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All Systems NormalBuilt in NYC

The Autonomous System for Production
SOC 2, GDPR, and HIPAA compliant.

Production that runs itself.Production that runs itself.

The autonomous system for production that diagnoses, fixes, and prevents issues across your environment.

Book a Demo
Antimetal desktop app with running patrols, production issues, and suggested improvements.

Trusted by engineering teams at

Antimetal automates production engineering so your team can focus on building.Antimetal automates production engineering so your team can focus on building.

  1. Models your environment

    Antimetal builds a World Model from your code, infrastructure, and observability data, refining it with every change, investigation, and team decision.

    CodeInfrastructureObservability
    Connecting your system

    Mapping services, dependencies, and behavior

    Building your World ModelContinuous learning
  2. Triages incoming signals

    Antimetal ingests tickets, alerts, deployments, and other signals, grouping related events and filtering out noise.

    TimeSourceEventLinked finding
    22mError budget burning at 1.8× on checkout-svc6 related events clustered · 6 sourcesISS-2
    22mMedicFlagged error-budget burn on checkout-svccheckout-svc · Agent findingUnlinked
    23mDatadog[P1] checkout-svc · error budget burn rate > 1.5×checkout-svc · Monitor triggeredUnlinked
    24mDatadogsearch-api · disk usage monitor flappingsearch-api · Auto-resolved 3×Unlinked
    26mGuardianConnection pool saturation on checkout-svccheckout-svc → prod-dbUnlinked
    30mAWSRDS read replica prod-db-ro restartedprod-db · us-east-1Unlinked
    34mLookoutorders-worker at 82% of scaling headroomorders-worker · Capacity forecastUnlinked
    41mKubernetescheckout-svc scaled 8 → 6 replicascheckout-svc · DeploymentUnlinked
    42mGitHubDeploy v3.2.1 rolled out to productioncheckout-svc · PR #3761Unlinked
  3. Shows what needs attention

    Antimetal distills those signals into a prioritized list of Issues to address and Improvements to make your system healthier.

    Your prioritiesRanked by impact & urgency
    Evaluating new checkout activity…
    010203
    ISS-2IssueInvestigating

    Checkout errors after replica rollout

    New checkout errors

    IMP-16ImprovementPlan ahead

    Raise checkout’s scaling ceiling

    Capacity risk ahead of next week’s peak

    IMP-4ImprovementImprove

    Add missing latency monitoring

    Close a blind spot in search-api

  4. Fixes and verifies

    Antimetal generates code and configuration fixes for review, then verifies approved changes in production to confirm the problem is resolved and the fix holds.

    Fix & verifyISS-2 · checkout-svc

    Recycle stale database connections

    PR #3775 +1 −1

    services/checkout/database.ts+ maxLifetimeSeconds: 60
    ApprovedChecks passedDeployed
    Production verification1.4sp95 latency
    Before fixAfter rolloutBaseline
    Fix ready for your review

    Following the change through to recovery

See Antimetal in action.See Antimetal in action.

Get Started
  • “Antimetal helps us stay focused on product by resolving issues as they come in.”

    Mihir PenugondaHead of Engineering, Pocket

    45%

    fewer recurring incidents

    BeforeAfter

Always on patrol across your system.Always on patrol across your system.

Patrols put agents to work uncovering issues and improvements beyond your existing alerts. They also automate recurring production engineering work.

Put your first patrol to work
  • LedgerCloud & LLM costs412 checks

    Find idle capacity and spend that isn’t earning its keep.

    Capacity in use22% idle
    IMP-1Improvement

    Right-size idle staging capacity

    3.2× more capacity than the workload needs.

    ~$840/mo in projected savings
    Scope
    Cloud accounts
    Runs
    Daily
  • SurveyorObservability posture188 checks

    Find the blind spots before they hide an incident.

    Monitoring coverage94% covered
    IMP-4Improvement

    Close a monitoring blind spot

    search-api has no p95 latency monitor.

    New monitor drafted for review
    Scope
    Production services
    Runs
    Daily
  • TunerDatabase health96 checks

    Find slow queries and database risks before they affect services.

    Replication lag0.4s lag
    ISS-5Issue

    Catch replication lag early

    read-replica-2 lag spiked to 5.1 seconds.

    Verified recovery below 1 second
    Scope
    Production databases
    Runs
    Every 15 min
  • MedicService health214 checks

    Spot slow degradation before it becomes downtime.

    p99 latency156ms p99
    ISS-4Issue

    Find degradation before the alert

    search-api p99 rose 9% while still inside its SLO.

    Trend surfaced for investigation
    Scope
    Production services
    Runs
    Every 5 min
  • PlannerScaling & capacity64 checks

    Keep demand from running into a hard ceiling.

    Worker demand85% of ceiling
    IMP-16Improvement

    Create room for the next peak

    checkout-svc is within 15% of its scaling ceiling.

    Raise max replicas to 12
    Scope
    Compute & queues
    Runs
    Daily
  • SentinelVulnerability scanning327 checks

    Find vulnerable dependencies and where they run.

    Dependency check2 open CVEs
    ISS-3Issue

    Keep dependency upgrades moving

    Scheduled audits found vulnerable dependencies in 3 repos.

    Upgrade PRs generated · Checks passed
    Scope
    Connected repositories
    Runs
    Every 6 hours
  • SleuthError sweep158 checks

    Catch new errors. Group the repeats. Find the source.

    Exception clusters3 new clusters
    ISS-6Issue

    Turn recurring error sweeps into fixes

    1,284 exceptions grouped and traced to missing configuration.

    SharePoint picker fix ready for review
    Scope
    Production services
    Runs
    Hourly

Understand how your environment works.Understand how your environment works.

Replica rollout mergedDeployment diff
Database replica restartedRollout events
Checkout timeouts risingError traces
Likely cause · 3 systemsStale database connections
ISS-2checkout-svc

Connects the dots.

Links code changes, infrastructure events, and runtime behavior to show what’s behind a problem.

Recycle stale database connectionsPR #3775 · checkout-svc
PTPayments teamCODEOWNERSOwner
SIShreyasRecent GitHub reviewsReviewer
Review requested2 people

Knows who owns what.

Uses code ownership and review history to identify service owners and the right people to review a fix.

JL
Your team’s decision

Keep checkout at eight replicas. We need the capacity for peak traffic.

World Model updatedcheckout-svc
Improvement · Next patrol runReduce idle capacity. Preserve checkout.
minReplicas 8Your team’s constraint

Remembers your decisions.

Keeps past investigations, fixes, and team decisions in the World Model to guide future recommendations.

Your system, at your command.Your system, at your command.

Ask questions. Direct the work.

Ask Antimetal to investigate a problem, explain what changed, or generate a fix. Add context and steer it as it works.

#production-alerts
Shreyas Iyer10:42 AM

Checkout errors are rising. @Antimetal can you investigate?

👀 1
Antimetal APP10:43 AM

Stale database connections caused this. I’ve opened a fix for review.

Here’s the fix: #3775 · Recycle stale connections

Message #production-alerts

Works where you work.

Antimetal works directly within your team’s conversations in Slack or Microsoft Teams to help resolve issues and make decisions faster.

  • “Compared to our internal bot, Antimetal is more comprehensive and connects the dots across our data sources.”

    Armando CanalsApplied ML, Finch Legal

    82%

    less time spent investigating issues

    June 2026October 2026

“You may be able to build software rapidly, but if people can’t depend on it, if you can’t figure out what breaks, well, people aren’t going to use it.”

GoogleBen LutchVP of Engineering

Put Antimetal to work.Put Antimetal to work.

Antimetal works alongside your team to understand your environment, keep it running, and make it better.

Try Now

From the research log

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  • ResearchAug 3, 2026

    Compressing Production Telemetry for Agents

  • ResearchJun 10, 2026

    We used Antimetal to resolve 76% of our production errors in one day

  • EngineeringJun 5, 2026

    How we automated technical implementation

  • ProductApr 16, 2026

    Introducing Antimetal for Coding Agents

  • ResearchJan 20, 2026

    Building a Unified Model of Software Systems

  • ResearchAug 3, 2026

    Compressing Production Telemetry for Agents

  • ResearchJun 10, 2026

    We used Antimetal to resolve 76% of our production errors in one day

  • EngineeringJun 5, 2026

    How we automated technical implementation

  • ProductApr 16, 2026

    Introducing Antimetal for Coding Agents

  • ResearchJan 20, 2026

    Building a Unified Model of Software Systems