Inworld AI
Enterprise AI infrastructure with security and compliance built in
Inworld AI provides a secure platform for building AI applications, with zero-trust controls, SSO, compliance support, and zero-data-retention options. It is aimed at teams and enterprises that need to deploy AI systems with stronger security and governance requirements.
Agenticness = how independently a tool can take action, scored across 9 dimensions. Scored independently by David Kooi, Skylark Creations — see full rubric →
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What's happened with Inworld AI lately
- Score changeRubric upgrade v3_0 → v3.1: score 8/32 → 10/368 → 10/36(+2)
Rubric upgrade: agenticness v3.0 (8 dims, /32) → v3.1 (9 dims, /36). Adds Dim 9 (Operator Sovereignty), splits Dim 6 into 6a/6b lenses, tightens Dim 4 autonomous-retry distinction. Not a product change — score shift reflects new dimension + recalibrated rubric, not a change in the tool. Fanout suppressed.
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News mentions sourced from our news feed; score changes from periodic re-evaluations.
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About
Inworld AI is an AI platform for developers and enterprise teams building voice, realtime, and agent-based applications. The security page positions it as infrastructure for teams that need to deploy AI systems with enterprise controls rather than a consumer chat product.
The strongest signals here are around security and compliance, not autonomous task execution. Inworld highlights zero-trust architecture, encryption in transit and at rest, SSO via SAML/OIDC, RBAC, continuous monitoring, audit trails, SOC 2 Type II,...
Executes tasks you assign, one step at a time, within narrow domains.
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- Usage-based: Purchase credits and pay for what you consume across models and products.
- Enterprise: Contact sales for enterprise requirements and zero-data-retention setup.
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