aurintai builds sovereign, transparent AI systems for infrastructure operations. Accelerate AI governs autonomous agents with Policy-as-Code. Augmented SRE Operator is your AI companion for daily SRE work — investigations, runbooks, and on-call. Augmented Analyst diagnoses cross-border transactional infrastructure at hyperscale. All three run on your stack, under your policies, with full operator control.
The alert fires. Your APM shows payment API latency spiking. You open PagerDuty, then Slack, then GitHub, then Jira, then Confluence. You ping the on-call engineer. You wait. They wake up. They start the same detective work you just finished — entirely from scratch.
Meanwhile, your APM tool doesn't know a deployment went out 11 minutes ago. Your GitHub doesn't know there's a Jira ticket for a database schema change. Your Confluence runbook from last month's identical incident? Buried. And if you try to add AI? Most AIOps platforms force you to ship your sensitive telemetry to their cloud, lock you into proprietary models, and hide agent reasoning behind opaque APIs you can't audit.
Industry research shows teams lose 10–15 minutes per incident to coordination overhead — assembling responders, switching tools, and hunting context before troubleshooting begins.
Source: incident.io SRE coordination research, 2025–2026
From minor API latency spikes to global payment outages, things break. The difference is whether your team is scrambling across tools — or your agents already resolved it before the alert escalated.
Connects to the tools you already use — no rip-and-replace, no custom connectors needed.
From autonomous agent orchestration to AI-powered SRE companionship to cross-border transactional intelligence, aurintai delivers sovereign AI with Policy-as-Code governance and real-time operator control.
The self-deployable agentic AIOps platform that orchestrates autonomous AI agents via A2A protocols to self-discover, dynamically baseline, correlate DevOps signals, and resolve incidents — all governed by Policy-as-Code, with transparent reasoning inspectable at every step, and real-time operator override.
An AI-powered SRE companion that works alongside your engineers — not replacing them, but amplifying them. Ask natural language questions about your infrastructure. Get instant root-cause analysis. Generate and execute runbooks from plain English. Proactively surface anomalies before they become incidents.
An event-driven, asynchronous, API-first GenAIOps streaming overlay engineered to automate root-cause diagnostics and eliminate manual log-diving across high-volume cross-border corridors. Operates entirely out-of-band with zero blast radius, benchmarked at 100T+ telemetry points monthly with 94%+ diagnostic accuracy validated against historical ground truth.
"We deployed aurintai in our air-gapped environment and had 8,000 services auto-discovered within 48 hours. When a critical payment API latency spike hit at 2 AM, the platform correlated it with a deployment from 11 minutes prior and resolved it before most of the team woke up."
Combines expertise across your teams, operates all your tools, and captures the tribal knowledge of your unique systems — with full transparency and sovereign control.
AI agents handle on-call rotations, incident triage, root-cause analysis, and daily production work. From autonomous Discovery and Baseline agents to specialized FMEA and Remediation agents — your operations run continuously while engineers focus on shipping.
Trusted by world-class engineering teams to get to root cause in the most demanding production environments. Correlate alerts with GitHub commits, Jira changes, ServiceNow incidents, and Confluence knowledge — compressing 2-hour manual investigations into 2-second plain-language briefs.
Plug aurintai into your existing ecosystem with A2A protocols, APIs, and custom Skills. Bring your tribal knowledge, operational runbooks, and domain expertise into the platform. Pluggable LLM/SLM architecture integrates with AWS Bedrock, Azure OpenAI, and open-source models.
"If we had to roll back aurintai, our incident response would regress significantly. The Policy-as-Code layer gave our compliance team audit confidence, and the reasoning traces mean we can justify every agent decision to regulators."Read their full story →
Deploy aurintai — sovereign AI operations that run on your infrastructure, with your models, under your policies, with your operators in control.