Extending Observability
with the Power
of Resilience
Autoptic powers a new frontier of systems change resilience. Engineering, DevOps, and SRE teams can now manage more high-performing, highly-tolerant, and financially-predictable production software systems.
With Autoptic, engineering teams can more rapidly detect, diagnose, and repair production software problems, enabling teams to operate at previously unforeseen levels of change velocity, system confidence, and economic certainty.
All while optimizing and enhancing, not replacing, existing observability, ITSM, monitoring, and other DevOps tools.
Identify & Resolve Latent Problems
The Autoptic platform proactively identifies important changes in software and systems states, including anomaly patterns and slow-brewing degradations. Tuned Briefs, delivered before alerts trigger, help you preempt escalations.
Enable Real-Time Investigations
Seamlessly conduct AI-enabled problem and incident explorations. Leverage historical insights and correlations. Autoptic equips your entire team with on-the-fly, democratized forensics. With no variable costs or hidden fees.
Build, Harness, and Coordinate AI Agents
Orchestrate AI Agents, Skills, and Tools across environments and cross-system workflows. Leverage universal MCP services, OSS LLMs, and commercial models via token-optimized hosted or virtual private cloud (VPC) approaches.
Dynamically Detect Outlier Patterns
Identify meaningful signals of volatility within complex telemetry via change-correlated outliers. Autoptic aggregates, compresses, and analyzes telemetry streams using a combination of AI inference and a series of deterministic, signal-conditioning algorithms.
Unique Software that Balances AI Inference & Deterministic Algorithms
Pull requests are up. Business pressure is on. AI is fueling new levels of change velocity, across your bespoke applications and your vendors' systems. Yet change failure rates remain high. Production incidents are growing. And when something seems to be wrong, pinpointing the internal and external change events—and related patterns—that led to the problem is hard. Gone are the days of simple root-cause analysis.
AI agents alone struggle with voluminous data and consistent calculations. We created Autoptic to help SREs, DevOps Engineers, and Infrastructure Operators quickly receive precise answers from sprawling, multi-source datasets. With Autoptic, AI and algorithms work together to give you relative volatility correlation, equipping you to spot degrading anomalies, understand risk early, and take decisive action rapidly.
From the Autoptic Blog:
How is Autoptic Different?
Autoptic is built differently from most other modern AI companies, including:
35+ Angel Investors
Autoptic has intentionally not raised institutional capital. We hold that this gives us more freedom to be manically customer-focused. Learn about our professional angel investors, including 9 CTOs.
Deep Industry Expertise
Autoptic's leadership team has an average of 25 years of experience in enterprise software, inclusive of two OGs of the DevOps community. Get to know us here.
Differentiated Technology
Generally running in parallel to, and complementing systems like Datadog and Grafana, Autoptic uses fundamentally different approaches to discover and provide insights into complex degradations. Learn more.
Tackle Today's Toughest DevOps and Engineering Team Velocity and Resilience Challenges with Autoptic
Our Customers
Autoptic works with engineering teams from 5 to 5K+ across commerce, fintech, healthcare, media, mobility, and software, including:
20%
AI-fueled PRs per author YoY increase (Cortex 2026)
10%+
CFR for majority
of teams
(DORA 2025)
43%
AI code latent defects currently missed
(LightRun 2026)
23.5%
Production incidents up YoY, amplified by AI
(Cortex 2026)
$1.4M
Enterprise cost per hour of downtime
(BigPanda 2026)
