CI BUILD OUTPUT
logs · stack traces
ON-PREM AGENT
sanitise secrets
SANITISED CONTEXT
error-focused signal
AI ANALYSIS
root cause · fix gen
AUTOMATED PR
reviewable patch
CI/CD Pipeline — exploded viewdaxtack
Works with your CI

BROKEN BUILD?ALREADY FIXED.

Your build logs already contain the clues. Daxtack turns them into a reviewable root-cause analysis and suggested fix without hours of manual triage. The on-prem agent sanitizes log context first, so source code never leaves your network.

No SDKworks with existing pipelines
Zero inboundagent initiates every connection
Legacy CIJenkins, Bamboo, Azure DevOps
Source code stays inside your networkOutbound-only agentJenkins, Bamboo, Azure DevOps
Why teams switch

Spend less time
inside failed pipelines.
Keep shipping.

Daxtack is for teams that want a cleaner incident workflow, not another dashboard full of vague AI output.

With Daxtack's on-premise agent, you surface likely root cause, suggested fixes, and a reviewable incident trail without exposing a single line of source code.

The goal is straightforward: fewer manual handoffs and faster, more confident recovery when CI breaks.

Less Manual Triage

Capture the failure once and keep the context attached.

The agent captures build output from your existing CI stack, sanitizes it, and hands AI the failure context directly. Engineers review the output instead of copying logs between tools.

Fewer Re-runs

Shorter incident loops mean less wasted pipeline time.

When teams get a concrete root-cause summary and a proposed fix quickly, they spend less time retrying builds and less time pulling senior engineers into routine failures.

Keep Delivery Moving

Debugging stops interrupting feature work.

Daxtack turns failure analysis into a repeatable workflow, so engineers can review the diagnosis, patch, and PR in one place instead of context-switching across terminals, chats, and dashboards.

Reviewable Incident History

Each failure analysis stays visible after the incident is over.

Each analysis keeps the failure context, generated reasoning, and recommended fix attached to the record so teams can review what happened and share it internally.

Performance stats

Proven by leading
engineering teams

Increase deployment velocity and close incidents faster through smarter log intelligence.

Keep your current CI stack and failure workflow.

Sanitize build output before it reaches an AI model.

Use the free plan for hands-on evaluation and bring sales in when procurement matters.

Review the free plan on real failures, then move to a sales-led rollout if you need private deployment, procurement review, or team-wide controls.

Free plan availableSales path for enterprise
Network posture

0

Inbound ports required by the on-prem agent

CI coverage

0

CI platforms shown on the landing page

Starter plan

0

Analyses included each month on the free plan

Architecture

From failure to fix,
without copy-paste triage.

Your build fails. The agent sanitizes context, analyzes the issue, and returns a concrete next step.

Your Infrastructure

CI Pipeline

Jenkins · GitHub Actions · GitLab

Build Fails

Raw logs available

Step 01

Build breaks

When your CI pipeline fails, Daxtack captures the full build output — logs, errors, stack traces — from your existing tools. No SDK, no code changes.

Daxtack Agenton-prem

Strip Secrets

API keys, tokens, creds

Remove PII

Emails, names, IPs

Extract Context

Error patterns only

Data transmitted
Raw logsSanitized context
Step 02

Agent processes locally

Running inside your network, the agent strips credentials, removes PII, and reduces raw build output into sanitized error context for analysis. Source code never leaves.

Outbound-only · TLS 1.3
Daxtack Cloud

AI Analysis

Claude · GPT · Gemini

Fix + Pull Request

Root cause · Suggested patch

Fix ready for review
Step 03

AI analyzes the failure

Sanitized context hits our multi-model AI layer. Daxtack returns a likely root cause, a suggested fix, and a reviewable next action without manual log hunting.

Live Analysis

See it in action

Root cause identified. Fixes ranked by success rate. Ready to apply.

daxtack.com/dashboard/analysis
Daxtack Analysis Dashboard

Security

Built for teams where security
isn't negotiable

  • Private
    by design

    Zero Code Visibility

    We only analyze error context. Your source code and intellectual property remain entirely private.

  • Local
    scrubbing

    Secret Detection

    API keys, tokens, credentials and PII are automatically stripped before any data leaves your network.

  • 0
    inbound ports

    Outbound Only

    No open inbound ports. The agent initiates all connections — your firewall stays locked down.

  • Minimal
    data sent

    Data Minimization

    Only sanitized error context is sent for analysis. Full raw logs stay in your environment.

  • Traceable
    history

    Reviewable Analysis History

    Keep a clear record of what failed, what was analyzed, and what fix was suggested. Useful for internal reviews and security-conscious teams.

Platform

Everything you need to ship faster

Integration

PR Auto-Comments

Fixes appear directly on your pull requests within seconds.

PR Auto-Comments
Analytics

Team Analytics

Track patterns, velocity, and recurring issues across your team.

Team Analytics
Collaboration

Team Workspace

Collaborate seamlessly with shared fixes and insights.

Team Workspace

Workflow Comparison

How we compare.

CI integration
Daxtack
Auto-captured from CI pipeline
Traditional
Copy raw logs manually
Data handling
Daxtack
Secrets stripped on-prem before analysis
Traditional
Raw logs pasted into external tools
Analysis quality
Daxtack
Context-aware, failure-specific output
Traditional
Vague suggestions from generic AI
Time to resolution
Daxtack
Seconds
Traditional
Hours of retry loops
Escalation needed
Daxtack
Rarely — fix is actionable
Traditional
Frequent — after wasting hours

Platforms

Works with legacy CI

GitHub and GitLab have AI. Jenkins doesn't. Until now.

GitHub Actions
GitLab CI
Jenkins
Azure DevOps
GitHub Actions
GitLab CI
Jenkins
Azure DevOps
Bamboo
CircleCI
TeamCity
Travis CI
Bamboo
CircleCI
TeamCity
Travis CI

+ Any CI/CD platform with webhook support

Pricing

Choose your plan

Self-serve for individual teams. Sales-assisted when you need private deployment, procurement review, or rollout support.

Prices in
Beta: 30 free analyses

Free

Try the workflow on real CI failures

Free
30 analyses
  • 30 analyses/month
  • All CI platforms
  • Basic error detection
  • Shareable results
Popular

Pro

For individual engineers

$25/mo
200 analyses
  • 200 analyses/month
  • Priority processing
  • API access
  • GitHub integration
  • Slack alerts

Team

For small teams that need shared visibility

$70/mo
2,000 analyses
  • 2,000 analyses/month
  • Team collaboration
  • Shared dashboards
  • Pattern detection
  • Priority support

Enterprise

Private deployment and procurement support

Custom
Unlimited analyses
  • Unlimited analyses
  • Self-hosted option
  • SSO / SAML
  • Custom SLA
  • Dedicated support
No credit card upfrontUpgrade in the dashboardSales help for enterprise rollout
{ci analysis}

One-click CI analysis

Start with the free plan, or book a sales call if you need private deployment and rollout support.