Lavoisier Labs

Chemical Engineering Agents

Agents that keep chemistry decisions on-spec.

Start with plant operations agents that reason about constraints and risk in real time. The same surface grows into a fleet of chemical engineering AI agents — more roles, same backbone.

Operations under uncertainty

Plants drift. Generic copilots do not know chemistry.

Grade transitions, incomplete tags, and shifting constraints push units off-spec. Tools that only correlate historian data miss the chemistry that actually governs the plant — and leave operators without accountable advice.

What you do

Advise with chemistry. Humans stay in charge.

Agents surface options with confidence and constraint checks. Safety-critical setpoints still need expert sign-off — autonomy without accountability is not the product.

  1. Inherit design intent

    Agents build on the same twin and material identity used in FormulaIQ and Studio Pro — not a blank slate of tags.

  2. Reason under constraints

    Recommendations weigh chemistry, operating limits, and incomplete data — with uncertainty in view.

  3. Propose, explain, wait

    Operators and engineers see auditable options. Critical acts require human approval by design.

  4. Grow the fleet over time

    Today’s plant agents are the first roles. More chemical engineering agents land on the same platform as needs expand.

Agent fleet

expanding

Plant ops

Live

Grade transition

Live

Formulation

Soon

Regulation

Soon

Simulation

Soon

Scale-up

Soon

Plant advisory

  • Constraint check · OK
  • Off-spec risk · 4.2%
  • Awaiting operator sign-off

Capabilities

Plant-ready today. Platform for what comes next.

  • Chemistry-aware assistance

    Grounded in the same physics-informed stack as the rest of Lavoisier — not tag correlation alone.

  • Human-in-the-loop by design

    Agents do not silently rewrite the plant. Sign-off stays with the people who own the risk.

  • Batch and continuous

    Grade transitions, off-spec recovery, and operator advisory across line types.

  • Auditable reasoning

    Options come with explanations operators and auditors can follow — not opaque policy dumps.

Why teams feel the gain

On-spec under pressure — without handing over the plant.

  • Stay on-spec

    Faster recovery

    Chemistry-aware options shorten the path back when a unit drifts or a grade changes.

  • Accountable AI

    HITL always

    Critical decisions stay with experts — agents advise; people authorize.

  • One backbone

    More agents ahead

    Invest once in the platform; new agent roles reuse the same chemistry identity and twin.

Who it is for

Operations that cannot afford opaque automation.

  • Plant & operations leaders

    Teams responsible for on-spec production under real uncertainty.

  • Process engineers

    Engineers who need advisory that respects design intent from the twin.

  • R&D ↔ ops handoff

    Organizations closing the gap between what was designed and what the plant actually runs.

The growing fleet

Not one agent — a chemical engineering agent platform.

Process and plant control agents ship first. Over time we design many more specialized AI agents for chemical engineering — formulation, regulation, simulation, scale-up, and predictive maintenance lab agents — on one shared product platform, each with human-in-the-loop rules.

Available now

  • Plant operations agents

    Now

    Keep continuous and batch lines on-spec with chemistry-aware advisory.

  • Grade transition support

    Now

    Options and constraint checks when products change on the line.

Coming on the same backbone

  • Formulation advisor agent

    Soon

    Assist formulators with constrained shortlists inside day-to-day workflows.

  • Regulation & compliance agent

    Soon

    Cited market and policy checks before recommendations land.

  • Simulation experiment agent

    Soon

    Propose and compare twin scenarios so engineers spend time on decisions, not setup.

  • Scale-up & transfer agent

    Soon

    Carry design intent across lab → pilot → plant with accountable checkpoints.

  • Predictive maintenance lab agents

    Soon

    Chemistry-aware degradation risk for lab and plant assets — with maintenance windows that fit the campaign calendar.

New agents share the same chemistry identity and twin — no parallel stack for every use case.

Frequently asked questions

What are Chemical Engineering Agents?
An agent platform for chemical engineering — starting with plant operations agents that keep lines on-spec, and expanding into many more specialized AI agents on the same chemistry backbone.
Do agents change setpoints on their own?
No. Safety-critical setpoints and grade changes require expert sign-off. Agents propose and explain; people authorize.
Will there be more agents beyond plant control?
Yes. Process and plant agents ship first. Over time we design many more chemical engineering AI agents — formulation advisory, regulation checks, simulation experiments, scale-up transfer, and more — all on the same shared backbone.
How is this different from a generic plant copilot?
Recommendations inherit chemistry and twin context from FormulaIQ and Studio Pro — not historian correlations alone — with uncertainty and constraints visible to operators.