AI Agent Reliability

Your AI agents
shouldn't quietly
get worse.

Relio catches behavioral regressions in AI agents before deployment — so a prompt change, model update, or API drift doesn't silently break your production system.

You're on the list. We'll reach out when we're ready.

No spam. Just early access when it's ready.

relio — zsh
$relio test agent.yaml --compare v1..v2
Running 500 scenarios against agent v2...
[████████████████████] 500/500
⚠ Behavioral drift detected
──────────────────────────────
✗ Refund approvals +6.2% (threshold: 2%)
✗ Policy violations +4 cases
✓ Hallucination rate within bounds
✓ Tool call accuracy 99.1%
✗ Deployment blocked. Fix regressions before shipping.
$

AI agents fail
silently in production.

Small changes that seem safe — a prompt rewrite, a model upgrade, an API version bump — can completely change how your agent behaves. Nobody catches it until a user complains.

01
Prompts change A small rewrite shifts the agent's decision logic without any visible error.
02
Models get swapped New model versions change tone, tool-calling, and reasoning behavior overnight.
03
Tool APIs drift External API schema changes break agent actions with no warning thrown.
!
Most teams find out when a user complains — not before. By then the agent has already approved wrong refunds, broken workflows, or violated policy dozens of times.

CI/CD for
AI agent behavior.

Before any change ships, Relio runs your agent through hundreds of simulated scenarios and blocks deployment if behavior changes dangerously. Think of it as a test suite — but for decisions, not code.

01
Push a change

Update a prompt, swap a model, or change tool logic. Relio intercepts before it reaches production.

git push / CI trigger
02
Simulate 500+ scenarios

Relio runs your agent through adversarial, edge-case, and policy-violation scenarios at scale.

automated · parallel · fast
03
Diff behavior across versions

Compare refund rates, tool call patterns, hallucination rates, and decision accuracy between versions.

behavioral diffing
04
Block if risk spikes

If drift exceeds your threshold, deployment fails automatically. Fix it before it ships.

deployment gate · zero manual review

Built for teams shipping
agents that take actions.

If your agent can make an irreversible decision — approve a refund, trigger a payment, send an email, delete data — you need Relio.

AI customer support Agents handling refunds, escalations, and policy decisions at scale.
Finance automation Agents approving transactions, flagging fraud, or processing invoices.
Ops & workflow agents Agents triggering actions across APIs, databases, and external tools.
Internal copilots Agents with write access to systems your team depends on daily.
Not for: hobby builders, prompt playgrounds, or read-only LLM pipelines. Relio is for production agents where a mistake costs money.

Ship AI agents
with confidence.

We're onboarding design partners now. Join the waitlist and we'll reach out when Relio is ready for your team.

No spam. Built by Kaveri Mekala · Hyderabad, India