AI-Ready Instrument Software

AI-ready instrument software, designed and built with you

Forward-deployed instrument engineering. We ship host control, operator UI, and the agent surface (MCP, SiLA 2) as one engagement - on your instrument, in the languages your firmware runs, code you own from day one. Lab orchestrators and AI copilots only work when the instrument speaks fluently. We build that layer.

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Five Software Engagements for Lab and Instrument Teams

Each is a productized engagement shape with a fixed first scope. Pick the one that maps to your need - or talk to us about combining them.

Instrument Control Software

Custom instrument-control software for biotech, diagnostic, and life-science hardware. Real-time control, modern UI, AI-ready architecture.

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Lab Automation Software

Custom orchestrators built around your existing instruments. AI-native by default, integrated with SiLA 2 and your existing stack.

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Cloud Platforms & Remote Monitoring

Vendor-agnostic cloud platforms for laboratory instruments. Multi-vendor, customer-owned data, GxP-aware.

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Lab & Instrument Software Modernization

Migrate legacy desktop instrument software to modern web stacks. Phased, validation-safe, AI-ready.

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Lab Systems Integration

SiLA 2, LIMS, ELN, and MCP integration for laboratory instruments. Open-source contributors to the SiLA ecosystem.

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Adjacent

Agentic AI for Instruments

MCP servers + custom AI agents for instrument workflows. The flagship engagement on top of the software stack above.

See agentic AI →

What We Build

The software that makes instruments work - from bare metal to cloud.

Instrument Control Software

Soft real-time host control for diagnostic and life-science instruments. Rust or C++ where the instrument needs it, Python and TypeScript for everything else. We write host-side software and integrate with the firmware your hardware team owns.

Real-Time Data Pipelines

High-throughput data acquisition, processing, and routing. We design pipelines that handle sensor data at microsecond resolution - from instrument to cloud, with zero data loss.

Regulatory-Grade Code

We write software that passes IVD audits. Full traceability, unit test coverage, static analysis, and documentation to ISO 13485, 21 CFR Part 11, and IEC 62304 standards.

Containerized Deployments

Modern instrument software needs modern DevOps. We containerize instrument runtimes with Podman/Docker, orchestrate with RabbitMQ, and deploy reproducible builds to embedded targets.

Our Process

Structured delivery from architecture to validation.

Architecture Review

We audit your existing instrument software stack, identify bottlenecks, and map the path forward. Whether it is a legacy monolith or a greenfield build, we start with the architecture.

System Design

We design the component architecture, data flows, communication protocols, and safety boundaries. Every decision is documented and reviewable before a single line of code is written.

Implementation & Testing

Incremental delivery with CI/CD from day one. Every commit is tested, statically analyzed, and reviewed. We ship production-grade code - not prototypes that need rewriting.

Validation & Deployment

Full regulatory documentation, traceability matrices, and deployment automation. We hand over a system that is audit-ready and maintainable by your team.

Technical Stack

Primary LanguagesPython, TypeScript, Rust, C++

FrameworksFastAPI, Next.js / React, Tauri

Agent LayerMCP, SiLA 2

CommunicationREST, gRPC, MQTT, USB / RS-232 / CAN / GPIB

Build Systemsuv, npm, CMake, Conan

ContainerizationPodman, Docker, OCI

CI/CDGitHub Actions, GitLab CI

Regulated-Grade ArchitectureIEC 62304-aware, 21 CFR Part 11-aware, IVDR-aware

Built on shipped instrument software

Forward-deployed engineering, the Palantir / dbt model applied to instrument software. Senior engineers on every engagement - the people writing your code are the people you talk to. We have shipped on a clinical-grade IVD platform with zero patient-impacting defects, contributed to the SiLA 2 ecosystem (openapi-to-sila2 on PyPI, Apache 2.0), and run a working AI-agent prototype (LiquidBridge) we demo live in the first call.

delivered references with named testimonials

18+

months embedded with clients

Apache 2.0

open-source contribution on PyPI

patient-impacting defects on shipped IVD work

Frequently Asked Questions

AI-ready means the instrument exposes a structured agent surface from day one - an MCP server or a SiLA 2 driver - alongside the operator UI and host control. Lab orchestrators, AI copilots, and cloud platforms only work when the instrument speaks fluently. We build that layer as a structural property of the engineering, not a retrofit.

Default stack: Python (FastAPI, instrument SDKs, AI agents), TypeScript / React / Next.js (operator UI, dashboards), and Rust or C++ where the instrument needs it (host control, hardware abstraction). For new IEC 62304 Class C programs, we have shipped greenfield Rust communication libraries (Ferrocene's Class C qualification, Jan 2025, makes Rust legally usable in regulated medical software). Firmware (microcontroller, FPGA, RTOS-class device) stays with your hardware team; we write host-side software and integrate with your firmware boundary.

Architecturally yes. We have shipped instrument control software on a clinical-grade IVD platform with zero patient-impacting defects. Audit trails, role-based access, time-correlated logging, immutable history, validation impact assessments. Validation evidence is your QMS work; we ship the architecture, documentation, and test artifacts your QMS expects. QMS audits and regulatory consulting sit outside our scope - we partner with QMS specialists when those are part of a customer's roadmap.

Yes. We specialize in modernizing the host-side / operator-UI layer of legacy instrument software - phasing in modern stacks while preserving validation evidence and operator workflows. See [Lab Software Modernization](/lab-software-modernization) for the methodology.

Orchestration platforms only work when each instrument exposes a usable interface. We build that interface - on the instrument, in the languages the firmware already runs, against the standards platforms consume. You can plug our work into any orchestrator, or let agents talk to the instrument directly. Source code yours from day one. Pricing scales by scope, not by your fleet.

Talk to the engineers who will ship your instrument software

30 minutes, founder on the call. We map your stack, the gaps, and the smallest engagement that delivers real value.

Book a Technical Call

AI-ready instrument software, designed and built with you

Built on shipped instrument software

delivered references with named testimonials

18+

months embedded with clients

Apache 2.0

open-source contribution on PyPI

patient-impacting defects on shipped IVD work