Planning requires repeated translation.
The scientist describes a goal, while software expects individual steps and parameters. Specialized skills can help prepare a structured proposal.
Agentic AI / Laboratory workflows
From a laboratory task to a workflow you can inspect.
We build agent-assisted lab automation around defined instrument operations and your scientific workflow. Users can prepare a plan, inspect modeled checks and approve supported execution through an agreed integration.
verify / Conceptual model
The customer problem
Where the next capability gets blocked.
A plan crosses several boundaries.
Instrument capabilities, lab resources and workflow rules may live in different systems. They need explicit interfaces and responsibilities.
Execution needs clear outcomes.
After approval, the system must distinguish completion, failure and an unknown result so the operator can decide what happens next.
What we build
A useful scope.
A reviewable result.
Begin with a bounded workflow and the instruments it uses. Define useful assistance, the checks you need and the point where execution becomes an operator decision.
- 01
Workflow preparation with selected skills
Translate a supported task into structured operations and parameters. Ask for missing information and make the proposed plan available for review.
- 02
Modeled validation where useful
Check implemented resource, state and sequence constraints through an executable model. Report findings alongside the model’s coverage.
- 03
Approval and dispatch integration
Connect the approved plan to the appropriate control layer. Agree permissions, state-change handling and the responsibilities of the operator and application.
- 04
Repeatable evaluation scenarios
Test representative tasks, invalid plans and selected failure paths. Separate software demonstration evidence from physical instrument acceptance.
Relevant engineering
See a liquid-handling example of agent-assisted planning and modeled workflow checks.
Before we start
A few practical questions.
Can we use our existing automation platform?
We assess the platform’s interfaces and supported operations. The agent can prepare or submit workflows through that platform where the required integration is feasible.
Can we begin with simulation only?
Yes. A first milestone can focus on planning, modeled constraints and the user review experience, with hardware integration scoped later.
Can an operator change the proposed plan?
The review experience can support corrections and revalidation. We define what must be checked again before a changed plan can be approved and dispatched.
Your next project
What’s next for your instrument?
Tell us what you want to connect, simplify or automate. Let’s define the first useful step together.