Test your AI in a room full of simulated customers.
Immerse your AI in realistic customer conversations and find the gaps early.
Trusted worldwide by leading AI teams
The Problem
Everything changes when real users enter the room.
What teams expect from their AI and how it actually performs with real users can be dramatically different.
AI success rate expectation
95%
In reality
45%
Your AI can encounter thousands of scenarios that traditional testing doesn’t account for.
See how your AI handles unexpected interactions.
Arato fills simulation rooms with realistic users and dynamic conversations to dramatically expand test coverage.
How Arato works
How a simulation room works
Arato creates the context, users, and conversations your AI needs to practice against, then analyzes what happens.
Generate simulation context
Define expected behavior and rules.
Build simulation scenarios
Create realistic users and situations.
Run simulations
Run thousands of adaptive conversations.
Analyze & scale
Trace recurring issues back to the conversations behind them.
Analysis depth
Understand what happened in the room, and trace it back to the original source.
Arato surfaces patterns across thousands of simulations and pinpoints the conversations behind them.
Surface system-wide patterns
See how your AI performs across thousands of simulations and identify recurring issues that would be hard to spot conversation by conversation.
Trace issues across the full journey
Follow an issue through the complete interaction to understand how it developed.
Track AI performance over time
Run ongoing simulations to see how your AI’s performance changes and catch new issues as they emerge.
Capabilities
Test your AI across any interface, no code access required.
Arato connects directly with your existing AI interfaces, making it easy to get started.
Business Outcomes
Deliver AI your customers can trust, with less work and faster launches.
Catch costly AI failures before they reach your customers and impact your business.
14 Days
6 Hours
Re-testing after AI changes dropped from two weeks to six hours.
95% Less manual QA
More than 2,080 hours of manual testing
replaced with autonomous simulation.
88% fewer post-launch UI/UX bugs
Problems surfaced earlier, before they
reached customers.
Industry Solutions
AI simulation rooms built for your industry.
Arato tailors simulations to customers and employee journeys most important for your specific industry.
Banking &
financial services
Validate mortgage guidance, payment flows, and other conversations where the wrong answer can create real risk.
Healthcare, benefits
& insurance
Check plan-specific answers and safety-sensitive conversations where accuracy really matters.
Customer support
& service
Stress-test resolution paths, tier-specific guidance, and escalations before customers hit a dead end.
AI-powered
products
Validate experiences across plans, languages, and user journeys before issues make it into production.
Customer Proof
What teams are achieving with Arato.
See how teams are using Arato to test more thoroughly and catch issues before they reach users.
Arato gives us confidence our AI assistant is ready for high-risk HR. The simulations surface real, actionable issues, showing not just compliance and accuracy, but how it actually feels to users.
Frequently asked questions.
Arato makes AI agents predictable before they reach your customers. We simulate thousands of realistic users, each with their own goals, personas and behaviors, and run complete conversations against your agent. Then we show you exactly where it succeeds, where it breaks, and why.
The ones that damage trust and create risk: hallucinated prices or policies, inaccurate or contradictory answers, security and guardrail bypasses, leaked personal data, missed escalations to a human, compliance gaps, and biased treatment of different users. It also catches regressions after a model, prompt or knowledge-base change, and complete journeys that break even when each step looks fine on its own.
No. Arato tests from the outside in, through the same interface your users have: web, mobile, voice or messaging. To get started we need a URL or endpoint, test credentials if there’s a login, and any context you can share, such as product docs, help center content or sample conversations.
Evals score your agent against a fixed dataset. Observability shows you what went wrong after real users hit it. Arato generates new, realistic scenarios and runs them end to end before launch, finding the long-tail failures that static test sets miss. It works alongside the tools you already use.
We check every answer several ways: against your ground truth (documents, knowledge-base samples or data shown in your app), for consistency within and across conversations, and against the sources the agent cites. Every finding comes with the full transcript, screenshots and a video recording, so you can verify it yourself. Repeated issues are grouped into a single finding, and when you mark a finding as a false positive, later runs learn from it.
Any AI that people interact with: chat, voice, WhatsApp, Teams, Slack, APIs and mobile apps. That includes agents that take actions, such as booking, filling forms or updating accounts, and internal copilots as well as customer-facing assistants.
Simulations use synthetic users and test accounts, never your real customers’ data. Arato is SOC 2 certified and externally penetration-tested. You can use our cloud (US or EU hosting) or deploy Arato in your own cloud environment.
They start from your real customers. Arato can build personas, goals and flows from your historical conversations, research and product context, and you can review and edit every one. We then add the users your team rarely tests for, such as impatient, confused, multilingual or malicious ones, so you cover both everyday journeys and edge cases.
A readiness score, findings grouped by severity with evidence attached, and a fix plan your developers or coding agents can act on. Findings export to Jira, GitHub and other trackers. Rerun the same tests after a change to see what improved and what regressed.
Ready to prove how your AI performs with real users in the room?
Uncover what your current testing plan is missing.