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For industries where a wrong answer isn't an option, AI needs an expert harness. Manufacturing, life sciences, energy and telecom teams run Iris.ai on their own complex technical documentation and systems. This is the discipline of AI Harnessing: controlling what an AI system is given and verifying what it produces. It spans data, context, orchestration and evaluation, so expert knowledge yields deterministic, auditable answers instead of plausible guesses. Iris.ai is a Norwegian AI company, founded in Oslo in 2015 as the country's first AI startup. The second person we hired was a researcher, and we have run a research team for 11 years since. That research became our key: → Axion™ enables the harness. It reads the documents no system can read: schematics, tables, scans, 68 languages, and structures them once for every agent that follows. → Neuralith™ applies the harness. Multi-agent workflows on the models you choose, in your cloud or on premise. The same question over the same source returns the same answer. → LLM Evaluation closes the harness. 23+ mechanistic metrics read the model's internals during inference. Not LLM-as-a-judge. In production today: 97% accuracy where the hyperscaler baseline scored 82%. Every pilot to date has converted to production. Backed by the European Innovation Council, scaling with AWS. Bring us your hardest material: www.iris.ai

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At Croydon Health Services/ Croydon University Hospital not Wirral nhs trust