Engineering-led AI solutions that learn the DNA of your factory, process, and equipment — then act on it. We combine IoT intelligence with LLM-powered reasoning to solve real industrial challenges.
Based in Edinburgh, Patternwise is an industrial IoT and AI solutions provider building AI-enabled products that solve real-world business problems. We sit at the intersection of pattern recognition, industrial data, and intelligent automation — training systems that learn the DNA of a factory, machine, or process and act on it.
We don't train LLMs. We leverage them. Combining deep engineering expertise with cutting-edge AI, we deliver specialised solutions for complex industrial challenges that traditional dashboards and alerts simply can't address.
Bridging sensor data with large language model intelligence for actionable insights
Retrieval-augmented generation over maintenance manuals, SOPs, and operational history
Proudly headquartered in Scotland's innovation capital, serving industry globally
Built by engineers who understand both the factory floor and the frontier of AI
We build systems that go beyond dashboards and alerts — AI that reasons, recommends, and acts across your industrial operations.
Combine IoT sensor data with a RAG system that pulls from maintenance manuals, historical repair logs, and OEM documentation. The LLM interprets anomalies and generates plain-English diagnostics with recommended actions — far more actionable than traditional alert dashboards.
A voice and chat assistant for operators and technicians that answers questions like "why is Line 3 underperforming?" by pulling real-time sensor data combined with RAG over SOPs, shift reports, and equipment specs. Solving the tribal knowledge problem at scale.
Monitor energy consumption across industrial assets with IoT, then use an LLM agent to cross-reference utility rate schedules, production plans, and operational constraints to recommend or autonomously execute load-shifting decisions.
Ingest IoT quality inspection data from vision systems, CMMs, and more — then RAG over supplier history, specs, and compliance docs. The system flags defects, traces root causes, and drafts supplier corrective action requests automatically.
Decades of factory expertise walks out the door with every retirement. We build systems that ingest tribal knowledge from interviews, documents, and historical logs into a RAG knowledge base, making it queryable by new employees or autonomous agents.
Add a natural language interface on top of existing digital twins. Instead of staring at dashboards, engineers ask conversational questions about asset health, run what-if scenarios, and get summarised reports — all grounded in live IoT data.
Continuously monitor IoT safety sensors — gas, temperature, pressure — and cross-reference with regulations, internal SOPs, and incident history. Automatically generate compliance reports and alert summaries when thresholds are breached.
A structured yet adaptive approach grounded in engineering rigour and deep domain understanding.
Deep-dive into your operations, data landscape, and pain points. We map every sensor, document, and process that matters.
Design the IoT + AI architecture. Select the right models, RAG strategy, and integration pattern for your environment.
Rapid prototyping with your real data. We ship working systems fast, refine with operator feedback on the ground.
Production deployment with continuous learning. Your system gets smarter with every cycle, shift, and maintenance event.
We don't build dashboards that observe. We build systems that understand — and act on what they've learned.
— The Patternwise Approach
Whether you're exploring predictive maintenance, building a factory copilot, or preserving decades of operational knowledge — we'd love to hear about your challenge.
Edinburgh, United Kingdom
hello@patternwise.ai