AegisMind ingests literature across 15+ scientific domains, generates cross-domain hypotheses through adversarial multi-model debate, and validates each discovery with Z3 formal reasoning — producing Experimental Validation Packages with full protocols.
The engine runs continuously, surfacing novel hypotheses across biology, climate, materials science, and more.
GPT, Claude, Gemini, Grok, and Mistral debate each hypothesis. Surviving ideas are stronger ideas.
Every discovery is checked for logical consistency via Z3 theorem proving before an EVP is issued.
Cross-domain breakthroughs generated and validated by the AegisMind engine.
Taming Momentum can be applied to reduce the memory footprint of models used in FlashOptim.
Adaptive gradient sampling inspired by uncertainty-aware reduced-order models can reduce the number of expensive functio…
FlashOptim's memory-efficient techniques can reduce the cost of training LLMs
FlashOptim's memory-efficient mixed-precision training can be extended to surrogate models used in amortized optimizatio…
A three-stage pipeline that turns scientific literature into validated discoveries.
The engine continuously ingests peer-reviewed literature spanning biology, physics, climate science, neuroscience, materials, epidemiology, quantum chemistry, and more. Each paper is embedded and indexed for cross-domain retrieval.
Five frontier models — GPT, Claude, Gemini, Grok, and Mistral — independently propose cross-domain hypotheses, then challenge each other's reasoning. The metacognitive monitor evaluates debate quality; only hypotheses that survive adversarial scrutiny advance.
Surviving hypotheses undergo Z3 formal reasoning to check logical consistency. Valid hypotheses are packaged as EVPs — with full experimental protocols, confidence scores, cost estimates, and debate transcripts.
Research teams gain API access to the AegisMind discovery engine. Submit domain constraints and receive a curated stream of EVPs — each with a full experimental protocol, confidence breakdown, and debate transcript so your team can evaluate reasoning, not just conclusions.