From hypothesis to a proven company
Building a startup isn't just writing software. It's turning business knowledge into hypotheses, turning those hypotheses into experiments, getting evidence and using it to decide what to build, what to change and when to scale. Hyperlab accelerates the build; the framework structures the path.
Not a chatbot, a software factory, or a consultancy
It's a GenAI engine: a complete system combining framework, architecture, specialized agents, engineering, QA, integrations and deployment — with human oversight. You ask in business language; Hyperlab builds and evolves the software.
From business to software
Whoever knows the business asks for features, improvements or processes in plain language. No building or managing a technical team.
A system, not a tool
It's not access to a coding AI: it's an engine that codes, tests, integrates, deploys and evolves, end to end.
Humans where it matters
AI does the heavy lifting; people validate what's critical. The higher the complexity and risk, the more oversight.
Building is the focus
Hyperlab's core is turning the idea into product and growing it. Modernizing systems and hyperautomating operations are available on the same engine, as secondary capabilities.
Build the product
From MVP to product that scales, on proven architecture with continuous evolution. The startup doesn't hire or manage a team: Hyperlab provides the capacity and that complexity is transparent.
The focus · startups and new products
Modernize legacy
If there's a system holding you back, we X-ray it and migrate it in parts, on the current stack, without stopping operations.
Secondary capability
Hyperautomate
Repetitive tasks turned into workflows and AI agents that run them end-to-end, with traceability and human escalation when the decision is sensitive.
Secondary capability
AI where it scales. Humans where it matters.
AI does the heavy lifting; people validate what's critical — and what's critical is decided by each action's risk: internal, reversible work passes on its own once checks are green; anything that goes out to a third party needs approval; anything irreversible over money, data or access is always approved by a person. The human team exists behind Hyperlab and is assigned by the project's complexity and risk — you don't hire or manage it.
Basic
AI codes, verifies and deploys with your approval.
Intermediate
A human QA is added, validating before changes reach your users.
Expert
For large or critical projects: human architecture is added to validate logic, data and high-impact changes.
The higher the complexity and risk, the more oversight. Every exception a person resolves becomes learning for the system, so the same case doesn't need intervention again. The team behind each level is Hyperlab's responsibility.
The cycle: from hypothesis to decision
Not a straight line: it's a loop that comes back on itself with more depth at each stage. The MVP is not the validation — it's an instrument to test hypotheses. And not everything is decided with numbers: hypothesis, evidence, operations, economics and context all weigh in. Numbers are part of the evidence, not the whole process.
We structure
We turn business knowledge into hypotheses: what would have to be true for this to work.
We build
We turn the priority hypotheses into something testable — the MVP is the instrument, not the validation.
We experiment
We put the MVP in front of real situations to generate data, not opinions.
We get evidence
We measure what actually happened, separated from what was believed.
We decide
We update the model and decide what's next: continue, adjust, scale or invest.
From hypothesis to a proven company.
A startup isn't built just by writing software. First you have to understand the business. Then turn that knowledge into hypotheses that can be tested. Then build, experiment, get evidence and make decisions based on it. The Venture Framework connects those stages.
▸The founder brings the knowledge.
▸The framework structures the hypotheses.
▸Hyperlab accelerates the build.
▸People validate what's critical.
▸The evidence decides what's next.
The framework isn't about filling in forms: it reduces uncertainty and turns hypotheses into evidence.
Is it worth building?
The business model is structured, the critical hypotheses identified and what must be proven before moving on is defined. The output isn't just a Canvas: it's the definition of the MVP and of what needs to be tested.
Can we prove it works?
The business knowledge becomes product, experiments and evidence. The startup builds, tests, learns and updates its hypotheses as real data appears.
Can it become a scalable company?
Real operations, financial performance, the organization and the business economics are analyzed to build an expansion and valuation thesis.
The Lean Canvas is not the final product
It structures the business knowledge and turns it into hypotheses — not into a number.
What's proven and what's still a hypothesis?
A startup can have a good Canvas, a working MVP, customers and even growth. That doesn't mean all its assumptions are proven. The framework keeps traceability between what's believed, what's built, what's tested, what's actually observed and the decisions made from that evidence.
Evidence traceabilityEvery decision has its traceability chain
At every stage you know where each decision comes from: a belief, something built, something tested or something observed.
The framework defines what must happen.
Hyperlab accelerates how it gets built.
The Venture Framework structures the development and maturing of the business. Hyperlab provides the GenAI engine to turn business knowledge into software, automation and operable systems. AI accelerates the build; people step in where the risk requires it.
For incubators, accelerators and venture builders
A methodology to structure, develop and mature startups, with clear traceability between hypotheses, build, evidence and decisions. We don't predict which startup will win: we give better information to make better decisions.
Go to Hyperlab ValidateWe're working with innovation, incubation and acceleration programs to bring this framework to real cases.
A way of working with startups: technology in exchange for equity
A startup can build its product on Hyperlab without developing its entire AI infrastructure from scratch. On selected projects, Hyperlab contributes technology, development and GenAI capacity under an equity-for-technology model.
We provide the engine; the startup focuses on its business and market.
A real product is already built on Hyperlab's GenAI engine.
For founders, accelerators, incubators and companies
Founders
Turn your business knowledge into hypotheses, build the MVP to test them and move forward with evidence — without building a technical team.
Accelerators
A framework to structure, develop and mature your startups, with traceability between hypotheses, build, evidence and decisions — not just producing MVPs.
Incubators
For each startup, understand what was believed, what was built, what was tested, what evidence appeared and what decision follows. More ideas to product, with judgment.
Companies with legacy
An old system that slows and raises the cost of operations every day? We modernize it in parts, on your stack, without stopping the business.
Companies automating
Repetitive processes turned into workflows and AI agents that run them end-to-end, integrated with your systems and with traceability.
Already in production
Not a promise: real software built and evolved on Hyperlab's engine.
Clear pricing, no surprises
First we measure your project, then we build or migrate it once, and then we evolve it with a monthly plan matched to its complexity. We don't sell magic: it's AI with human oversight where it matters.
1 · X-ray
On requestone-time · credited
We analyze your repo (or your idea) and tell you what's best: keep it, go hybrid or rebuild. You keep the report. If you continue, the value is credited toward the build.
2 · Build
Customone-time · by complexity
We migrate your legacy in parts or build your MVP from scratch, on proven architecture. The price comes measured from the X-ray, not guessed. When done, you move to continuous development.
3 · Continuous development — monthly
They're not SaaS plans: they're levels of human capacity and oversight that Hyperlab provides behind the scenes. You choose based on how critical your project is — the higher the complexity and risk, the more oversight.
Basic
Small projects
monthly credits included
AI codes, verifies and deploys with your approval.
- ✓ AI development runner
- ✓ Codes, verifies and deploys
- ✓ Automatic checks + your OK
- ✓ Monthly credits included
Intermediate
Medium complexity
monthly credits included
You add a human QA that tests before your users.
- ✓ Everything in Basic
- ✓ Human QA validates every change
- ✓ Bugs filtered before production
- ✓ More credits included
Expert
Large, critical projects
monthly credits included
You add an architect that validates logic and data on high-impact changes.
- ✓ Everything in Intermediate
- ✓ Architect validates logic and data
- ✓ Control over high-impact changes
- ✓ Maximum credits included
The included credits cover your monthly usage; if you need more, you only pay for what you use beyond that.
From hypothesis to a proven company.
We're working with innovation, incubation and acceleration programs to bring the Venture Framework to real cases. Let's talk.