Discovery + Validation + IP in 12 weeks. The first upstream intelligence platform that tells R&D teams what breakthrough concepts to pursue—before they build a single prototype.
KRAFT is an upstream R&D intelligence platform that combines Scientific AI and Physics AI delivering patent-ready concepts before design, simulation, or prototyping begins.
The Real Problem
Every R&D leader carries these anxieties. KRAFT is the first platform that answers all four.
Marketing wants moonshots; endless debates block breakthrough discovery
Scans 50+ industries, delivering 100+ validated concepts in weeks
Costly prototypes fail; board demands proof before $50M commitment
Physics-AI tests 40 concepts in 24 hours not 6 Months
Gut feelings fail audits; leadership demands defensible IP rationale
Complete problem-to-IP chain with systematic, auditable decision justification
Innovation relies on heroes; no scalable institutional methodology
120+ Think Models become organizational assets juniors perform senior-level consistently
Discovery finds concepts. Invention filters to winners. Validation
proves feasibility. The system learns from every breakthrough.
Cross-domain knowledge graphs synthesize 50+
industries to
generate 100+ moonshot
concepts.
F-35 cooling → EV battery breakthrough.
Map concepts to customer constraints. Filter down
to top 20
candidates with market fit,
regulatory
compliance, and feasibility scores.
Physics-AI simulates thermal, structural,
aerodynamic feasibility.
Deliver 3-5
patent-ready
IP drafts with complete traceability.
Cross-domain knowledge graphs turn proven
ideas into breakthrough solutions.
Primary, Complementary
947 patents analyzed in seconds
Aerospace → Automotive
CAD-ready concepts, not text
Physics-AI validates feasibility fast, eliminating
costly prototype risks early.
24 hours vs 6-month cycles
aerodynamic analysis
manufacturing, materials, assembly
feasibility proofs
Purpose-built knowledge networks for engineering R&D
Proven Impact
ROI Verified
Unified intelligence for the entire R&D organization.
3 patents filed in 8 months vs our 24-month baseline
Board wants moonshots engineering demands proven certainty.
AI generates, validates, delivers patent-ready innovations fast.
Systematic measurement of innovation health achieved.
80% of innovation projects fail. You can't predict which 20% will succeed.
Portfolio analytics reveal cross-domain breakthrough patterns.
$150K pilot saved us $12M in failed prototypes.
80% of innovation projects fail. You can't predict which 20% will succeed.
Portfolio analytics reveal cross-domain breakthrough patterns.
Junior engineers now deliver senior-level concept work.
Success depends on "hero" engineers. When they leave, innovation stops.
120+ Think Models become organizational assets.
The traceability chain makes the IP practically bulletproof
Patent filings are often weak, easily circumvented, lack strategic rationale.
USPTO-ready applications with complete traceability chain.
I found a cooling solution in biology I never would have looked for.
Brilliant in-domain team, blind to cross-industry solutions.
AI knowledge graphs uncover unseen cross-industry solutions.
Unified intelligence for the entire R&D organization.
Board wants moonshots engineering demands proven certainty.
AI generates, validates, delivers patent-ready innovations fast.
80% of innovation projects fail. You can't predict which 20% will succeed.
Portfolio analytics reveal cross-domain breakthrough patterns.
80% of innovation projects fail. You can't predict which 20% will succeed.
Portfolio analytics reveal cross-domain breakthrough patterns.
Success depends on "hero" engineers. When they leave, innovation stops.
120+ Think Models become organizational assets.
Patent filings are often weak, easily circumvented, lack strategic rationale.
USPTO-ready applications with complete traceability chain.
Brilliant in-domain team, blind to cross-industry solutions.
AI knowledge graphs uncover unseen cross-industry solutions.
The Complete Platform
Not just a discovery tool. KRAFT is the complete upstream intelligence layer for R&D.
AI converts complex science into
breakthrough solutions.
Systematized frameworks: TRIZ,
biomimicry, first principles.
PhysicsNeMo tests 40 concepts
in 24 hours.
Systematic path: problem,
concept, validation, IP.
USPTO-ready patents, defensible,
3-5 per sprint.
Track patterns across programs,
boost impact 215%.
Trusted by Global Engineering R&D • Part of NVIDIA Inception program
Generic AI learns language. KRAFT enforces physics. Every idea entering the system must satisfy governing equations — Fourier's Law, Navier-Stokes, von Mises — before it can progress. An idea that violates thermodynamics doesn't get flagged. It gets rejected, computationally, before it wastes a single engineering hour. That's not a prompt. That's a physics compiler.
Simulation answers does this design work? KRAFT answers which of 2,500 directions is worth simulating at all? In benchmarking, KRAFT eliminated 96% of design variants as physically non-viable before simulation ran — cutting compute cost from $50,000 to $174. Your simulation team is a precision instrument. KRAFT decides what it touches.
It doesn't search by industry. It searches by equation. Your battery thermal problem maps to a governing Nusselt-Reynolds relationship — and KRAFT finds every domain across 42 industries where that same equation has been solved, regardless of what those solutions are called. Rocket regenerative cooling. Biomedical microvasculature. Neither appears in battery literature. Both transfer directly. That's Physics Bridge Equation Matching — and it's why our causal match rate is 0.85–0.95 versus 0.3–0.5 for keyword search.
KRAFT doesn't just say no. When a concept violates a physical limit — material yield, phase-change threshold, flow boundary — it issues an INVALIDATED verdict and immediately generates a Re-framing Directive: the exact mathematical adjustment needed to make the concept viable. You leave knowing what not to build — and precisely what to build instead.
KRAFT is built for strong teams — it's useless without them. What it removes is the one constraint no expert can overcome alone: no engineer can track breakthroughs across 42 industries simultaneously. KRAFT does. Your team evaluates, refines, and implements. KRAFT expands the solution space they operate within.
First physics-validated concept set: 8–10 weeks. No CAD models required. No PLM integration needed to start. An engineer inputs the problem with its governing physics — KRAFT begins cross-domain traversal immediately. The Mahindra proof-of-concept generated validated thermal management concepts and patent candidates within that window.
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