Only 11% of companies have deployed agents in production (Deloitte, 2026) and 95% of pilots do not reach that phase (MIT).
We have the solution with QAi: teams of specialized AI engineers with a large-scale validation platform.
We create synthetic data to automatically simulate custom scenarios before going into production. You can have your AI agent reliably in production in 6 weeks with our method.
🔸 The Black Hole of Testing: On average, 70% of time is wasted on manual QA that doesn't scale
🔸 Fear of the False Positive: "It seems to work", but you don't have an objective metric to prove it
🔸 Cost Uncertainty: Token and latency costs threaten the ROI of your product (AI FinOps)
Generation of multi-turn synthetic conversations in text and voice:
Our differentiating factor and best ally for AI and QA teams to go into production with guarantees.
- We create synthetic conversations specifically designed to test rare or potentially malicious scenarios that could expose your products.
- Red Teaming and Edge cases: Our platform automatically generates batteries of "negative behavior" tests and edge cases to identify failure modes before they reach production.
- Diversity and Equity: We generate interactions covering diverse demographic profiles and languages to ensure your AI agent is fair and representative, avoiding biases from the database level.
- Multidimensional Validation: Each generated conversation is evaluated under six critical dimensions: functional quality, security, behavior, reliability, legal compliance, and cost.
Methodology - Validation in 6 weeks
Our QAi team conducts an initial assessment and discovery session to understand the map of challenges, gather requirements, and prioritize the use cases to be validated together with client teams.
How it works
Our expert QAi team operates under a state-of-the-art platform in agentic solutions testing and observability, easily integrable into your system in SaaS modality (via SDK/API) or on-premise version available on demand.
You will know at all times the versions, tests, test data generation, and production monitoring to adjust, iterate, and reliably launch your agent.
🔸 Executive scorecards
We translate technical metrics into business impact.
🔸 Preventive risk approach
We detect vulnerabilities before they escalate.
🔸 Integrated AI FinOps
We don't just measure quality. We measure profitability.
🔸 Design for continuity
The program lays the foundation for permanent monitoring.
ACCORDING TO MIT, 85% OF AI DEVELOPMENTS DO NOT REACH PRODUCTION.
And after the 6 weeks?
In week 7 you will be able to:
🔸 Scale use case with control, confidence, and traceability
🔸 Transparency and explainability regarding AI agent behaviors
🔸 Decrease reputational risk
🔸 Accelerate the ROI of each agent
🔸 Make decisions based on real data
🔸 Reduction of friction between teams
🔸 Transform AI into a governed asset
You decide how to continue. We offer a flexible QAi model with a platform.
