Qapitol QA

Pillar 01

AI Engineering & Agentic QE

Build AI in. Validate AI out.

AI changes the quality conversation. Traditional QA was built for systems that do the same thing twice — AI systems don't. We bring adaptive testing for non-deterministic systems, continuous structured evaluation, and engineered data instead of production-borrowed datasets.

For:AI Product LeadersML Engineering TeamsQA Architects

01

94.2%

SLM F1 on regulated policy documents

02

500+

Eval scenario templates

03

+40%

Pre-production defect catch rate

Offerings

What this looks like in practice

01

Agentic QE (AI in QE)

Agents that read requirements, design tests, run them, fix what breaks, and learn every cycle.

02

AI Evaluation (Evals)

Structured evaluation, scoring, and monitoring for AI systems — powered by QAVE + Qurator, with RLHF pipelines and SLM fine-tuning.

03

Synthetic Data Management

Production-grade synthetic data via the GenRocket partnership for QE, training, and analytics. 700+ generators, 10,000 rows/second.

04

Legacy Modernisation

AI-powered QE for legacy systems, AI-assisted code migration, and full transformation delivery.

Next step

Bring AI Engineering & Agentic QE to your team

Scope a pilot in one call. Outcomes defined upfront.