Infraware provides a Rust-native terminal that lets engineers and AI agents collaboratively manage mission‑critical infrastructure with every command requiring human approval. The platform offers AI‑assisted context gathering, hypothesis testing, and automated post‑mortem drafting while maintaining a full, audit‑ready trail of all actions, ensuring accountability for systems like payments and healthcare.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations running mission‑critical infrastructure such as payment processing, healthcare services, or core digital platforms struggle to balance rapid automated operations with the need for clear human accountability and auditability. Existing AI‑driven SRE tools often push toward full autonomy, which can obscure decision provenance and increase compliance risk.
Solution
Infraware delivers a Rust‑native terminal that places engineers in direct control of critical actions while leveraging AI agents for context collection, hypothesis generation, and post‑mortem drafting. Each command that could affect production must be explicitly approved by a human operator, preserving a legible chain of responsibility. The platform records a complete, tamper‑evident audit trail of every command, AI suggestion, and human decision on the local workstation, ensuring no data leaves the environment. By integrating open‑source tools like Rotelle for fault injection and Incident Lab for simulated response drills, Infraware provides a unified operational layer that combines human judgment with AI assistance without sacrificing compliance.
Target Audience
Primary users are Site Reliability Engineers, DevOps teams, and security‑focused operations personnel responsible for high‑stakes systems in finance, healthcare, and other regulated digital services.
Features
- Rust‑based terminal environment optimized for low latency and security in production settings
- Human‑in‑the‑loop command approval workflow that enforces explicit consent for all impactful actions
- Multi‑agent AI pipeline that gathers operational context, proposes hypotheses, and drafts incident post‑mortems while leaving final decisions to engineers
- Immutable, locally stored audit log capturing every command, AI suggestion, and approval decision for compliance and forensic analysis
- Integrated open‑source fault injection tool (Rotelle) for targeted Kubernetes failure testing
- Incident Lab simulation environment enabling engineers to rehearse responses to AI‑generated failure scenarios