{"schema_version":"onlylabs.public_signal.v1","title":"OpenAI Writing: Netomi’s lessons for scaling agentic systems into the enterprise","description":"OpenAI writing signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/cb5a6eb3-246f-48fc-b583-862b4c72ec4e","json_url":"https://onlylabs.fyi/signals/cb5a6eb3-246f-48fc-b583-862b4c72ec4e/signal.json","generated_at":"2026-06-08T15:45:25.542+00:00","org":{"slug":"openai","name":"OpenAI","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/openai","dossier_json_url":"https://onlylabs.fyi/labs/openai/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/cb5a6eb3-246f-48fc-b583-862b4c72ec4e","signal_json":"https://onlylabs.fyi/signals/cb5a6eb3-246f-48fc-b583-862b4c72ec4e/signal.json","source":"https://openai.com/index/netomi","lab_dossier":"https://onlylabs.fyi/labs/openai","lab_dossier_json":"https://onlylabs.fyi/labs/openai/dossier.json","analysis":"https://onlylabs.fyi/analysis/openai","analysis_json":"https://onlylabs.fyi/analysis/openai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/openai/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml","data_business":{"radar":"https://onlylabs.fyi/data-radar","radar_json":"https://onlylabs.fyi/data-radar.json","opportunities":"https://onlylabs.fyi/opportunities","opportunities_json":"https://onlylabs.fyi/opportunities.json","lanes":[{"key":"infrastructure","label":"Infrastructure","url":"https://onlylabs.fyi/data-radar/infrastructure","json_url":"https://onlylabs.fyi/data-radar/infrastructure/signals.json"},{"key":"product","label":"Product and customer","url":"https://onlylabs.fyi/data-radar/product","json_url":"https://onlylabs.fyi/data-radar/product/signals.json"}]}},"answer_pack":{"answer":"OpenAI published Netomi’s lessons for scaling agentic systems into the enterprise. 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Company size: Startup Region: North America Industry: Technology Products: API Loading… Share Enterprises expect AI agents to handle messy workflows reliably, honor policies by default, operate under heavy load, and show their work. Netomi⁠⁠ 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. > “Our goal was to orchestrate the many systems a human agent would normally juggle and do it safely at machine speed.” Puneet Mehta, CEO Lesson 1: Build for real-world complexity, not..."},"evidence_pages":[{"url":"https://openai.com/index/netomi","final_url":"https://openai.com/index/netomi","title":"Netomi’s lessons for scaling agentic systems into the enterprise","http_status":200,"content_type":null,"capture_method":"exa","fetched_at":"2026-06-08T15:45:25.542+00:00","bytes":null,"raw_path":null,"content_hash":null,"excerpt_chars":1200,"truncated":true,"excerpt":"Netomi’s lessons for scaling agentic systems into the enterprise | OpenAI January 8, 2026 Netomi’s lessons for scaling agentic systems into the enterprise Built with OpenAI GPT‑4.1 and GPT‑5.2, Netomi provides a blueprint for scaling safe, predictable agentic systems across the enterprise. Company size: Startup Region: North America Industry: Technology Products: API Loading… Share Enterprises expect AI agents to handle messy workflows reliably, honor policies by default, operate under heavy load, and show their work. Netomi⁠⁠ 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. 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