10x Your R&D
Breakthrough Rate
The AI co-pilot for R&D teams in biotech, materials science, clean energy, and advanced manufacturing. Resolve Contradictions of Requirements in minutes — not months.
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Try a real R&D contradiction:
From Contradiction to Breakthrough in 3 Steps
Powered by 70 years of TRIZ research, 400+ cross-industry analogies, and modern AI — built for serious R&D teams.
State Your Contradiction
Describe the technical or physical trade-off blocking your R&D progress. The AI understands domain-specific language from pharma, materials science, energy, and engineering.
AI Maps to TRIZ Framework
The system maps your contradiction to TRIZ's 40 inventive principles, the 39×39 contradiction matrix, and 76 standard solutions — then searches 400+ industries for analogous breakthroughs.
Get 10x Faster Resolution
Receive ranked, structured solutions with cross-domain analogies, applicable inventive principles, and a ready-to-run experiment design — compressing months of ideation into minutes.
The Domains Where TRIZ Changes Everything
Dario Amodei identified five civilisational domains where AI can compress 50–100 years of progress into a decade. TRIZ methodology has been resolving the core contradictions in each of these domains for 70 years. TRIZ-GPT brings both together.
Biotech & Pharma
Core contradiction: Drug efficacy vs. toxicity
A pharma team resolved a 3-year drug delivery contradiction by applying a food emulsion principle — reducing toxicity 40% without sacrificing bioavailability.
Materials Science
Core contradiction: Strength vs. weight vs. thermal stability
An aerospace materials team used TRIZ Principle #3 (Local Quality) to solve a composite delamination problem — inspired by a ceramics technique from dental implants.
Clean Energy
Core contradiction: Energy density vs. thermal safety in batteries
A battery R&D team resolved a lithium-ion thermal runaway contradiction using a phase-change material principle originally developed for spacecraft thermal control.
Semiconductor & Electronics
Core contradiction: Processing speed vs. power consumption vs. heat
A chip design team applied TRIZ Principle #10 (Preliminary Action) to resolve a thermal dissipation contradiction — cutting power consumption 28% at the same clock speed.
Healthcare & MedTech
Core contradiction: Patient throughput vs. care quality
A hospital system used TRIZ Principle #15 (Dynamism) to redesign a surgical workflow, increasing throughput 35% while reducing adverse events.
Advanced Manufacturing
Core contradiction: Production speed vs. quality vs. cost
A precision manufacturing team resolved a tolerance-vs-speed contradiction using a biological self-assembly principle — reducing defect rates 60% without slowing the line.
Breakthroughs Hide in Other Industries
The most powerful R&D breakthroughs come from unexpected analogies across fields. CRISPR was a bacterial immune system. Velcro was inspired by burr seeds. The Cross-Domain Discovery Engine finds these connections for your specific contradiction.
Battery thermal management
→ Food preservation (phase-change cooling)
Drug nanoparticle delivery
→ Aerospace fuel atomisation
Composite delamination
→ Dental ceramics bonding
Your Contradiction
Lithium battery energy density vs. thermal runaway risk at high charge rates
Aerospace
Phase-change thermal buffers from spacecraft TCS
Food Science
Encapsulation techniques from emulsion stabilisation
Nuclear
Passive cooling geometry from reactor design
Popular Templates
✓ 4 guided questions
✓ Industry-specific examples
✓ 4 guided questions
✓ Industry-specific examples
✓ 4 guided questions
✓ Industry-specific examples
See TRIZ-GPT in Action
A real EV battery contradiction — from problem description to 3 breakthrough solution concepts in under 60 seconds.
What R&D Teams Are Saying
Scientists and engineers in pharma, aerospace, and advanced manufacturing use TRIZ-GPT to compress months of ideation into hours.
"I especially liked the introduction of Standard Solutions. Generating rationales will be very helpful to many who struggle from transferring from principles to how those concepts could be applied. I am impressed with the way your application works."
Ian
Verified UserTRIZ Practitioner
"We resolved a 3-year drug delivery contradiction in one session. TRIZ-GPT surfaced a solution from food emulsion science that our team would never have found alone."
Dr. Elena V.
Principal Scientist, Pharmaceutical R&D
"Our materials team uses it weekly. The cross-domain discovery alone is worth the subscription — it found a ceramics technique that solved our thermal barrier problem."
Dr. James T.
Chief Materials Engineer, Aerospace Division
"I've practiced TRIZ for 20 years. This is the first tool that genuinely accelerates the methodology rather than just digitising it. Our R&D velocity is 10x what it was."
Prof. Mikhail R.
Innovation Director, Advanced Manufacturing Institute
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