Case Studies

Real Results for Real Labs

We embed with our clients and ship software that runs on real instruments. Here is what that looks like.

Lino Biotech AG

How we provided an embedded development team to Lino Biotech AG, strengthening their instrument control software and accelerating feature releases for advanced detection instruments.

“What impressed me the most about them is their passion to deliver good products.”- Dr. Andreas Frutiger, VP of R&D, Lino Biotech AG

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AI for Laboratory Instruments

QPillars (Product Demo)

How we solved the engineering challenge of connecting AI agents to laboratory instruments safely - building a natural language control layer for liquid handling robots using MCP, CrewAI, and a planner-executor architecture.

“We built LiquidBridge to prove that agentic AI can control lab instruments safely through an open standard. Every client conversation since has started with this demo.”- Iacob Marian, Technical Lead & Co-founder, QPillars

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Remote Monitoring Platform

Ridgeview Instruments AB

How we developed a cloud-connected remote monitoring platform for Ridgeview Instruments, enabling researchers to track LigandTracer experiments remotely with real-time data visualization and intelligent alert systems.

“Their rapid understanding of our needs, agile way of working, and communication stood out.”- Jos Buijs, CEO, Ridgeview Instruments AB

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Frequently Asked Questions

Every engagement starts with a 30-minute technical call with the founder. We look at your instrument, your SDK, and your AI roadmap, then agree on the scope and price of the first phase before any contract. We do not send templated proposals.

Productized engagements run 4-12 weeks against fixed scope (MCP server builds, AI-readiness assessments, specific instrument-software deliveries). Embedded programs (legacy modernization, v2 greenfield, multi-instrument cloud platforms) run 3-6 months and extend month by month.

We work with biotech, medtech, diagnostics (IVD), and pharmaceutical companies - any organization that operates scientific instruments and wants to modernize their software infrastructure.

Yes. We integrate with existing LIMS, ELN, and vendor software. Our MCP-based architecture is designed to layer on top of what you already have - not replace it.

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