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Cosmos coordinates AI agents across triage, authoring, review, and verification stages of the SDLC. The platform demonstrates 4x faster ship cycles, 70%+ early resolution of pages before on-call engineers join, and 30% reduction in engineering hours, enabling teams to merge more PRs with shorter median merge times.
The Context Engine maps codebases by structure rather than keyword search, pulling only the relevant code slice for each task. Benchmarks show 50% cost reduction per run ($920.70 saved) compared to Claude Opus while maintaining or improving pass rates, by reducing redundant token consumption across cache reads, writes, and input/output.
Cosmos provides SOC 2 Type II, ISO/IEC 42001, HIPAA BAA compliance, CMEK encryption, SAML/OIDC/SCIM SSO, granular RBAC, audit logs with SIEM integration, and on-premises deployment options. Smart escalation ensures humans approve actions that matter, with zero data retention and no AI training on customer code.
Cosmos provides an Expert Registry where teams can discover, share, and fork reusable agent templates. This solves the fragmentation problem where each engineer builds isolated workflows, and enables knowledge sharing beyond markdown files in Slack by centralizing expert configurations with shared memory and context across agents and teams.
Cosmos agents automatically remediate 60%+ of CVEs and handle triage, authoring, and verification of security patches. The platform integrates with CI/CD and GitHub, enabling automated detection and fix deployment while maintaining human oversight through the review stage.