Open source tools. Real problems. Verifiable results.
Adjoint builds specialist software for AI infrastructure, medical physics, industrial quality control, and education. Every product has a repo. Every claim has evidence.
Four domains, one principle: ship tools that solve real problems.
Production observability for AI agents. Logs, traces, and metrics through the LGTM stack (Loki, Grafana, Tempo, Mimir). Framework-agnostic, self-hosted, no vendor lock-in.
A composable library of LLM-native skills for agent workflows. Token-efficient, context-aware, observable. Turns Claude Code, GPT, and other agents into domain specialists.
Radiochromic film dosimetry. Multichannel calibration, dose analysis, and gamma evaluation for Gafchromic EBT film. Used in proton and photon therapy QA.
Automated tissue quantification for histology and medical image analysis. State-of-the-art AI segmentation with structured CLI output for reproducible measurements.
Monte Carlo radiation transport as a service. Built on EGSnrc, the gold-standard toolkit for radiation dosimetry simulation. Accessible via API for research and clinical use.
LLM-native PLC development toolkit for IEC 61131-3. AI-assisted Structured Text, Ladder Logic, and Function Block Diagram development with version control and CI/CD built in.
Statistical process control for manufacturing and laboratory environments. Control charts, capability analysis, and automated out-of-control detection. Quality monitoring without the enterprise price tag.
Smart building and home automation with a digital twin approach. Calendar-aware, event-driven, fully integrated with lighting, cameras, and voice control.
Extract questions from past exam papers and generate new exam-style questions using AI. Supports UK exam boards (AQA, Edexcel, OCR, WJEC) for GCSE and A-level subjects.
We lead with products, not promises. Consulting follows from demonstrated capability.
Every service we offer is backed by a working tool. If we claim expertise, there's a repo to prove it.
Our core tools are open source. You can inspect the code, run it yourself, and contribute improvements.
MPhys, MSc Medical Physics, MSc Computational Science. Not generalists playing at specialisms.
We contribute back to the tools we use. Active contributor to EGSnrc (NRC Monte Carlo toolkit) and other open source projects.
Open source products. Domain expertise. Real results.