AI Infrastructure & MLOps Enterprise Only

Deeptrace

AI agents that investigate production incidents and prepare reliable fixes

Visit official website
PricingEnterprise Only
Starting priceContact sales
Free planNo
Free trialYes
APIUnknown
Open sourceNo
DeploymentHybrid
Last verifiedJuly 30, 2026
Overview

Tool overview

Deeptrace is listed under AI Infrastructure & MLOps AI tools.

Summary

What is Deeptrace?

Deeptrace helps engineering teams investigate and resolve production incidents. It reasons across logs, traces, metrics, code, and operational tools, then drafts fixes, runbooks, documentation, pull requests, or issue tickets with human review.

Best fit

Best for

Engineering teams that want an AI investigator for production incidents and on-call work

Audience

Who is it for?

Site reliability engineersPlatform engineersBackend engineersDevOps teamsEngineering leaders
Recommendation

Decision note

Reviewed the official product and pricing pages plus the company profile. Confirmed cross-source incident investigation, Slack and web workflows, generated remediation artifacts, more than twenty integrations, and cloud, hybrid, or self-hosted options.

Capabilities

Key features

Cross-source root-cause investigation

Reasoning across logs, traces, metrics, and code

Slack and web investigation workflows

Generated pull requests and issue tickets

Runbook and documentation generation

More than twenty operational integrations

Workflows

Use cases

Investigate production alerts automatically

Correlate telemetry with recent code changes

Draft fixes and pull requests

Create runbooks from resolved incidents

Reduce repetitive on-call investigation work

Strengths

Pros

  • Purpose-built for production incident response
  • Connects telemetry and engineering context
  • Produces actionable remediation artifacts
  • Supports cloud and private deployment options
Considerations

Cons

  • Public plan prices are not listed
  • Requires broad access to production systems
  • Generated fixes still need engineering review
Considerations

Limitations

Deeptrace depends on access to reliable telemetry, source code, alert history, and connected tools. Teams should test permissions, data retention, deployment architecture, false-positive handling, generated-code review, audit logs, and incident escalation before production use.

Cost

Pricing details

Pricing modelEnterprise Only
Starting priceContact sales
Free planNo
Free trialYes
Pricing context

Billing options

Custom startup subscriptionCustom enterprise subscriptionDeployment and integration scope
Pricing context

Pricing note

Deeptrace offers sales-led Startup and Enterprise options. The official site describes trial periods and multiple deployment models but does not publish standard prices, so final cost depends on team scope, integrations, infrastructure, and support.

View official pricing
Compatibility

Supported languages

  • English
Connectivity

Integrations

GitHub

Datadog

Grafana

AWS CloudWatch

PagerDuty

Snowflake

PostHog

Linear

Sentry

Slack

Specs

Technical details

PlatformsWeb
Multilingual supportUnknown
Login requiredYes
Open sourceNo
LicenseProprietary
DeploymentHybrid
CompanyDeeptrace Labs, Inc.
Launch year2025
Models / versionsDeeptrace incident agents
Editions / plansStartup Enterprise
Data confidenceHigh
Last verifiedJuly 30, 2026
Documentation → Data source →
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Answers

Frequently asked questions

Deeptrace helps engineering teams investigate and resolve production incidents. It reasons across logs, traces, metrics, code, and operational tools, then drafts fixes, runbooks, documentation, pull requests, or issue tickets with human review.
Engineering teams that want an AI investigator for production incidents and on-call work
The listed pricing model for Deeptrace is Enterprise only. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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