Agents propose
Frontier reasoning and agentic loops.
Molecules, materials and processes.
Chembricks is the only quantum physics-based validation layer that grounds AI models, validating every generated idea before it reaches the lab or downstream AI reasoning.
Chembricks discovery engine
Chembricks turns agent proposals into computationally screened molecular candidates through fast prediction, applicability checks and selective reference calculations.
Frontier reasoning and agentic loops.
Molecules, materials and processes.
Surrogate models return property estimates in milliseconds.
Coverage and uncertainty travel with every result.
Covered, low-uncertainty candidates can advance.
Uncertain or high-value candidates escalate.
Leads that pass declared computational criteria.
Advance to a lab or partner for the next decision.
Customer-controlled execution · host-CPU validation · verified tooling · data remains inside the deployment boundary
Accepted reference results → versioned evaluation → explicitly promoted model update
Chembricks models
The system retrieves matching reference data, reports coverage and uncertainty, and routes hard cases to higher-fidelity computation.
Query molecule → 3D structure → hierarchical molecular fragments
Curated DFT or QMC labels for exactly those fragments
Fit a compact correction model to matching reference data
Coverage and uncertainty determine whether to answer or escalate
Return the estimate with its coverage and uncertainty.
Accepted reference results can enter a versioned, evaluated model update.
Related patent filings: US 63/831,115 and US 64/007,460.
Coverage is property-specific. Unsupported fragments are routed onward.
Abstain and route to a higher-fidelity reference calculation.
See it in action
Metal-binding ligands, molecular design, drug profiling. Each one reasoned end to end in the chat.