Quirae EngineeringR&D Lab
R&D that answers the only question that matters: can we make it cheaper and still pass?
Prototype any reinforced thermoplastic construction, let AI propose alternatives from your own material library, and get deterministic, source-cited numbers for every candidate — in minutes, not lab-weeks.
AI proposes. The kernel verifies.
Concept generation never touches the physics. The AI drafts candidate constructions from your material library; the same deterministic kernel that rates your production designs evaluates every candidate — rating, burst, weight, cost per metre, and the full check list — before anything reaches your screen.
Every number from the deterministic kernel. Every AI output labeled.
Prototype
Prototype any construction
Liner, tapes, layer count, winding angle, tape width and pitch — evaluated the moment you save: pressure rating, burst estimate, axial capacity, weight, cost per metre, and a temperature derating curve. Materials you add carry their own properties and sources, so nothing hides in a catalog.
Compete
Chase a cost target
Set the target and let the lab work: AI candidates spanning different tapes, angles, and coverage strategies, each one kernel-verified and ranked by cost among those that pass. In live testing the generator found designs double-digit percent cheaper than baseline — every one still passing every check.
Candidates that fail are ranked last with the reason, so you see the edge of the envelope, not just the winners.
Deliver
Take it to the bid
Every check carries its source — standard clause, manufacturing limit, or material sheet. Export a PDF report with the charts, a sources appendix, and a clearly labeled AI assessment. Standards guidance (API 15S, ISO 18226, DNV-ST-F119) is included as an advisory starting point for qualification.
Engineering first
Built for engineers who sign their numbers
Deterministic, versioned kernel
Same inputs, same kernel version, same result — every time. Results are stored with the version that produced them.
Sources on every formula
Netting analysis with citations on each check: standard clause, manufacturing limit, or material sheet. The report carries them all.
AI outputs always labeled
Justifications, standards guidance, and property suggestions carry the provider and date, on screen and in the PDF.
Humans confirm AI data
AI-estimated material properties must be confirmed by an engineer before a design using them can advance.
Lead your market on engineering, not just price.
Bring the construction you keep losing bids on. We will run the R&D Lab against it, live, on your numbers.