01 / Determinism
No expected output
Traditional QA tests against a known result. AI doesn’t produce the same output twice. You can’t write a passing condition for a non-deterministic system — the premise breaks down.
For QA & Testing teams
How do you test for infinity?
AI is non-deterministic. Potential inputs are endless.
Users may take virtualy infinite paths. Arato replaces manual and scripted testing with autonomous simulations – running thousands of realistic user scenarios against your AI, automatically, before every release.
1,000s
scenarios per run
Hours
not weeks
No
Integration Required
Any
LLM stack
The problem
Existing tools were built for deterministic software. AI isn’t.
Traditional QA works when 2 + 2 = 4.
AI doesn’t produce the same result twice – and no one gave QA the tools to handle that. Until now.
02 / Coverage
Unscriptable input space
Conversational inputs, infinite user paths, subjective outputs. Fixed datasets barely scratch the surface. Even automated scripted testing can’t reach what it can’t anticipate.
03 / Dimensions
New dimensions, no binary
Tone, bias, safety, brand alignment — none have pass/fail states. Most tools sold as “AI testing” test software using AI. That’s a different problem entirely.
The shift
Simulation replaces test cases.
Not a better version of manual QA.
A fundamentally different approach built for how AI actually fails.
Manual QA & test cases
Yesterday
×You write fixed inputs. AI outputs aren’t fixed.
×Coverage limited to scenarios you thought of.
×Functional accuracy only — tone, safety, bias untested.
×Can’t scale with release cadence.
×Failures surface in production, not staging.
Arato simulation
Today
✓Define the goal — Arato generates thousands of realistic scenarios.
✓Covers expected, edge, adversarial, and malicious users.
✓Scores accuracy, tone, safety, compliance, and brand alignment.
✓Runs autonomously on every release, in hours.
✓Failures caught before a single user is affected.
How it works
Simulation, not scripts.
You define what your AI should do.
Arato simulates who will use it – and finds where it breaks.
Step 01
Connect to your endpoint
Point Arato at any UI – staging, test, or production. No SDK, no credentials, no pipeline changes. Works with any LLM stack, tested through your interface just like a real user.
No code access requiredStep 02
Define intent. Arato builds the scenario space.
Give us context, we will understand business logic and use cases. Arato generates thousands of interactions across a full persona matrix -expected users, confused, adversarial, edge cases, malicious actors – tailored to your system.
Step 03
Simulation runs. Every dimension scored.
Each persona interacts across multi-turn flows. Arato evaluates outputs against your guidelines – not string matches – scoring accuracy, tone, safety, compliance, and UX quality. At scale. In hours.
Step 04
Detailed system analysis- with evidence.
Arato’s analysis gives you prioritized findings, failure patterns, and risk density. Not logs to dig through – a report every stakeholder can act on. QA owns the answer.
What you get
The Readiness Analysis.
Not logs to dig through. A structured, prioritized report that every stakeholder – QA, product, legal, leadership – can read and act on.
Conversational UI Testing Report
247 scenarios · 13 persona types · Completed in 4h 22m
177
Findings
12
Critical
22
High
Security & compliance
Critical PII exposure — full residential address disclosed.
Injection vulnerability across 2 adversarial personas.
Policy override possible via prompt chaining.
User experience
Vague time estimates for impatient persona type.
Off-brand tone in 14% of edge case scenarios.
Instruction following strong at 97/100.
Accuracy & consistency
94% factual accuracy across expected personas.
Inconsistency on adversarial multi-turn flows.
Coherence score 91/100 on complex workflows.
Every dimension we test:
Accuracy
Safety
Compliance
PII exposure
Brand alignment
Tone & coherence
Adversarial resilience
Bias & fairness
Multi-turn consistency
Instruction following
Edge case coverage
Latency & UX quality
Aligned with the EU AI Act, ISO, and NIST frameworks. Every run produces an auditable trail for legal, compliance, and enterprise stakeholders.
Who gets simulated
Not just the user you designed for.
Any kind of real user your AI will encounter – including the ones no test script would ever reach.
Expected
Standard user, clear intent — the happy path you designed for.
Edge case
Unusual inputs, ambiguous goals, off-script behaviour.
Adversarial
Actively probing and stress-testing your system’s limits.
Malicious
Injection attacks, data extraction, privilege escalation.
Plus bias testing across demographics, cultures, languages, and roles — fully customised to your system and workflows.
The value
From test execution to strategic ownership
AI quality has defaulted to developers and data scientists because no QA-native tool existed. Now one does.
For QA engineers
Own AI quality — a role that’s been defaulted to developers because no QA-native tool existed. Now one does.
Simulation handles execution. You focus on analysis, pattern recognition, and strategic recommendations — the work that makes you indispensable.
Become the person who answers “is it ready?” with evidence, not instinct. That’s a career-defining capability.
What used to take a team weeks of manual testing, Arato runs in hours — autonomously, on every release.
For QA leads & VPs
Right now, AI shipping decisions happen around QA. Arato changes that — QA becomes the gate, not the bottleneck.
Models change. Prompts drift. Arato runs regression-grade simulation on every iteration automatically — without manual effort scaling with it.
Produce a Readiness Analysis that product, engineering, compliance, and leadership all align on before every launch.
Catch bias, hallucinations, safety violations, and UX breakdowns in staging — not in the wild, in front of real users.
Objections, answered
Questions QA teams always ask us.
1
“We already have evals and LLM judges.”
Evals test what you anticipated. Simulation finds what you didn’t. Arato generates realistic user behaviour — not predefined cases — across adversarial and edge personas your eval suite never reaches. It also scores tone, coherence, and brand alignment that LLM judges weren’t designed for.
2
“We do manual QA. Won’t this just overlap?”
Manual QA covers the scenarios you thought of. Simulation covers everything you didn’t — at a scale no team can reach. It’s not doing the same thing differently. It’s covering ground that simply wasn’t coverable before.
3
“Does this require integration or code access?”
None. Arato tests through the UI — exactly as your users do. No SDK, no credentials, no pipeline changes. Compatible with any LLM stack, any environment.
4
“How long does a simulation run take?”
A full simulation with 1,000+ scenarios typically completes within a day. What used to take weeks of manual testing takes hours — and can run automatically on every release.
5
“What’s included in the free simulation?”
A scoped simulation run on your actual system. A full Behavioral Readiness Analysis. A 1:1 findings walkthrough with our team. No commitment, no cost.
Free first simulation
See exactly where your AI breaks. Before your users do.
We run a simulation on your system. You get a Readiness Analysis with prioritized findings, failure patterns, and a clear go/no-go signal. Zero cost. Zero commitment.
Book your free simulation →