Five capabilities, one platform. A team workspace where your engineers, finance, and ops solve real problems — with first-principles math doing the heavy lifting and the LLM of your choice on top.
Generic AI chatbots hallucinate numbers because they predict text. Kenop calculates from first principles — then asks the model to reason on top of an exact answer.
The kind of structured root cause analysis that used to require a specialist consultant on-site for 3-5 days — available in under 15 minutes. Submit your problem, attach your data, and receive a report benchmarked against industry standards.
A 12-stage pipeline applies first-principles reasoning, causal chain analysis, protocol benchmarking, and adversarial review. The QA stage checks every recommendation against a numeric target before delivery.
Switch between Claude Opus, GPT-4o, Grok, and Perplexity mid-conversation — without losing context. Each model receives the full thread history and picks up where the previous one left off.
Use the analytical strength of one model to inform the reasoning of another — in a single coherent conversation about your data.
A shared workspace inside the Kenop app. Add your engineers, finance, plant operators. Everyone queries the same data, sees the same threads, builds on the same findings.
Kenop is one of the members. When a teammate flags a problem in the workspace, it applies global compute automatically — without waiting for a separate investigation request.
Choose your primary model. Kenop intelligently routes each stage of your investigation to the model best suited to that specific task — regardless of your primary selection. Or override per stage if you have a preference.
When your private fine-tuned model is available, it participates in the pipeline for pattern-recognition tasks — while cloud models handle the broad reasoning. The compute is additive.
Every investigation your team runs becomes part of an indexed organisational memory. When a new problem arises, Kenop searches your history first — finding prior root cause analyses, resolved anomalies, and successful interventions before running the full pipeline.
Your second colour-deviation investigation is faster and more accurate than the first — because Kenop already knows what worked, what parameters were involved, and what the engineer's corrective action achieved.
Five capabilities. One platform. Built for industrial operations that have outgrown generic AI tools.