MiraStack delivers an on‑premises AI observability and automation platform that embeds AI and security sidecars into every stage of the DevOps lifecycle, enabling continuous, explainable intelligence without reliance on cloud APIs.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises operating in regulated, air‑gapped, or data‑sovereignty‑critical environments cannot rely on cloud‑based AI services, making it difficult to incorporate AI‑driven automation and observability into their DevOps pipelines while meeting strict explainability and governance requirements.
Solution
MiraStack provides an on‑premises AI observability and automation platform that embeds AI and security sidecars into every stage of the DevOps Infinity Loop (Plan, Code, Build, Test, Release, Deploy, Operate, Observe). The platform runs entirely on the customer’s infrastructure, using locally hosted AI models accessed through pluggable providers, so no external cloud APIs are required. Its engine interprets natural‑language intents, orchestrates tool‑specific agents, and enforces human‑approved approvals for any modifying actions, delivering explainable outcomes and root‑cause analysis. Correlated signals from bare‑metal metrics, logs, traces, and business KPIs are stored and analyzed on‑premises, enabling continuous, governed intelligence without compromising security or compliance. Users interact via a CLI, web console, or REST API, and can extend functionality with open‑source Go or Python SDKs for custom agents and providers.
Target Audience
Primary customers are platform engineers, SREs, and DevOps teams in regulated industries (e.g., finance, healthcare, government) that require on‑premises AI automation and observability within sovereign or air‑gapped data centers.
Features
- AI and security sidecars integrated across all eight DevOps stages, providing continuous observability and automated decision support
- Engine that parses plain‑English intents, selects or creates workflows, and routes LLM calls through configurable providers (e.g., OpenAI, Anthropic, Ollama, vLLM, LM Studio)
- Human‑in‑the‑loop approval system for any MODIFY or ADMIN actions, ensuring explainable and auditable changes
- Open‑source agents for metrics, logs, and traces with READ, MODIFY, and ADMIN permission levels
- Pluggable connectors for identity providers (Keycloak, Active Directory, OKTA, etc.) and future integrations (secrets management, ticketing, artifact registries)
- Go and Python SDKs for building custom agents and providers, enabling extensibility to any internal toolchain
- Full web UI and CLI (miractl) for intent submission, workflow execution, approval management, and execution history review