Autoptic provides an AI‑powered DevOps platform that continuously analyzes telemetry to surface hidden changes and volatility before they trigger alerts. It delivers proactive “Briefs” and integrates with existing monitoring, CI/CD, and ITSM tools to enable faster incident detection, automated remediation, and FinOps monitoring of observability costs.
Funding
Funding not disclosed
Founders
Product
Problem
Modern software production environments experience increasing volatility due to AI‑generated code, frequent pull‑request changes, and complex microservice interactions, leading to more latent incidents, performance degradations, and unpredictable observability costs.
Solution
Autoptic delivers an AI‑powered DevOps platform that continuously analyzes telemetry streams to surface hidden changes and volatility before they trigger alerts. By combining AI inference with deterministic signal‑conditioning algorithms, the system generates proactive “Briefs” that highlight emerging issues across code, configuration, vendor updates, and traffic patterns. The platform also provides a unified framework for deploying and managing AI agents and workflows across multiple LLM providers, enabling teams to automate investigations, triage, and remediation directly from their existing toolchain. Integrated FinOps capabilities monitor the financial impact of observability services, alerting teams to potential cost overruns. Autoptic’s seamless integrations with major monitoring, CI/CD, and ITSM tools allow organizations to enhance their existing observability stack without replacement, improving change resilience, incident response speed, and overall system confidence.
Target Audience
Primary customers are DevOps, Site Reliability Engineering, and Platform Engineering teams in mid‑size to large enterprises that need to maintain high change velocity while ensuring system resilience and cost control.
Features
- Continuous AI‑driven analysis of telemetry to detect latent production problems and change‑correlated outliers
- Proactive “Briefs” delivered before traditional alerts, enabling pre‑emptive mitigation
- Flexible AI agent orchestration supporting multiple LLM providers and on‑premise open‑source models
- Real‑time, collaborative forensic investigations accessible from development, chat, and portal interfaces
- FinOps module that models and monitors observability tool usage to prevent unexpected cost overruns
- Native integrations with 15+ DevOps ecosystems (e.g., Datadog, Grafana, GitHub, GitLab, JIRA) and API hooks for custom workflows
- No variable usage fees; pricing is based on license and optional subscription tiers