Hyperlab
ES
The GenAI engine to build software and automate work

Build, modernize and automate with AI
without a dev team

Hyperlab builds your products, modernizes your legacy and hyperautomates your operation. You talk business; we handle the engineering. AI does the work and people validate what's critical.

🆕 Build software🔍 Modernize legacy⚙️ Hyperautomate work
✓ No hiring or managing a team✓ Human control where it matters✓ On proven architecture
orders module
“The Save button doesn't work on the customers screen.”
Fixed ✓ — the submit handler was missing.
How to test: go to Customers → edit one → Save → it should confirm.
to confirm0.30 crGenAI
We work on your stack — new or legacy
.NETJavaSpringPHPLaravelDjangoRuby on RailsNode.jsAngularReactVuePostgreSQLMySQLOracleSQL ServermonolitosmicroserviciosAPIs RESTGraphQL.NETJavaSpringPHPLaravelDjangoRuby on RailsNode.jsAngularReactVuePostgreSQLMySQLOracleSQL ServermonolitosmicroserviciosAPIs RESTGraphQL

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.

Three capabilities, one engine

Build, modernize and hyperautomate — all on the same GenAI engine, with the human team behind it that Hyperlab assigns by complexity.

🆕

Build — Build software

Products and MVPs from scratch on proven architecture, plus continuous evolution. The client doesn't hire or manage a team: Hyperlab provides the capacity and that complexity is transparent.

Startups and new products

🔍

Modernize — Modernize your legacy

We X-ray your system and recommend keeping it, going hybrid or rebuilding — and we do it in parts, on your current stack, without stopping operations.

Enterprises: no big-bang

⚙️

Hyperautomate — Automate the work

We identify repetitive tasks, turn them into workflows and build AI agents that run them end-to-end, integrated with your systems, with traceability — escalating to a person when the decision is sensitive.

Operations: processes run by AI

AI where it scales. Humans where it matters.

AI does the heavy lifting; people validate what's critical. The human team exists behind Hyperlab and is assigned by the project's complexity and risk — you don't hire or manage it.

01

Basic

AI codes, verifies and deploys with your approval.

02

Intermediate

A human QA is added, validating before changes reach your users.

03

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. The team behind each level is Hyperlab's responsibility.

How you start

The same flow to build or modernize — only the starting point changes.

1

Starting point

New: business Lean Canvas. Existing: connect your repo → X-ray.

2

AI builds the base

It generates the MVP (new) or the modernization plan (existing), on solid architecture.

3

You iterate from your module

Ask for changes in plain language. The framework codes, verifies and tells you how to test it.

4

You confirm and it evolves

You approve. Sensitive changes never apply on their own. And the product keeps evolving, month after month.

Venture · GenAI for startups

The GenAI engine behind the next generation of software

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.

Example · WhyHello
Hyperlab
platform
GenAI engine
AI + agents + framework
WhyHello
startup
Product
in its users' hands

WhyHello is built on Hyperlab's GenAI engine.

Who it's for

🚀

From idea to MVP

Validate your product in days, not months. Lean Canvas → working MVP, then you iterate without hiring a team.

🏭

Leave your legacy behind

An old system that traps you. We X-ray it and migrate it in parts to something maintainable, without stopping operations.

🛠️

Evolution without devs

The business owner asks for changes in plain language and the framework builds them. Changes in minutes, not in a team's queue.

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 request

one-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

Custom

one-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

On request

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
Recommended

Intermediate

Medium complexity

On request

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

On request

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.

We build software. We modernize systems. We automate work.

We'll show you live how AI builds and evolves your software — with your approval at every step.