Microsoft AI
AI Infrastructure
← Websites
Antimetal
An autonomous system that diagnoses, fixes and prevents production issues for engineering teams
Visit site ↗
3.5MB · 9,715px tall · uses Geist, Menlo, Test Signifier
Industry
Devtools, AI Agents
Style
Editorial, Minimal, Scroll Animation
Stage
Series A
Built with
Next.js
About the site
Antimetal builds an autonomous layer for production engineering: a live world model of your stack with specialized agents that investigate incidents, propose fixes and open pull requests. Its homepage is set in a warm grey with an editorial serif, opening on 'Production that runs itself.' beside a starburst of coloured nodes, then a video quote from Google's VP of Engineering. A chart of the 'representational gap' between system complexity and what a team can hold in their heads frames the problem, and a layered diagram places Antimetal between your team and production, on top of 92+ integrations. A live product dashboard shows health scores, MTTR and fixes waiting for approval, followed by the agent lineup (Patrol, Triage, World Model, Agent Builder), an FAQ aimed at engineers who distrust autonomy, blueprint-illustrated research posts and a dark closing CTA for a 30-minute demo. A useful reference for selling autonomy to a skeptical technical buyer with restrained, research-led art direction.
How this page sells
For engineering leaders drowning in alerts: frame production as too complex for humans, then earn trust for autonomy with research and approvals.
Primary navigation
- Blog
- Careers
- Government
- Sign In
- Book a demo
ClickTap a section to see it on the page
'Production that runs itself.' in a large serif on warm grey, beside a starburst of black, orange and olive nodes, with 'Book a demo' and a bracketed 'Explore the research' button.
Why it converts: A promise this bold needs a calm delivery, and the research button signals that the claim is backed by work an engineer can read.
A 2:07 video sits beside a quote from Ben Lutch, Google's VP of Engineering: if you can't figure out what breaks, people aren't going to use it.
Why it converts: A reliability leader from Google naming the problem gives it weight before Antimetal says a word about itself.
A chart shows the understanding needed to manage production curving away from what a team can hold in their heads, beside a drop-cap essay about pages at 3 a.m. and fixes that never become prevention.
Why it converts: Naming the gap as structural rather than a skills problem lets an engineering leader admit the pain without blaming their team.
Three cards (The Vision, The World Model, 'Everyone else watches. We operate.') scroll beside a diagram stacking Your Team, Antimetal Agents and World Model over Production, with +92 more integrations.
Why it converts: Placing Antimetal as a layer on top of existing tools, not a replacement, separates it from assistants that only recommend while keeping the current stack intact.
'Good evening, Shreyas' opens a product dashboard on a dark starfield: a 94% health score, 2m 12s MTTR, 99.97% uptime and two fixes waiting for approval, beside an 'Ask anything about your database' panel.
Why it converts: Seeing agents' work queued behind Approve buttons shows autonomy with a human gate, the exact balance a cautious buyer is looking for.
'One platform. An army of agents.' lists Patrol, Triage, World Model and Agent Builder, which creates custom operational agents via natural language, beside a dark animated particle field.
Why it converts: Splitting the product into named specialists makes it easy to picture a first use case, and natural-language agent building lowers the cost of extending it.
'Operating production with agents' answers what teams ask before trusting it: how it understands systems, whether it replaces observability tools, why a coding agent isn't enough and what it does autonomously.
Why it converts: Each question is a real reason to say no, and answering 'Why isn't a coding agent enough?' directly takes on the cheapest alternative.
'From the research log.' shows three posts with blueprint illustrations, including 'We used Antimetal to resolve 76% of our production errors in one day' and one on compressing telemetry 10 to 100x for agents.
Why it converts: Publishing internal results and methods gives an engineer evidence to inspect, which persuades this audience more than customer logos.
'The autonomous system for production.' on a dark grain field invites a 30-minute demo, above a footer noting SOC 2, GDPR and HIPAA compliance and an 'All systems normal' status badge.
Why it converts: A short, timed demo keeps the ask modest, and the compliance line and live status badge close with the reliability the product promises.
