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Metoro

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Metoro

AI SRE For Teams on Kubernetes

metoro.io
HQ: London, England, United Kingdom
B2B

Company research

Public company, workplace, funding, and market signals

Overview

Metoro is a YC S23 Kubernetes observability startup building an AI SRE agent that uses eBPF to collect kernel-level telemetry, investigate incidents, verify deployments, and open fix PRs with no code changes. Public sources conflict on HQ (London vs. San Francisco), and funding estimates vary, but the most consistently reported round is a Sep 2023 $1.2M pre-seed.

Primary product

AI SRE and observability platform for Kubernetes

Founded

2023

Headquarters

San Francisco, California, United States (public sources also list London, United Kingdom)

Team size

1-10

Industry

Software Development

Sub-industry

Kubernetes observability / AI SRE / developer tools

Offices

London, United Kingdom
San Francisco, California, United States

Business model

B2B SaaS
usage-based subscription
enterprise contracts
cloud marketplace sales
BYOC and on-prem deployments

Funding

Stage

Pre-Seed

Total raised

$1.2M

Latest round

Pre-Seed · Sep 2023

Latest amount

$1.2M

Pre-Seed

Sep 2023 · Y Combinator

$1.2M

People & investors

Leadership

Chris Battarbee

Founder & CEO

Tom Pointon

Co-founder & CTO

Investors

Apertu Capital
REMUS Capital
Saturnin Pugnet
XG Ventures
Y Combinator

Work & culture

Small, high-ownership team with offices in London and San Francisco. The careers page emphasizes speed, customer obsession, low bureaucracy, and building tools the team wishes existed at 3am.

Compensation

No public salary bands or compensation details found. Public hiring pages show full-time, in-person roles in London or San Francisco and an early-stage startup profile, but no published pay ranges.

Product & market

Pricing

Host-based / node-based SaaS pricing with a free Hobby tier, a Scale tier at $20 per node per month, and custom Enterprise pricing; also sold via Stripe and AWS Marketplace.

Differentiators

  • —Zero-instrumentation observability via eBPF at the kernel level
  • —AI SRE workflows for autonomous issue detection, investigation, and remediation
  • —Deployment verification that compares pre/post-change telemetry and posts verdicts in Slack
  • —Automatic fix pull requests with evidence attached
  • —Works without code changes, SDKs, or restarts
  • —Supports cloud, BYOC, and on-prem deployment options
  • —Kubernetes-native context across logs, metrics, traces, profiling, events, and deployment metadata

Technology

eBPF
Kubernetes
OpenTelemetry
OTLP
Prometheus-compatible metrics
OpenAI models
Microsoft-hosted OpenAI API
GitHub App
Slack integrations
Stripe
AWS Marketplace

Customers

Kubernetes teams
startups and scale-ups
engineering and SRE/on-call teams
organizations running cloud-native production workloads
teams using existing observability stacks like Datadog, Grafana, or Elastic

Competitors

Datadog
Grafana
Elastic
Prometheus-based observability tools
OpenTelemetry-native observability platforms
Sentry

Scale & contact

Estimated revenue

~$250K-$750K ARR (third-party estimates, not company-disclosed)

Estimated monthly visits

8.9K

Traffic estimate as of Jul 2026

support@metoro.io
BlogCareersDocsFounder/about pageGitHub orgLinkedIn companyPricingWebsiteX / TwitterY Combinator profile
SourcesHomepagePricingCareersBlogDocs / Getting StartedSLA / support contactsChris Battarbee author pageYC company profileLinkedIn company profileChris Battarbee LinkedInTom Pointon LinkedInGitHub orgGetLatka revenue estimateStartupHub revenue estimateTracxn funding pageExtruct funding pageSimilarweb-based traffic snippet sourceNetstack podcast episodeProduct Hunt launch postAI Deployment Verification announcement

Jobs and careers at Metoro

0 jobs at Metoro

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