Governed AIfor discovery.
Heuresis turns probabilistic AI into governable infrastructure. PROTEUS finds the biological target, governed models propose novel molecules, deterministic oracles verify each step, and every result leaves with a proof pack and full lineage.
1. PROTEUS finds the target
COVENANT resolves genomes, TRINITY fuses biomarkers, and PROTEUS maps the biological target space under deterministic, versioned, cryptographically anchored execution.
2. The substrate compounds
Every clinical, research, and consumer run enriches structured clinical logic objects, the Hardy Bridge, and the anchored molecular reference vault, giving Heuresis a denser governed substrate to reason over.
3. Governed models propose
A governed network of cross-domain scientific agents and compound-design models explores targets, mechanisms, and molecules across biology, chemistry, medicine, systems, and evolution.
4. Deterministic oracles verify
RDKit, docking, simulation, and source-linked validators gate every candidate finding. Nothing is called active, drug-like, or novel without the result that establishes it.
5. Proof packs and lineage seal the result
Every accepted output carries evidence, oracle versions, novelty records, and lineage in a tamper-evident record before it leaves the loop. Verified discoveries then sharpen the next run.
Governance
A governed production loop, not raw model theater.
Heuresis only compounds if nothing unsupported enters the substrate. Every stage is gated by deterministic rejection, cryptographic provenance, content-free audit, and immutable lineage.
Cross-domain synthesis at scale
Heuresis operates across biology, chemistry, medicine, systems, and evolution so research questions can become findings no single discipline would reach alone.
Deterministic oracle gate
Every finding is gated by deterministic oracles before promotion. No unsupported claim propagates through the substrate.
Proof packs on every result
Every output carries evidence, oracle versions, novelty status, and source-linked quantitative claims so downstream teams can inspect what actually earned trust.
No-escalation runtime
The runtime operates with allow-listed execution, drift monitoring, and a hard no-escalation ceiling. Nothing advances that governance did not authorize.
Tamper-evident lineage
Every promoted finding records the exact model, charter, agent set, oracle stack, and operator that produced it. Nothing enters shared knowledge without lineage.
What The Platform Does Now
Built for discovery teams that need evidence, not vibes.
Heuresis is already structured around governed discovery, molecular design, simulation, mechanistic modeling, and enterprise deployment without losing provenance or auditability.
Autonomous discovery
Governed discovery cohorts turn research questions into findings, auto-review each proposal, and kill incoherent or unsupported work before it compounds.
Molecular design and structure
Designed molecules are tracked by InChIKey identity with proof packs, docking history, calibrated scoring, hypothesis-tier homology modeling, and structure-free target relatedness via embeddings.
Simulation ladder
One-click study protocols can span PBPK and ADME, in-vitro clearance, molecular dynamics, quantitative systems pharmacology PK/PD, Monte Carlo uncertainty, and combination-therapy windows.
Mechanistic modeling
Disease-agnostic mechanistic hypotheses are composed from a fixed motif vocabulary with anti-circularity controls so a model cannot launder itself into evidence.
Trust and knowledge
Claim verification, adversarial review, RAG plus knowledge graph retrieval, scoped knowledge visibility, and neoantigen or vaccine-design workflows extend the governed loop into operational knowledge.
Enterprise deployment
Multi-tenant RBAC, usage metering, partner rate cards, connectors and MCP, access-scoped reporting, a self-hosted model stack, and a full UI in 19 languages make the system deployable now.
Illustrative Outputs
Examples of governed research output.
These examples show the kind of cross-domain findings Heuresis can surface inside a governed session before further partner-specific review.
Ferroptosis Biomarker Framework
A candidate framework for identifying and staging ferroptosis-driven pathology from routinely available biomarker patterns, synthesized from cross-disciplinary evidence.
Phase-Separation GPX4 Catalysis
A mechanistic hypothesis for how liquid-liquid phase separation modulates GPX4 catalytic activity, drawing on biophysics, redox biology, and structural chemistry lines of evidence.
Selenocysteine-Competent Cell-Free Translation
A design proposal for a cell-free translation system competent for selenocysteine incorporation, integrating synthetic biology and translational machinery constraints.
Illustrative research outputs only. None constitute clinical guidance or release-ready claims. External sharing remains gated by proof packs, provenance, and partner review requirements.
Interested in governed AI for discovery?
Partners and investors can review Heuresis through a proof-backed walkthrough focused on governed discovery, sovereign deployment, and verifiable outputs.