Inverse Formulation
Describe the product you need. FormulaIQ generates in-spec formulations from real materials — predicting properties before a single drop is mixed.
The intelligence layer for chemistry.
Physics-informed ML and LLMs on chemical engineering foundations — FormulaIQ invents formulations, Studio Pro designs the process, RoboBridge validates in the lab, ControlIQ commissions the controller, and Chemical Engineering Agents advise across every stage.
Book a timeLavoisier Labs builds AI for chemistry on real chemical engineering — ML and LLMs that invent formulations, design processes, validate in the lab, and control plants.
Prompt to production
Four stages. One chemical record.
From a natural-language brief to an on-spec batch — inverse formulation, process design, closed-loop lab validation, then a commissioned controller on a shared physics-informed backbone. Chemical Engineering Agents advise across all four.
Intent & inverse formulation
Parse multi-objective prompts into property vectors. Generate candidate recipes from real materials, pre-screened for REACH, TSCA, and patent freedom-to-operate.
Process pipeline & digital twin
Turn the recipe into a manufacturable flowsheet — equipment, shear, kinetics, energy balance, and scale-up physics before capital is locked.
Closed-loop lab validation
Run Hardware-in-the-Loop micro-trials, correct physics-ML residuals, and emit an error-free TDS plus Process Errata automatically.
Commissioned plant control
Build a model of the loop from the plant's own data, check that the data actually determined it, and commission the controller the process needs — classical or model predictive — into the control system you already run.
Physics-Informed Digital Twins
FormulaIQ finds what to make. Studio Pro designs how to make it. RoboBridge validates it in the lab. ControlIQ commissions the controller that holds it on spec. Chemical Engineering Agents advise across all of it — on one chemistry backbone.
FormulaIQ
Inverse formulation: target properties in, in-spec recipes from real materials — with confidence you can defend.
Studio Pro
Process digital twins with validated thermodynamics — design, simulate, and optimize before you commit capital.
RoboBridge
Closed-loop lab trials that correct model residuals and ship error-free TDS documentation.
ControlIQ
Process control commissioned from your plant's own data — a model of the loop, an explicit check that the data supports it, and the controller your process needs delivered into the system already running it.
Chemical Engineering Agents
Chemistry-aware advisory with humans in the loop — QA, deviations, and maintenance windows across every stage. A growing fleet, never the valve.
First principles. Then ML. Always uncertainty.
Every prediction is built as science baseline plus machine-learned correction, with confidence shown — so chemists and engineers can challenge the answer, not just accept it.
FormulaIQ
From target properties to working recipes — physics-informed property prediction, regulatory constraints, and confidence on every candidate.
Studio Pro
Chemical process digital twins with real thermodynamics — transparent AI and quantified risk before scale-up.
RoboBridge
Hardware-in-the-Loop validation that closes the twin–lab gap and regenerates the technical dossier automatically.
ControlIQ
Controllers commissioned from your plant's own behaviour — the process physics as the baseline, a correction fitted to your data, and an explicit check that the data was enough before anything is tuned from it.
Chemical Engineering Agents
Advise on plant decisions under chemistry, constraints, and incomplete data — answers that cite what they used, with people still in charge and a growing agent fleet ahead.
Five products. One chemical engineering stack.
One stack — formulation discovery, process design, closed-loop lab validation, commissioned process control, and a growing fleet of advisory agents, plus an API to embed the same models in your tools.
Process Design
Turn a formula into a manufacturable process with validated thermodynamics, transparent AI, and risk quantified before capital is committed.
Lab Validation
Close the twin–lab loop with robotic micro-trials, residual correction, and auto-generated TDS documentation.
Process Control
Commission a controller from your plant's own data — classical or model predictive, whichever the loop needs — running inside the control system you already have.
Plant Advisory
Chemistry-aware agents that answer across every stage — QA, deviations, maintenance windows — and a platform for many more chemical engineering AI agents ahead. People approve every act.
Chemistry Models API
Embed FormulaIQ and Studio Pro models in your LIMS, ELN, or internal tools — programmatic access to the same physics-informed predictions.
View API Docsconst client = new LavoisierClient({
key: process.env.LL_API_KEY
});
const recipe = await client.formulaIQ.inverse({
targets: { viscosity: [1200, 1500],
temp: 25 },
constraints: { reach: 'EU' }
});Frequently asked questions
- What does Lavoisier Labs build?
- Physics-informed AI for chemistry: FormulaIQ for inverse formulation, Studio Pro for process digital twins, RoboBridge for closed-loop lab validation, and Chemical Engineering Agents for plant and beyond — on one shared chemistry backbone.
- How is Lavoisier different from black-box AI?
- Predictions combine a first-principles baseline with an ML residual and quantified uncertainty, so chemists and engineers can challenge the answer instead of trusting a black box.
- Who is Lavoisier for?
- Chemical engineering R&D and operations teams in coatings, polymers, specialty chemicals, energy, and related process industries who need formulation-to-process continuity with transparent reasoning.
Product updates