Why companies need one
Most companies adopted AI as separate tools: a chat assistant for everyone, a copilot inside one software suite, a pilot a vendor built for one team. Each sees one slice of the business, carries its own security and starts from zero. McKinsey's 2025 State of AI survey found that 88% of organizations use AI in at least one business function, yet nearly two-thirds had not begun scaling it across the enterprise.
An operating system gives every AI system the same connections, the same picture of the business and the same controls. The second system builds on what the first one created, and each later system starts further along.
How it differs from a copilot, a search tool or a model API
A copilot assists people inside one suite of apps. Enterprise search organizes documents so people and agents can find them. A model API gives developers access to one lab's models. An AI operating system sits underneath all three: it connects the systems where the work happens, models how the business runs, and runs agents that act on that model with approvals and an audit trail.
Security and governance live in the platform
When single sign-on, automated provisioning, scoped roles, approval gates and the audit trail belong to the platform, every new agent and app inherits them on day one. Security teams review the platform once and each new system after that is a smaller review. Deployment inside the company's own cloud account keeps data where it already lives.
Security & governance →Getting the CISO to yes →
Frontier models now, models of your own later
The best model for a task changes every few months, so the intelligence layer should route each task across every frontier lab and the best open-weight models. As the company's data, decisions and evaluations build up, the same layer trains models of the company's own for its high-volume work, with supervised fine-tuning, preference tuning, reinforcement learning and distillation, and the company keeps the weights.
Model hub →How a model learns a job →
How Fig builds one: CosmOS
CosmOS is Fig's enterprise AI platform. Nebula connects every system in place, Astral keeps a live digital twin of the business, Nova runs models, agents and harnesses grounded in that twin, and Stars delivers the apps. Fig's forward deployed engineers build it around each company, starting with one workflow in production in weeks, and it runs in the company's own cloud or Fig's.
Platform overview →Digital twin →Fig vs. Palantir →