FormulaIQ
Inverse formulation
From NLP property briefs to recipes constrained by your inventory — with confidence and cost estimates.
- Property NLP to targets
- Inventory-aware component generation
- Custom models on your data
- Batch cost estimates
Platform
One platform, from molecule to plant.
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 every stage — on a shared CAS-keyed chemical backbone.
From discovery to the plant floor.
One chemistry stack — prompt to plant, without tool hops.
Discover
FormulaIQ
Inverse formulation from target properties to in-spec recipes.
Design
Studio Pro
Process digital twins with validated thermodynamics.
Validate
RoboBridge
Closed-loop lab trials, residual correction, error-free TDS.
Control
ControlIQ
Controllers commissioned from your plant's own data.
Advise
Chemical Engineering Agents
Chemistry-aware answers across every stage — with people in charge.
The platform stack.
From natural-language property briefs to component generation, custom models on your data, full-metric process simulation, digital twin profiles, and process control commissioned from the plant’s own data — layered and inspectable, across industries. Chemical Engineering Agents advise across every layer; a person approves anything that acts.
Across industries
- Coatings
- Polymers
- Specialty chemicals
- Energy & batteries
- Adhesives
- Formulations
Simulate → commission
The twin sizes the commissioning and rehearses it — full metrics in the simulator, digital twin profiles for handover. The plant’s own data sets the controller that ships. Agents read both.
- L5
Process control
Build a model of the loop from the plant’s own data, check that the data determined it, and commission the controller the process needs — classical or model predictive — into the control system already running it. Rehearse the commissioning against the twin at L4; the real plant sets the final result.
- L4
Process simulator & digital twin profiles
Build a full simulator with thermodynamics, kinetics, and live metrics. Run simulation experiments and extract digital twin profiles ready for scale-up and operations.
- L3
Formulation, properties & component generation
Inverse design from formula property targets — generate real components and in-spec recipes, not black-box suggestions.
- L2
Property NLP & prediction
Describe the product in natural language. NLP turns intent into property windows; physics-informed models predict with confidence intervals.
- L1
Data sources, models & workflow
Connect experimental and plant data sources, create or refine models on your chemistry, and orchestrate discovery → design → control in one workflow.
Same record · prompt → plant
Watch the twin travel.
A living chemical record moves through the stack — NLP brief, formula, simulated twin, lab-validated dossier, then a commissioned controller and the agents that review it — without losing CAS identity or uncertainty.
No translation layer. Uncertainty rides with the packet.
Chemical record
1 / 5
CAS 108-95-2viscosity94% conf
intent
Property brief
Natural language becomes a property window and market constraints.
Data sources & stock
Your inventory. Your recipes.
Connect your own inventory and material data sources. FormulaIQ designs formulations from what you already have on hand — then estimates cost so production stays grounded in real stock and real prices.
Optional — pilots work without inventory; connect when you want stock-aware design.
Inventory → FormulaIQ
step 1/4
Products
Explore each surface of the platform.
- Studio Pro
Process digital twins
Design and optimize processes with validated thermodynamics before capital is committed.
- Real thermo packages
- Full-metric process simulator
- Simulation experiments
- Digital twin profile extraction
- RoboBridge
Closed-loop lab validation
Hardware-in-the-Loop trials that correct physics-ML residuals and auto-generate error-free TDS documentation.
- Robotic micro-trials via API
- Residual auto-correction
- Validated reactor parameters
- TDS + Process Errata PDF
- ControlIQ
Commissioned process control
Build a model of your loop from its own data, verify the data actually determined it, and commission the controller the process needs into the system already running it.
- Loop models from your plant’s own data
- An explicit verdict on whether the data was enough
- Classical and model predictive from one model
- Commissioning quoted from your loop’s own dynamics
- Chemical Engineering Agents
Chemistry-aware advisory — and a growing agent fleet
Hand a validated process dossier to agents that answer across it — QA review, deviation analysis, maintenance windows — with people approving every act, and more agent roles on the same backbone ahead.
- Plant advisory agents today
- Chemistry-aware answers with citations
- Human-in-the-loop
- More agents coming
Questions
- What is the Lavoisier platform?
- One chemistry stack connecting FormulaIQ (inverse formulation), Studio Pro (process digital twins), RoboBridge (closed-loop lab validation), and Chemical Engineering Agents — sharing a CAS-keyed data backbone so discovery flows into design, validation, and operations without translation.
- How is this different from black-box AI?
- Every prediction shows science baseline, data-driven correction, and quantified uncertainty. Chemists and engineers can challenge the answer — not just accept it.
- Do you use customer formulation data to train shared models?
- Customer formulation data is never used to train shared models without a written agreement. See our Security page for data handling details.
Bring a formulation or a process you care about.
We'll show you what the platform does with it — a 30-minute technical walkthrough on your chemistry, not a slide deck.