Most teams learn where they're fragile when things break. With Gremlin and Foresight AI, you find the risks first, get the fixes, and re-test to prove they work.
Incident counts, MTTR, and uptime only show what already went wrong. Meanwhile, AI ships changes faster than any team can validate them.
MTTR, SLOs, and uptime show past behavior, not where you're at risk now.
Redundancy, auto-scaling, and DR plans go untested until a production incident tests them.
Without a common standard, teams can't compare risk or report it to leadership.
Known risks sit in a remediation backlog while new code keeps shipping.
Gremlin gives you a standardized, scalable way to measure, manage, and improve the reliability of your services, before an incident tells you what's broken.
Passive risk detection, dependency discovery, and resilience and chaos testing give you a forward-looking view of every service.
Set a reliability baseline with test suites, let teams run their own tests, and benchmark services and teams against your standard.
AI-powered remediation, automated re-testing, and score tracking help you fix risks fast and show measurable improvement.
Major US insurer
Top 5 global bank
Top 5 US bank, 100M customers
on new platform migration
In high-velocity environments, reliability can't be an afterthought.
"Gremlin equips SRE and performance teams with deep, real-time insights—enabling early detection of reliability regressions, faster root cause isolation, and proactive remediation without disrupting release velocity."
Arul Martin
Director of Performance Engineering
Sephora
Blast radius controls and automatic halt conditions make it safe to test live systems.
Bare metal, on-prem, multi-cloud, and serverless.
Plus global leaders in finance, SaaS, retail, and media.
10+ years of real-world failure data in the product, and we help your teams build the practice around it.
Not a side project. Every hire and roadmap decision goes to making customers more reliable.
Gremlin runs at 99.999% availability by testing itself with Gremlin.
AI SRE tools help you respond to incidents faster, which means they assume the incident happens. Foresight AI tests your systems to find failures before they reach customers, then proves the fix works. One speeds up recovery. The other prevents the incident.
Foresight AI is Gremlin's agentic resilience product. Its supervised agents analyze and test your systems, propose fixes as config patches and IaC diffs, and re-run tests to prove each fix holds. It's grounded in the Failure Atlas, Gremlin's record of how real systems fail.
Gremlin works alongside your monitoring, observability, CI/CD, and incident management tools. Your existing stack tells you what happened; Gremlin shows you what could happen next.
Most organizations see their first reliability scores within days of deployment. AI-enabled setup and analysis, guided test suites, and automatic risk detection mean findings without months of configuration.
Chaos engineering is where Gremlin started, but the word "chaos" implies randomness. Gremlin is structured and engineer-driven: test coverage, safety, and scaling reliability practices from development through production. The goal is an honest picture of where you're at risk and what to fix next.
If things already fail unpredictably, you have uncontrolled risk. Gremlin replaces it with controlled tests: targeted coverage, safe execution, a limited blast radius, and a deliberate path into production.
No. Waiting until you're "ready" is like waiting to get in shape before you start exercising. Built-in safety controls and guided onboarding let you start safely at any maturity level.
See Gremlin find where your systems will fail, fix the risks first, and prove the results.