CreateOS

CreateOS

Most companies can get an AI agent working in a demo; CreateOS is built for the much harder next step — running it safely in production with governance, kill-switches and audit trails a security team will actually approve.

🔗 Visit CreateOS
📁 DevOps, Cloud & Infrastructure🗣️ English

Description

A striking number of enterprise AI agent pilots never make it to production — not because the AI doesn't work, but because nobody solved routing, governance, sandboxing and compliance logging around it. CreateOS packages all of that as infrastructure: model routing with auto-failover across OpenAI, Anthropic, Gemini and open-source models, hardware-isolated sandboxes, and a governed runtime with identity, policy, autonomy thresholds and kill-switches.

It supports cloud, VPC, and fully air-gapped on-premise deployment, offers 1,000+ integrations, full audit lineage, and is ISO 27001 and SOC 2 Type II certified with a zero data retention policy. Pricing is entirely usage-based — a flat 2.5% fee on the lowest available model rate through the AI Gateway, and per-second sandbox billing with no egress fees, no seats or monthly minimums. It cites notable customers including Google for Startups, Stripe, Supabase, AWS and TikTok, and follows a 12-week "Crawl → Walk → Run" deployment methodology with a case study of a 75-day pilot-to-production rollout.

💬 Our review

The short version: CreateOS is not for a solo developer experimenting with agents — it's for an enterprise team that already has a working pilot and is stuck on the compliance, governance and reliability gap that stops most pilots from ever shipping.

The kill-switch and autonomy-threshold framing directly addresses the actual reason enterprise AI pilots stall: it's rarely the model quality, it's that nobody can answer "what happens if this agent does something we didn't expect at 3am," and CreateOS builds an explicit answer to that into the product. Named customers like Stripe and AWS lend real credibility, as does the ISO 27001/SOC 2 pairing that enterprise procurement teams specifically look for. The usage-based pricing (2.5% gateway fee, per-second sandbox billing) is fair and transparent in principle, but without published example bills it's hard to estimate real monthly cost until you're already using it at scale.

💰 Pricing

Payant (usage)2,5% de frais gateway + facturation sandbox à la seconde

📊 Global score

45Average
🌐Availability15/100Faible

1 language · 0 platform

📄Profile75/100Bien

Profile completeness

🤖 AI-enriched data

💰 Pricing model
💳 Payant (à l'usage)

Frais plateforme 2,5% sur le tarif modèle le plus bas + facturation sandbox à la seconde, sans frais de sortie ni minimum mensuel

👥 Target audienceÉquipes plateforme/entreprise qui doivent faire passer des agents IA du pilote à la production en environnement régulé
🗣️ Languagesen
🌍 Target countriesMonde
👍

Pros

Kill-switches et seuils d'autonomie natifs

ISO 27001 + SOC 2 Type II

Déploiement air-gap possible

Clients nommés solides (Stripe, AWS, Supabase)

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Cons

Coût réel difficile à estimer sans exemples de facture publiés

Complexité probablement excessive pour une petite équipe

Méthodologie 12 semaines suppose un engagement de temps significatif

❓ Frequently asked questions

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