QPillars

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Overview

$10,000+

Min Project Size

$50 - $99/hr

Avg Hourly Rate

2 - 9

Employees

2024

Year Founded

ABOUT QPILLARS

Custom Software Development

QPillars creates AI agents that allow scientists to operate laboratory instruments using natural language, ensuring human oversight at all times. We are developing MCP (Model Context Protocol) servers for scientific equipment, which facilitate standardized AI connectivity with any laboratory hardware. Our team, composed entirely of National Olympiad medalists in Informatics, Mathematics, or Physics, functions as an integrated engineering unit within biotech and medtech firms. We provide software for instrument control, real-time data platforms, and agent-based AI that simplifies intricate lab procedures into straightforward conversations. Our accomplishments include over 18 months of collaboration with Lino Biotech AG (instrument control), delivering remote monitoring solutions for Ridgeview Instruments AB (LigandTracer), and creating LiquidBridge - an AI solution that enables control of liquid handlers via chat.

Tech Stack

PythonRustTypescript

Languages Spoken

EnglishGerman

HIGHLIGHTS

$10,000+

Min Project Size

$50 - $99/hr

Avg Hourly Rate

2 - 9

Employees

2024

Year Founded

Services

Focus

Industries

Clients

Services Provided

30% Custom Web Application Development

20% API Development & Integration

33% LLM Integration & Prompt Engineering

17% AI Agent & Multi-Agent System Development

About the Team

OUR STORY

Our Journey At QPillars, we create tailored software solutions for the life sciences sector, empowering biotech and medtech teams to accelerate their progress with software that is dependable, contemporary, and intuitive. What sets us apart: Each developer is an esteemed former medalist of the National Olympiad in Informatics. Our expertise is deeply rooted in scientific software, particularly within the life sciences field. We function as an integrated development team, seamlessly embedding ourselves into our clients' workflows.

Portfolio

AI Agent for Liquid Handling Instrument

Unknown

Liquid handling robots play a crucial role in life sciences laboratories, but their control software lags behind the advancements in modern AI. Scientists often spend countless hours programming pipetting sequences manually through inflexible interfaces specific to vendors, even for standard experiments. Additionally, non-technical lab personnel require extensive training to operate these instruments. Currently, there is no standardized method for integrating AI with physical devices while meeting the safety requirements demanded in regulated environments, such as schema validation, human oversight, and comprehensive audit trails. To address this issue, we developed an AI platform that operates on liquid handling instruments, allowing for natural language control instead of manual programming. Scientists can describe their experiments in simple English, and the AI agent takes care of planning the workflow, validating each parameter against hardware limitations, presenting the plan for human approval, and executing it on the robot. The system features a three-service architecture, which includes a React frontend for real-time 3D deck visualization, a FastAPI backend for managing instrument states and tracking labware, and a CrewAI agent server connected through the Model Context Protocol (MCP), an open standard for communication between AI and tools. A planner-executor pattern ensures that the AI only sends validated commands to the hardware, and every action is logged for complete traceability.

Custom software development for Instrument Control

Lino Biotech AG

We supplied an embedded development team to Lino Biotech AG, enhancing their instrument control software and speeding up feature releases for their advanced detection instruments. **Challenge:** Lino Biotech AG's current instrument control application was not flexible enough to keep up with the rapid progress in their label-free detection technology. They required engineering assistance for both frontend feature development and backend API upgrades, which needed to be closely aligned with their instrument control layer. **Our Solution:** We deployed an embedded software development team that integrated smoothly into Lino Biotech’s existing workflow. Our engineers concentrated on expanding the instrument control application, adding new functionalities to both the frontend and backend, and strengthening the control layer to align with the company's innovative pace. **Results:** **Testimonial:** “QPillars fit seamlessly into our workflow and promptly delivered high-quality results on schedule. What impressed me the most is their commitment to producing exceptional products.” - Dr. Andreas Frutiger, VP of R&D, Lino Biotech AG

Real-Time Lab Instrument Monitoring System

Ridgeview Instruments AB

We created a cloud-based remote monitoring platform for Ridgeview Instruments that allows researchers to remotely monitor LigandTracer experiments, providing real-time data visualization and smart alert systems. The Challenge was that Ridgeview Instruments, the makers of LigandTracer, sought to enhance their instrument control software with contemporary remote monitoring features. Researchers needed a way to observe critical experiments from outside the lab, reduce manual interactions, and receive prompt alerts for any experimental errors via an easy-to-use, cloud-based dashboard. Our Solution involved a thorough development of a remote monitoring system in partnership with Ridgeview's R&D team. We designed and built a cloud-connected dashboard featuring real-time experiment visualization, reproducing LigandTracer's unique curve-based data display for a smooth user experience. We also implemented sophisticated plotting systems, including zoom capabilities and data reduction algorithms, integrated secure access controls and smart notification systems for experiment tracking, and established a scalable backend architecture for data management, session handling, and multi-instrument connectivity. Results: A testimonial from Dr. Jos Buijs, CEO of Ridgeview Instruments AB, praised our quick grasp of their requirements, agile approach, and effective communication.

Projects & Clients

Project Size & Rate

Minimum Project Size

$10,000+

Average Hourly Rate

$50 - $99/hr

Pricing Snapshot

Min Project Size

$10,000+

Avg Hourly Rate

$50 - $99/hr

Cost Rating

N/A

What Clients Have Said

"QPillars delivers quality projects within budget and timeline expectations based on verified client feedback."

Based on verified reviews and internal benchmark data

PROJECT BUDGETS

No budget data yet. Reviewers either haven't shared a project budget or kept theirs confidential.

Select a service

Custom Web Application Development

API Development & Integration

LLM Integration & Prompt Engineering

AI Agent & Multi-Agent System Development

Industry Recognitions

Clutch Awards

View source

Locations

Headquarters

Im Bruggen 24

Bonstetten, Switzerland 8906

Headquarters

Piața Unirii 13 300085

Headquarters

83 Stradela Lvov 2 2060

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