ExoCort deploys persistent, multi-modal AI agents that continuously perceive your code, telemetry, and cloud infrastructure logs — autonomously diagnosing incidents and generating pull requests in seconds.
Persistent AI agents that don't just alert — they diagnose, plan, and remediate across your entire cloud estate.
Vectorizes repositories, Slack history, Jira tickets, runbooks, and cloud topology into a persistent enterprise exocortex memory layer. Every agent inherits full operational context — no cold starts, no hallucinated infrastructure.
Agents proactively detect infrastructure anomalies, execute multi-step diagnostic reasoning across distributed traces, correlate log streams across microservices, and pinpoint root causes — all without a human in the loop.
Continuously audits running cloud workloads against best-practice frameworks, identifies cost anomalies, security misconfigurations, and reliability gaps, then outputs IaC remediation scripts.
Four stages of autonomous intelligence running continuously across your cloud infrastructure.
Streams real-time cloud telemetry, distributed traces, GitHub PRs, and Slack incident channels into a unified perception pipeline.
Multi-modal inference via configurable foundation model gateway, cross-referencing against the persistent vectorized exocortex memory graph.
Synthesizes DAG execution trees with dependency resolution, risk impact scoring, and rollback safety gates before any action is taken.
Executes infrastructure remediation scripts (Terraform, Pulumi, CLI), opens GitHub PRs with fixes, posts diagnostic summaries to Slack, triggers CI/CD pipelines.
ExoCort is architected from the ground up to meet the most stringent enterprise compliance requirements.
Controls tested for security, availability, and confidentiality against AICPA trust service criteria.
Each enterprise deployment runs in an isolated cloud environment with dedicated network boundaries and identity controls.
No customer data is persisted by LLM inference providers. All prompts are ephemeral and scrubbed post-inference.
All data encrypted at rest with AES-256 via managed key services and transmitted exclusively over TLS 1.3.
Building the cognitive infrastructure layer for the next generation of cloud engineering.
Join our private beta and empower your cloud engineering team with autonomous AI agents.
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