Ground AI-generated chemistry in quantum physics.

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.

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Faster discovery
Better optimization
Broader coverage

Chembricks discovery engine

Generation is abundant. Verified candidates are scarce.

Chembricks turns agent proposals into computationally screened molecular candidates through fast prediction, applicability checks and selective reference calculations.

01

Agents propose

Frontier reasoning and agentic loops.

Molecules, materials and processes.

02

Fast property prediction

Surrogate models return property estimates in milliseconds.

Coverage and uncertainty travel with every result.

03

Applicability gate

Covered, low-uncertainty candidates can advance.

Uncertain or high-value candidates escalate.

04

Screened candidates

Leads that pass declared computational criteria.

Advance to a lab or partner for the next decision.

Customer compute substrate

Customer-controlled execution · host-CPU validation · verified tooling · data remains inside the deployment boundary

Controlled learning loop

Accepted reference results → versioned evaluation → explicitly promoted model update

See it in action

Watch Chembricks work real problems

Metal-binding ligands, molecular design, drug profiling. Each one reasoned end to end in the chat.

Finding a ligand that grabs copper, not iron
Designing the most water-soluble molecule for a target property
Profiling a molecule for properties, drug-likeness, and safety
Computing IR and 13C NMR spectra