AGENTIC reSILIENCE ENGINEERING

AI accelerates everything. Foresight makes it resilient.

Gremlin's Foresight AI analyzes and tests your systems for potential failures, delivers the fix, and proves it holds. Let AI accelerate your development, not your incident count.

Foresight AI
What's the biggest reliability risk you found this week?

I detected that login-service has no liveness probe and testing found that it is only deployed in a single availability zone. If that zone goes down, the entire service goes down with it. This is your highest-risk service. Two other services share the same pattern.

Grounded in 3 test runs · 2 detected risks

Would you like me to propose a fix for you?

Yes, let's fix that.
But wait, how do you know?

I use Gremlin's Failure Atlas, a real-world model of how systems fail based on 10+ years of resilience and chaos testing cause-and-effect data.

I detected the liveness probe risk in your Kubernetes config, and found the AZ redundancy issue during your safe, scheduled resilience testing.

Ok, I've now done more research and opened PR #482 adding a liveness probe and topology-spread constraints.

Re-run the failing test once it merges to prove the risk is cleared.

Ready to move on to your next highest risk?

Ask Foresight AI…
Built on the platform trusted by the world's most reliable companies
The reliability gap

You can see what's breaking. You can't see what's about to.

AI is shipping changes faster than anyone can test them, and each one can introduce a new weak spot. Monitoring and incident tools are built to catch failures once they appear.

SEES THE PAST
Observability: shows what's already happened

Logs, traces, and metrics are backward-looking and can't surface sudden failures before impact. You see damage after customers feel it.

reactS FASTER
AI SRE tools: help you recover faster

Automated triage and response can cut recovery time. They step in once an incident is underway, and they don't test whether a fix will hold.

FINDS IT FIRST

Foresight AI: fixes weaknesses before they impact customers

Foresight AI continuously builds resilience by analyzing and testing your systems against how real systems fail, drawing on the Failure Atlas. It surfaces risks and remediations, then proves your fixes hold with repeated testing as everything changes. Most potential failures are caught before they become incidents.

How it works

Find it. Fix it. Prove it.

An agentic resilience loop that builds measurable reliability.

1
FIND it
Know where you'll fail

Detect and test potential risks to pinpoint where a system will fail and which risks should be prioritized before any incident occurs.

2
fix it
Resolve the risks

Turn each finding into specific, guided remediation so teams resolve the right risks quickly and correctly.

3
prove it
Confirm resilience holds

Confirm that fixes hold as systems change with safe, controlled resilience testing. Measure your resilience posture over time, replacing hope with evidence.

Capabilities

An agentic resilience team and the system that powers it.

Reliability used to feel like homework. Now Foresight AI does the work for you. It's grounded in the Failure Atlas, Gremlin's proprietary record of how real systems fail, and it works with the tools you already use.

01

Your agentic resilience team

Resilience Engineering Agents

Supervised agents that find, fix, and verify risks, closing the loop without pulling engineers off their work.

analyst
tester
operator
Program Management Agents

Supervised agents that run your reliability program, so risks get handled and leadership stays informed.

program manager
02

The engine they run on

Failure Atlas

Gremlin's proprietary record of how real systems fail: a labeled record of cause and effect, built from millions of observed failures and remediations in production systems at the world's largest enterprises. It grounds every prediction and fix, targeting the failure modes behind most outages first. Every result drives the feedback loop, so the guidance gets sharper the more you use it.

Application Analysis

Maps services, recommends tests, and prioritizes actions to improve reliability.

Resilience Testing

Safe, secure testing for virtually any app, infra, or dependency, no matter where it lives.

Experiment Analysis

Turns test results into clear pass/fail with the likely cause, so you go straight to the fix.

Recommended Remediation

Delivers the fix, not just advice: concrete config patches and IaC diffs that fit your GitOps flow.

Closed-Loop Verification

Re-runs the test to prove the risk is gone, then keeps watching to prevent regressions.

LLM Inference

Foresight's agents use LLMs to reason, plan, and explain their work. Your system data is never used to train models.

Enterprise-ready by design
why gremlin foresight

Trusted where downtime isn't an option.

Foresight AI is built on Gremlin, the enterprise reliability management and resilience testing platform the world's most demanding companies already run on.

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Proven at the largest enterprises

Relied on across finance, SaaS, retail, and media, including four of the five largest U.S. banks.

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We run Gremlin on Gremlin

We maintain 99.999% availability on our own platform using the very same product.

100% focused on reliability

Not a side feature of a bigger suite. Every hire, line of code, and roadmap decision goes to making you more resilient.

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Expertise, built in

Founded on resilience work pioneered at Amazon and Netflix, refined through deep partnerships with the world's most reliable companies.

proven results

Resilience you can measure.

Results from the Gremlin Reliability Management Platform, the proven foundation Foresight AI is built on.

50
%

Reduction in downtime

Major US insurer

90
%

Reduction in DR testing time

Top 5 global bank

60

Critical failure modes found

Top 5 US bank, 100M customers

99.99
%

Availability achieved

On new platform migration

available now

Build resilience across everything you ship and run, at the speed of AI.

Gremlin's Foresight AI analyzes and tests your systems for potential failures, delivers the fix, and proves it holds. Let AI accelerate your development, not your incident count.