From problem to grounded concept — in 7 days.
Every night, the system sources and structures thousands of patents and scientific papers around your problem — the reading a research team would need weeks to do.
Each morning you spend a few focused hours on the only part that needs you: deciding what's relevant, what transfers, and what's worth building.
Classic sprints fill a whiteboard with guesses. We begin in real prior art: proven mechanisms from your field and from other industries. You react to what's been engineered, not to an empty room.
Same time-boxed rhythm you know. But every idea on the wall traces back to a real source — a patent figure, a claim, a mechanism proven somewhere else. When you present it, the evidence is already attached.
A fixed rhythm: you judge by day, the system does the heavy knowledge-work overnight — so each morning there's fresh, structured material waiting.
AI decides.
AI drives. You decide.
AI-driven doesn't mean AI does everything. It means the AI does the driving — the reading, the sifting, the drafting — while you stay in the driver's seat for every decision that matters. Not a robotaxi for ideas. A car you steer.
The AI can read a hundred thousand patents. It can't tell you which future is worth building. That's the part that stays yours — start to finish.
The problem worth solving, the question worth asking. The machine never picks the goal — it only helps you reach it.
Which sources, which directions, which ideas earn a second look. Your engineering judgment steers every turn.
Whether a concept is good enough to build is your call — never the model's. The machine proposes; you dispose.
Between those three points — the AI does the driving.
People do all the reading, searching and drafting. Thorough, but slow — and bounded by how much one team can hold in its head.
Weeks · manpowerThe machine does the groundwork at machine scale; you make every call that carries judgment. Fast and accountable.
Days · you in controlHand over the wheel, trust the black box, hope the output holds up. No traceability, no accountability, no one to stand behind it.
Fast · but driverlessUp to three worked concepts — each embedded in a rich context package of scientific papers and patents, plus a roadmap of next steps. So your development team can pick it up and continue, seamlessly, inside their own structures. The concepts themselves come in three honest kinds:
Potentially protectable — a genuinely new combination worth an FTO look and a patent conversation.
Proven elsewhere, unused by you. The most valuable find — build better and cheaper, today.
With the evidence for why. Knowing what doesn't work — and why — is part of the value.
And the next step. Your team continues straight from the concepts — and the natural follow-on is to connect them to your internal development environment and your own data (CAD drawings, material data, costs), turning the concept into a product. The sprint itself ends, by design, at a decision-ready concept — not at FTO clearance, simulation, or a prototype.
Bring one real engineering problem. Seven days later, walk away with up to three grounded concepts, the context package, and a roadmap.
No risk: start with a short call — problem, scope, price, confidentiality (NDA). Then you decide. · Pricing on request · Pilots underway, references on request.