Project Zero
AI-powered scientific research, starting with olfactory chemistry.
Project Zero is Nexomeric's first domain-specific research system – demonstrating our modular AI architecture through molecular analysis, property prediction, safety evaluation, evidence retrieval, and candidate exploration in olfactory chemistry.
Product scope
The first domain for Nexomeric's scientific AI platform.
Olfactory chemistry is scientifically challenging enough to validate the architecture, narrow enough for an MVP, and commercially relevant – demonstrating how AI can help researchers navigate complex scientific design spaces before costly experimentation.
Molecular analysis
Validate SMILES, compute descriptors, compare structures, and build molecule profiles for olfactory use cases.
Odor prediction
Use olfactory models and evidence retrieval to estimate descriptors, odor-space similarity, and confidence.
Safety screening
Evaluate toxicity, structural alerts, regulatory references, and caveats before candidates move toward lab testing.
Evidence retrieval
Search scientific literature, patents, datasets, safety records, and similar molecules for grounded context.
Candidate exploration
Support inverse design workflows such as finding safer, cheaper, or more sustainable aroma molecule candidates.
Traceable outputs
Produce reports, rankings, next experiments, limitations, and workflow traces that researchers can inspect.
How it works
Planner first, tool-grounded at every reality checkpoint.
Project Zero separates reasoning from scientific computation. The planner decides what needs to happen, while specialist agents and tools produce the evidence.
Principle Engine
Loads olfactory rules, safety boundaries, task constraints, and reward criteria before execution.
Hybrid MCTS Planner
Explores candidate research paths, then executes reality checkpoints with real model and retrieval results.
Specialist agents
Coordinates retrieval, chemistry analysis, olfactory prediction, literature, validation, design, and insight synthesis.
Tool and evidence layer
Connects RDKit, vector search, knowledge graphs, olfactory models, chemistry models, patents, papers, and safety data.
Self-play debate
Advocate, critic, and judge agents can stress-test high-risk hypotheses, weak evidence, and low-confidence outputs.
Trajectory logger
Records tool calls, model outputs, limitations, estimated versus real rewards, and branches discarded or regenerated.
Representative workflows
From research questions to decision-ready outputs.
Who it serves
Built for chemical olfaction R&D teams and researchers.
Validation plan
Honest about the hard science, explicit about how it will be tested.
Structure-odor prediction has sparse datasets, noisy labels, uncertain receptor-level biology, and out-of-distribution risk. Project Zero is designed to expose confidence and caveats while the MVP is validated.
Dataset benchmarks
Evaluate selected prediction workflows on GoodScents and Pyrfume with accuracy, F1, and cross-validation consistency.
OOD awareness
Test whether the system flags structurally novel molecules and poorly supported predictions before overconfident output.
Pipeline reliability
Compare multi-tool execution against single-model baselines for hallucinated citations, routing errors, and inconsistent results.
Expert review
Run structured evaluation with fragrance industry chemists or academic olfaction researchers once the MVP workflows are ready.
Current build
The MVP combines scientific data, model services, retrieval, and workflow visibility.
The first implementation is being built to prove whether the Nexomeric architecture can support useful olfactory chemistry workflows before expanding to adjacent scientific domains.
What comes next
One domain proves the architecture. The platform expands across science.
Once Project Zero validates the architecture, Nexomeric will expand across chemistry, materials science, biology, energy systems, climate technology, manufacturing, and other scientific domains – helping researchers accelerate R&D wherever experiments are expensive and design spaces are vast.