastructure, running without a token meter, and keeping your private data and know-how as an advantage nobody can rent out from under you.

03

Humans operate the AI

The key decisions stay with your core team. Your people approve what the AI proposes instead of assembling it by hand — so you operate lean, with clarity, and with AI superpowers behind every call.

Growth that raises cost and dependency isn't growth

We automate growth and cut the cost and dependency that come with it.

GROWTH → TIME → Autonomous growth Cost & dependencydecreasing
01 — Become autonomous

Automate 80% of the work.

The company runs itself in the background. The same team serves more, without adding headcount.

02 — PROTECT YOUR ALPHA

Stop renting your alpha to someone else's model.

Every prompt to a vendor cloud is your edge, billed per token. Run it in your own environment: costs drop, the platform fee disappears, the knowledge stays yours.

AI Ventures we co-built

Built with industry leaders on our own stack and our own team — and still co-operated by us today.

Qualitum
Visit ↗
Digital validation for life sciences.
Launched 2026
Cuts validation time roughly in half
Runs private, on your infrastructure, on any model
Procurato.ai
Visit ↗
Procurement and tender automation.
Launched 2026
Turns a tender pack into a draft response in hours
Built for regulated buyers with audit trails
wiz.legal
Visit ↗
Adversarial review for legal teams.
Launched 2026
Builds the other side's argument before they do
Reads long instruments end to end, not in chunks
Verne Marine
See the work ↗
Fleet and maritime operations.
Launched 2026
Outcome claim to come
Second outcome claim to come
knowledgelayer.ai
Visit ↗
The private knowledge layer.
Launched 2026
Every document and decision made queryable
Never leaves your environment
cryptera.ai
Visit ↗
Keys and secrets you never outsource.
Launched 2026
Trust stays inside your own perimeter
Built for institutions that cannot delegate it
And many more

Built with partners under their own brand, or still under wraps.

Read Impact Studies ↗

Proprietary technologies

We use these to build your products and your company AI-first — protecting your data, holding up in tough environments, and beating the competition.

CORTEX
Multi-agent orchestration
SONAR
Document retrieval
ATLAS
Knowledge layer
MIRROR
IoT digital twin
VEIL
Message encryption
MINT
P2P settlement

High growth is a team sport. This is why we work with best-in-class partners, tools, and people.

Sidra Medicine
Zebra BI
Bright
Trajan Wealth
RMI
BE-terna
Excellerate Energy
Liburnia
Robotina
Saron
EJET
EK
Sidra Medicine
Zebra BI
Bright
Trajan Wealth
RMI
BE-terna
Excellerate Energy
Liburnia
Robotina
Saron
EJET
EK

Our case studies

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Who is this for

People who already own the hard part.

We don't supply domain knowledge — you have it. We supply the machine that turns it into software, and the team that operates it with you.

01

Agency & consultancy owners

You already own the knowledge, the client relationships and the service. It just isn't productized. We turn the delivery you repeat every month into software you own — and automate the process work around it.

Repeatable delivery → product
02

Subject matter experts

Two decades of judgment living in your head, your spreadsheets and your inbox. We encode it into agents and tools that apply it at scale, with your name on the IP.

Expertise → owned system
03

Regulated industry leaders

Healthcare, finance, public sector, defence. You can't vibe-code a system that has to pass an audit. Every decision is documented, every agent action logged, compliance built in from the first sprint.

Auditable by construction
04

Vertical service company owners

Legal, accounting, engineering, logistics, marine. High-margin work trapped in manual process. We rebuild the operation as your own vertical software — no per-seat licence, no token meter.

Vertical ops → your own OS
05

Innovators

Operators and builders inside a company who can see the AI-native version of it and can't get it out of a slide deck. We give you a working system fast enough to prove the case — and one you keep when it works.

Idea → proof in weeks
06

Market makers with the relationships

You can open any door in your industry and you know exactly what the market would buy — you just have nothing to sell that's yours. You bring the demand and the distribution; we build the product behind it and you own it.

Distribution → product
See if it fits — 30-minute call →
FAQ — devil's advocate

The objections we'd raise if we were you.

Isn't this just another AI wrapper with a nicer deck?

A wrapper resells someone else's model and keeps you on their meter. We hand over the code, the infrastructure and the model layer — you can swap Anthropic for a local model on a Tuesday and nothing breaks. If we disappeared tomorrow, your system keeps running. That's the whole test.

What stops us building this in-house?

Nothing, and some clients should. It takes a platform team, a security function and 12–18 months of learning what not to do. We arrive with that already built and paid for. If you already have a strong platform team, we'd rather sell you the platform than the project.

AI-generated software is unmaintainable. Why is yours different?

Because the code isn't the artifact — the requirement, blueprint and work order that produced it are. Venture OS is both the guiding framework and the tool: it enforces that every module traces back to a written intent and a test, so when something needs to change you change the intent and regenerate, instead of doing archaeology on a prompt someone typed nine months ago. And the platform doesn't run itself — our forward-deployed builders operate it with your team, so the standard holds after handover.

Our data can't leave our environment. Full stop.

Then it doesn't. Deployment runs in your cloud, your on-prem or a sovereign EU region, with your keys. Nothing you give us is used to train a model, and the audit log shows every place data was touched. This constraint is the reason the architecture looks the way it does.

What if the AI gets it wrong in a regulated process?

It will, sometimes — which is why no agent action ships on its own. Gates are human-approved, tests run against the original requirement, and every decision has an owner and a timestamp. You're not betting on the model being right; you're betting on catching it when it isn't.

This sounds expensive.

It's a fraction of the internal software it replaces, and the cost curve flattens instead of scaling with usage — no per-seat licence, no token bill that grows with your success. We'll show you the unit economics before you commit. If the numbers don't work, we'll say so.

Who owns the IP when we're done?

You do — code, models, prompts, documentation, runbooks. In venture mode we take equity instead of margin, so our incentive is that the thing still works after we leave. No escrow games, no licensed core you can't touch.

What happens when your team walks away?

Handover is a deliverable, not a goodwill gesture: documented architecture, runbooks, tests and a trained operator on your side. We stay on as support if you want us. The measure of the engagement is whether you'd be fine if we didn't.

Ask us a harder one →
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