AnterisLab
Public beta
The real-time policy engine for autonomous agents. Evaluate, pause, or block every action before it hits the real world — with zero-trust safety and a Warm-path decision latency under 15ms.
AnterisLab
Public beta
The real-time policy engine for autonomous agents. Evaluate, pause, or block every action before it hits the real world — with zero-trust safety and a Warm-path decision latency under 15ms.
Works with the stack you already run
Product
AnterisLab sits inline between your agents and the real world — payments, emails, database writes — and evaluates every action before it happens.
Action Guard
Every action scored before it runs
Real-time · under 15ms warm
Policy Engine
Plain-language rules, enforced
Versioned · zero-trust
Audit Trail
Millisecond-level agent records
Exportable · compliance-ready
How it works
Every action passes through the same pipeline — no exceptions, no shortcuts.
AnterisLab intercepts every action your agent attempts — HTTP requests, database writes, emails, payments — before the side-effect happens. Nothing passes the gateway unrecorded.
Each action is simulated, context-enriched, and scored against the policies you've written in plain language. Risk, cost, compliance and safety are evaluated in parallel.
Risky actions are paused for human review. Blocked actions never execute. Approved actions pass through with a tamper-proof audit trail attached. You decide the policy — we enforce it.
Live demo
A real-time stream of agent actions being observed, scored and enforced. No video — this is the engine, simulated live in your browser.
Capabilities · AI Act Ready
Representative figures from our reference deployment — the same guarantees your agents get on day one.
Wall of love
"AnterisLab let us ship our autonomous agent to production in 3 weeks instead of 3 months. The audit trail alone stood up to our own security review."
"We sleep better knowing every tool call is scored against our policies before it hits the real world. This is the safety layer we were building in-house."
"The policy engine is brilliant — we wrote our rules in plain English and they were enforced in under an hour. Zero trust for agents, finally."
"Latency is so low our users can't tell the guard is there. That's the whole game — safety that doesn't slow down autonomy."
"Kill switch actually works. We caught an agent about to send 40k emails and paused it with one click. Worth the subscription just for that."
"Our board asked for 'AI safety' in our last deck. AnterisLab gave us something real to show, not just buzzwords."
Comparison
Every team shipping autonomous agents ends up choosing one of these. Here's the honest math.
| Capability | AnterisLab us | Build in-house | Generic API gateway | No governance |
|---|---|---|---|---|
| Time to production | 1 day | 3–6 months | 2–4 weeks | — |
| AI-specific policy engine | ✓ Plain-language rules | ~ You design it | ✗ HTTP rules only | ✗ |
| Real-time action scoring | ✓ under 15ms warm, measured | ~ If you can build it | ✗ | ✗ |
| Tamper-proof audit trail | ✓ Millisecond-level | ~ Partial | ~ Access logs only | ✗ |
| 1-click kill switch | ✓ | ~ Partial | ✗ | ✗ |
| EU AI Act alignment | ✓ Transparency & logging controls | ~ Depends on you | ✗ | ✗ Liability on you |
| Ongoing maintenance | Included | Your team, forever | Your team | — |
| Realistic monthly cost | From €19 | €8–15k engineering | €2–5k + coverage gaps | The cost of one incident |
ROI calculator
Plug in your fleet. See the expected annual loss without a guard — and what AnterisLab costs in comparison.
The bad-action rate is the share of agent actions that turn out harmful (wrong payment, data leak, spam burst). Industry post-mortems suggest 0.001%–0.05% for ungoverned fleets.
Pricing
Start with a 14-day trial, upgrade when your fleet grows. No hidden fees, no surprise bills. Cancel anytime.
For indie builders shipping their first agent. 14-day free trial included.
For teams shipping autonomous agents to production.
For regulated industries & large fleets.
FAQ
Our published figure is a warm-path figure of under 15ms on the warm path, measured from our audit trail. Warm-cache decisions typically complete in about 15ms; the first call after a deploy (cold start) can take ~0.5–1s and keep-warm pings minimise that window. Every decision's real latency is visible in your dashboard under Live Guard — we publish measured numbers, not promises.
Nobody. The gateway is a hard inline checkpoint — agents, humans, and admins all pass through the same policy engine. You decide who gets to approve paused actions, but no one can silently skip the check.
In plain English. "Never send more than 50 emails in an hour" or "Block any payment over $1,000 without CFO approval". We compile these into enforceable rules with unit tests so you can ship with confidence.
Yes. We ship a TypeScript SDK (@anterislab/guard on npm, 0 dependencies) and a plain REST API for every other language — both wrap any tool-calling pattern — LangChain, LangGraph, CrewAI, Autogen, or your own orchestration. One line of code to wrap your agent's execute() function.
Customer data is stored in the European Union (Ireland). The application is deployed on Vercel in the United States; the database and its backups remain in the EU (Ireland). Self-hosting is available on Enterprise. We never train on your data. All payloads are encrypted at rest and in transit. Enterprise plans include dedicated infrastructure.
You choose the fail-open policy: either agents pause until we're back (safest) or proceed with local cached rules (fastest). A 99.9% monthly availability target on Scale and Enterprise, with service credits. Measured 90-day uptime is published on our Status page.
Start free. No credit card required. Production-ready in minutes.