Model OS (Intelligence Cubed)

Intelligence Cubed is building intelligence infrastructure that helps companies move from prompt-wrapper AI products to owned, fine-tuned model systems. Most enterprise AI products today rely on generic foundation model APIs and prompt engineering, which makes it difficult for companies to own their model behavior, preserve domain expertise, reduce inference cost, or continuously improve from real user interactions. Intelligence Cubed solves this by turning product usage data into proprietary training assets and enabling companies to fine-tune, evaluate, deploy, and improve their own models over time. Our platform helps teams collect, clean, label, approve, version, and evaluate high-quality training data from conversations, workflows, expert edits, user feedback, and business outcomes. Companies can then fine-tune owned models from approved behavior data, compare model versions, measure quality, latency, cost, and brand consistency, and deploy the best-performing models into production. Beyond fine-tuning, Intelligence Cubed provides the evaluation, routing, deployment, and feedback-loop infrastructure needed to operate models continuously. We believe the future of enterprise AI will not be defined by static prompts or isolated APIs, but by companies that build compounding model advantages through proprietary data, fine-tuned behavior, and continuous improvement.