Lino Biotech AG
Instrument Control Software
How we provided an embedded development team to Lino Biotech AG, strengthening their instrument control software and accelerating feature releases for advanced detection instruments.
Read the case studyAbout QPillars
AI for scientific instruments, built around your expertise.
We build custom AI agents, instrument interfaces and executable digital twins that make instruments easier to use, integrate and automate.
Our expertise connects low-level instrument control with custom AI agents, assistants and executable digital twins. We bring deep, hands-on experience with liquid-handling instruments and the software behind laboratory workflows.
That includes pipetting, consumable handling, instrument teaching and calibration, state management and error recovery. We understand how a protocol becomes a sequence of physical actions, and what the control software must handle when a step cannot proceed as planned. That knowledge shapes the interfaces, AI tools and workflow models we build.
You can bring us an instrument-control problem, an integration gap or a workflow that needs AI assistance. We work with your product, engineering and scientific teams to define a useful first capability, agree how to evaluate it, and deliver software you can integrate and extend.
Client work
Built on instrument software experience.
Completed client projects demonstrate the engineering behind our approach to AI for scientific instruments.
Ridgeview Instruments AB
Remote Monitoring Platform
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.
Read the case studyExplore how we apply that foundation to agent-assisted workflows.
See the LiquidBridge demonstrationThe people behind QPillars
Direct collaboration.
Clear responsibilities.
Technical leadership, software engineering and operations, working together around your project.
Iacob Marian
Technical Lead & Co-founder
Specializes in laboratory automation, from hands-on instrument control and liquid handling to AI-driven protocol orchestration.
More about Iacob
Sevastian
Software Engineer · Agentic AI
Develops AI agents, SiLA 2 and MCP integrations, and evaluation harnesses for scientific instruments and laboratory workflows.
Vasile
Operations & Administration
Coordinates day-to-day operations and administration, supporting the team and keeping the business running.
Advisory Board
Guided by Experts
Dr. Sc. Andreea Loredana Cretu
Head, BioMed Entrepreneurship Programs
University of Zurich (UZH)
Strategic guidance on partnerships, funding strategy, and positioning within the European innovation landscape
What We Stand For
Our Values
Understand the instrument
We start with the instrument’s behavior, the people using it and the workflow the software needs to support.
Make progress reviewable
We define representative workflows and acceptance evidence. Software models support development; instrument behavior needs appropriate hardware testing.
Work with your team
We collaborate directly with your product, engineering and scientific teams, with clear responsibilities and working software to review.
Build on what works
We use the interfaces and software you already have where they fit. New components should make the product easier to integrate and extend.
Where We Work
Two Offices, One Team
Headquarters
Zurich, Switzerland
Strategy, client relationships, and product direction.
Engineering
Chisinau, Moldova
Core development, systems engineering, and AI research.
Backed By
Trusted Partners
Innosuisse
Swiss Innovation Agency - Initial Coaching
Kommerskollegium / Techstep
Swedish National Board of Trade - Nordic Accelerator
Invest Moldova
National Investment Agency - via Techstep
Before we start
A few practical questions.
Who founded QPillars?
QPillars was co-founded by Iacob Marian and Tatiana in 2024. We build software and AI capabilities for scientific instruments and laboratory workflows.
How does the team work with clients?
We work through founder-led projects with a defined engineering scope. We agree responsibilities, collaboration and delivery milestones with your team before implementation.
What tech stack does QPillars use?
Python (FastAPI, AI agents, instrument SDKs), TypeScript / React / Next.js (operator UI, dashboards), and Rust or C++ where the instrument needs it (host control, hardware abstraction). Open standards: MCP and SiLA 2 (we ship openapi-to-sila2 on PyPI under Apache 2.0). We select the implementation around the instrument, deployment environment and product requirements.
Is QPillars hiring?
Yes - we are always looking for exceptional engineers who want to build their careers in life sciences. We value systems thinking, instrument-domain curiosity, and high autonomy. Check our careers page for open positions.
What makes QPillars different from other lab software companies?
We combine hands-on expertise in low-level instrument control and liquid handling with custom AI agents, assistants and executable digital twins. That helps us connect instrument behavior, software interfaces and proposed workflows. Completed client projects with Lino Biotech and Ridgeview Instruments demonstrate our instrument-software delivery experience.
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.