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Specialized Software Solutions for Life Sciences

From instrument control to cloud platforms, we deliver the critical software infrastructure that biotech and medtech companies need to innovate and scale.

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Systems Engineering

We use Rust for core systems engineering and legacy C++ migration for critical biotech components, focusing on stability and compliance.

Key Features:

  • Memory-safe Rust implementations
  • Legacy C++ to Rust migration
  • Regulatory compliance (IEC 62304, FDA)
  • Performance optimization for real-time systems

Technologies:

Rust
Tokio
Serde
C++
Boost
CMake
Ideal For

Medical device manufacturers, diagnostic companies, biotech firms with legacy instrument software

Full-Stack Development

We build secure Full-Stack Platforms using Python and React that let you monitor, control, and analyze instrument data from anywhere.

Key Features:

  • Real-time instrument dashboards
  • Remote device control & configuration
  • Data streaming & analytics pipelines
  • Multi-site instrument management

Technologies:

React
NextJS
Python
FastAPI
Ideal For

Biotech labs with distributed sites, pharmaceutical companies, CROs managing remote equipment

AI & MCP Integration

We implement Model Context Protocol (MCP) servers to connect your systems with AI models, enabling natural language interaction.

Key Features:

  • Model Context Protocol (MCP) implementation
  • AI agent workflow automation
  • Secure data access layers for LLMs
  • Custom tool development for AI assistants

Technologies:

Python
FastMCP
Ollama
Claude
OpenAI
Ideal For

Innovation labs, AI-forward biotech companies, research teams automating workflows

Our Acceleration Engine

We don't just write code manually. We use the spec-driven development approach and apply a proprietary AI-Augmented Workflow to streamline engineering. We guide the architecture, and leverage LLMs to handle the heavy lifting - ensuring speed without compromising precision.

Step 1

Specification Definition

We use LLMs to consolidate and enhance the requirements creating a spec definition document.

Step 2

Architecture Definition

We apply proven architectural patterns (folder structure, system boundaries etc) using our architectural templates.

Step 3

Test Cases Definition

Before coding, we leverage LLMs to generate rigorous test scenarios used in development and ensuring that the specifications are met.

Step 4

Planning

We leverage LLMs to break the architecture into small, implementable stories for precise incremental execution.

Step 5

Copilot-Accelerated Coding

Our engineers use advanced Copilot workflows to implement the plan, keeping the human in the loop for high-level review.

Ready to Build the Future of Life Sciences Together?

Whether you're a biotech company needing world-class software engineering or a developer ready to grow in life sciences - let's talk.