Netomi⁠⁠(opens in a new window) builds systems that meet that high bar, serving Fortune 500 customers like United Airlines and DraftKings. Their platform pairs GPT‑4.1 for low-latency, reliable tool use with GPT‑5.2 for deeper, multi-step planning, running both inside a governed execution layer designed to keep model-driven actions predictable under real production conditions.

Running agentic systems at this scale has given Netomi a blueprint for what makes these deployments work inside the enterprise.

A single enterprise request rarely maps to a single API. Real workflows span booking engines, loyalty databases, CRM systems, policy logic, payments, and knowledge sources. The data is often incomplete, conflicting, or time-sensitive. Systems that depend on brittle flows collapse under this variability.

Netomi designed its Agentic OS so OpenAI models sit at the center of a governed orchestration pipeline built for this level of ambiguity. The platform uses GPT‑4.1 for fast, reliable reasoning and tool-calling—critical for real-time workflows—and GPT‑5.2 when multi-step planning or deeper reasoning is required.