Autoptic Software

Our change resilience agents leverage a combination of integrations, telemetry, scripts, engines, AI, and analytics. These deliver Briefs and power Investigations, democratizing data access and cutting through the noise of traditional monitoring systems, all while leveraging your existing investments in observability tools and incident playbooks.

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Key Autoptic Features

Briefs

Storybooks from AI agents that

offer actionable hypotheses and recommendations along with supporting evidence.

Feedback

Adaptive, priority-based notifications generated and created by AI, thoughtfully and intelligently delivered to Slack and other systems.

Investigations

AI-enabled telemetry exploration with natural language Q&A. Archived historical collections. Enable on-the-fly democratized forensics.

Agents

Active, autonomous entities that plan and orchestrate workflows using tools based on specifications.

Differented Autoptic Technology

The Autoptic system has been constructed in 2025 using best of breed languages, tools, and technologies including Go, Cursor, Llama, Groq, gpt-oss, OTel, LangChain, qdrant, vllm, and DynamoDB. Proprietary technologies include:

PQL

Performance Query Language is an intuitive DSL for describing and executing system assessment logic. Callable from AI prompts. Built for trainability, verity, and efficiency. Demonstrated to be 60%+ more efficient than languages like Python.

Distillation

Autoptic's telemetry management approach compresses and preserves only the most relevant insights. Data is gathered, normalized, and aggregated in real-time, in memory, minimizing resources and storage requirements

Generation

Autoptic systems construct adaptable, dynamically generated notebooks that include summaries and visualizations, used for Feedback, Briefs, and Investigations.

BYOC

Autoptic software, including AI language models, is deployable into your private cloud environment using a simple Docker image approach. It is built from ground up to be managed by you and your team, ensuring:

Security: limits access to a single organization through private and secure networks.
Control: customize the environment to meet your specific technology, business, governance, and compliance requirements. Retain control of all data.
Predictability: with Autoptic, there are no variable or hidden costs. You manage any cost drivers (e.g. compute, tokens, and network) directly.

Sources

Autoptic collects information via a unique approach to federated search. Today, Autoptic enables data, telemetry, and issue aggregation from 10+ Sources, including Datadog, Grafana, JIRA, GitHub, CloudWatch, Prometheus, and OpenSearch. More Sources are under development and become available based on customer and market needs.

10+ Telemetry Sources Today.
More Coming.

Open

Language Models

Understanding the power and possibilities of AI frontier models, and the emerging landscape of small language models, Autoptic has been constructed in an open and flexible manner. We can leverage your licensed models while also hosting or shipping with a variety of commercial and open source models. Our team is constantly evaluating and tuning our AI systems, ensuring a high degree of insight, accuracy, and consistency in your agentic Briefs and Investigations.