The human node automation can't replace
Trust, usefulness, safety, domain expertise. Technical metrics don't capture them: an output can be correct and still sound cold.
Five products to validate your AI where it truly matters.
Discover the 5 products
Let's start from your needs
No fixed price list: every project is sized around your AI system and quoted case by case.
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Over 400 teams validate digital products with UNGUESS
Which of these questions can't you answer today?
Five products, one single logic. Tick the questions still open about your AI: you'll find them in the form, ready to send.
AI Experience Audit
Behavioral validation with end users
The problem
Algorithms can be mathematically correct yet create frustration or distrust in real users, leading to a low adoption rate.
How we solve it
We test with a real sample of users to measure trust, the clarity of the output and its actual usefulness in the daily workflow.
- Who works on it
- 30–150 testers
- Timeline
- 2–4 weeks
- When you need it
- Pre-launch · after a redesign · target change
The valueLaunch with evidence on perceived quality or a prioritized fix plan before going to production.
AI Quality Gate
Structured QA of AI outputs at scale, with calibrated and repeatable human judgment.
The problem
Quality shifts with every update, and an improvement in one area is often an invisible regression in another. Without oversight, problems are discovered by users: too late.
How we solve it
QA experts evaluate prompt-response pairs against calibrated, comparable rubrics. Every judgment is traceable and builds the ground truth to calibrate an LLM-as-judge. Supports A/B, regression and monitoring.
- Who works on it
- Crowd of QA experts
- Timeline
- 48–72 hours
- When you need it
- Every release · A/B test · monitoring
The valueMeasurable releases and defensible quality from one version to the next.
AI Security Testing
Security assessment of AI systems: from the model to the agentic architecture.
The problem
An AI that accesses data, makes tool calls and integrates with the infrastructure requires verification against AI-specific vectors: prompt injection, jailbreak, data leakage, agentic compromise. Traditional pentests don't cover them.
How we solve it
Certified ethical hackers run manual and semi-automated tests with a modular scope: model-level (injection, jailbreak), application-level (guardrail bypass), agent-level (tool abuse, RAG poisoning).
- Who works on it
- 2–5 ethical hackers + architect
- Timeline
- ~1 week
- When you need it
- Pre go-live · pre audit (EU AI Act Art. 15)
The valueStructured evidence for the security sign-off and for compliance audits.
AI Domain Expert Validation
Review of AI outputs by certified professionals from the target domain.
The problem
An AI in regulated fields must meet the technical, regulatory and professional standards of the sector. An answer that seems plausible to a layperson can be dangerously wrong to someone who knows the rules.
How we solve it
Verified professionals evaluate outputs against custom rubrics, with consensus scoring and a technical rationale for every flag. On request, they produce a domain gold standard for fine-tuning.
- Who works on it
- 5–30 experts
- Timeline
- 2–4 weeks
- When you need it
- Regulated pre go-live · fine-tuning · audit
The valueTechnical sign-off from domain professionals, reducing regulatory risk.
AI Readiness Audit
How ready your product is to be read, interpreted and used by external AIs.
The problem
More and more users reach the product through an intermediary AI. If the external AI reads it wrong, compares it in a distorted way or misuses the service, the customer is lost without anyone noticing. This applies even to those who haven't built an AI of their own.
How we solve it
Real users query the leading AI systems on tasks involving the product (reading policies, comparing offers, filling in forms) and we pinpoint where they go wrong and what to fix. It's not SEO: SEO is about being found, Readiness is about being used well.
- Who works on it
- Real users
- Scope
- Custom
- When you need it
- Product that is public and comparable via AI
The valueTake control of an acquisition channel that is today invisible and unmanaged.
No questions ticked yet.
Complete your requestEvidence, not opinions
What you get
- Quantitative report on AI performance (Hallucination Rate, Bias)
- Map of the issues encountered by real users
- Recordings and direct feedback from the expert crowd
- Executive Summary with prioritized corrective actions
- Benchmarking against market standards
A logic shared across the five products
We don't sell generic "AI testing". We sell the human contribution automation can't replace, injected into your product development cycle.
- Human and real
- We involve only profiled testers, experts or end users, never disguised automation. The feedback is authentic and grounded in the real usage context.
- Structured and repeatable
- Every test follows scientific protocols that turn subjective perceptions into objective data, ready to be integrated into your backlog.
- Testing in parallel, all over the worldReal users validate your AI across multiple time zones and markets.
- A dedicated team by your sideWe guide execution, present you the evidence and propose the next steps: you always know where to act.
- Coverage that follows your sprintsWe scale resources to your release cycle, your time zone and your market, for faster and more targeted feedback.