Explore, validate and deploy peer-reviewed remediation pathways using RAG-augmented chemistry — from PFAS to carbon capture.
Enter your contamination scenario — PFAS in groundwater, microplastics in marine sediment, GHG capture. Select the pollutant class and add context.
The Archivist searches a curated peer-reviewed corpus via semantic search. If local results are insufficient, the Web Agentic module queries OpenAlex in real time and verifies every DOI through CrossRef.
The Alchemist generates SOTA + 3 divergent remediation pathways via semantic fencing. The Sentinel validates each one for safety and thermodynamic consistency.
Every pathway is grounded in real literature. RAG-augmented retrieval ensures citations are traceable. The Source Mind Map shows exactly which documents supported each reaction step, with EXTRACTED / INFERRED / UNCERTAIN honesty flags.
Try a query →From university labs to environmental consultancies. Project Eos scales from a single researcher to a full team.
ULTRA and Enterprise users skip the queue. Results in seconds, not minutes.
Integrate directly into your LIMS or data pipeline via REST API with SSE streaming.
Enterprise clients can seed the vector DB with proprietary literature and internal reports.
Every query, pathway and citation is logged with a provenance hash for regulatory compliance.