Agentic AI for scientific instruments & lab automation
Make your instruments easier to use and integrate. We build agent-ready interfaces, custom AI agents and executable digital twins around your domain expertise and existing software.
For instrument manufacturers and laboratory automation teams.
Clients we’ve worked with
Instrument capabilities → usable interfaces
Connect selected instrument operations to your lab software or AI agent through a defined, tested interface.
Connect · Ground · Verify
Start with the capability your product or workflow needs. We can deliver one layer or bring them together in a focused project.
01 / Connect
Bring your instruments into the workflow. We connect selected capabilities to your lab platforms and AI agents through defined, tested interfaces.
One instrument interface, adapter or integration.
02 / Ground
Make instrument expertise easier to use. Bring your procedures, domain context and scientific tools into an assistant built around the tasks your users need.
An assistant evaluated with your domain experts.
03 / Verify
Check a plan before it reaches the instrument. Model operations, resources and state to identify steps that violate the constraints your model implements.
An executable model and defined test scenarios.
Control applications, user interfaces, backend services and remote monitoring. The software that makes a capability part of a usable product.
MCP REST/OpenAPI SiLA 2 Vendor SDKs LangGraph PyLabRobot
Selected work
Completed software delivery for instrument teams. Explore the work and hear directly from the people we worked with.
Lino Biotech AG
Frontend, backend and control integration for a label-free detection instrument.
Read the case study
Ridgeview Instruments AB
A remote monitoring interface for LigandTracer sessions, with live data visualization and experiment alerts.
Read the case studyWhat impressed me the most about them is their passion to deliver good products.
Their rapid understanding of our needs, agile way of working, and communication stood out.
Explore the engineering
Our tools and demonstrations make the approach inspectable.
How the layers work together
An interface defines what an instrument can do. Specialized skills help an agent use it. An executable twin can check the proposed workflow before approval and dispatch.
Explore the agentic AI approachDefine the task and useful outcome.
Use relevant skills and supported operations.
Check modeled resources, state and constraints.
Apply the required review and authorization.
Dispatch through the agreed integration.
For action workflows. Checks cover the model’s implemented constraints. Physical execution needs an agreed integration. Knowledge assistants can be scoped without a twin.
A focused first engagement
Bring us the task, the people using the instrument and what a useful result must do.
Establish interfaces, supported behavior and acceptance. Investigate unknowns where needed.
Review working software against agreed criteria, then decide on the next milestone.
Insights
Before we start
We build instrument interfaces, custom AI agents with specialized skills, executable digital twins and scientific-instrument software. A project can deliver one capability or combine them around a defined instrument or laboratory workflow.
Yes. We start with the interfaces, data and software you already have. The first scope identifies the integration boundary and the changes needed for your target workflow.
No. We choose the interface around your instrument and the software that needs to use it. REST APIs, vendor SDKs and SiLA 2 are possible inputs. MCP is useful when an AI client needs a tool interface.
It checks proposed operations against the resources, state and constraints represented in its model. A successful simulation does not guarantee physical success. Hardware integration and validation are scoped separately.
We discuss one instrument or workflow problem, identify its owner and agree on a useful first outcome. If the scope is clear, we define the first delivery. Where technical investigation is needed, we agree that work first.
QPillars is headquartered in Zürich, Switzerland, with engineering in Chișinău, Moldova. We work with instrument manufacturers and laboratory automation teams.
Your next project
Tell us what you want to connect, simplify or automate. Let’s define the first useful step together.
