Qapitol Partners with GenRocket to Deliver Independent AI Assurance Driven by Advanced Synthetic Data
The partnership lets Qapitol independently evaluate and sign off on enterprise AI systems using GenRocket's governed synthetic data, so regulated institutions can produce audit-ready evidence without a single production record ever leaving their environment.
BENGALURU, India — July 16, 2026
Qapitol, an independent AI assurance firm for regulated enterprises, today announced a strategic partnership with GenRocket, the leader in Design-Driven Synthetic Data Generation. The partnership pairs Qapitol's independent evaluation and sign-off engagements with GenRocket's deterministic synthetic data platform — giving enterprises a way to prove their AI is safe to run, without exposing production data to do it.
Regulated enterprises are increasingly being asked a question they cannot answer: who independently verified this AI, and where is the evidence? Supervisory expectations on model risk, alongside frameworks such as the EU AI Act and ISO/IEC 42001, look for independent validation and inspection-ready evidence for AI systems in production.
But independent assurance has always carried a practical catch of its own. Evaluating an AI system properly requires large volumes of realistic, edge-case data — and handing production records to an external party is precisely what compliance teams cannot allow. Faced with that, assurance either goes shallow, or it stalls at the data-access conversation.
The Qapitol and GenRocket partnership removes the catch. In a combined assurance pipeline, GenRocket generates governed, rules-based synthetic data that Qapitol's independent evaluation and compliance workflows run against. Qapitol's assurance engagements can therefore go deep on real model behaviour — hallucination, drift, bias, adversarial robustness — without a single production record entering the process. The resulting evidence is captured alongside data provenance in one audit trail, mapped to the regulations that apply to the institution.
Independent Evaluation, Without the Data Handover
Traditional AI validation relies on copied or masked production data, which creates privacy risk, slows every engagement down, and makes external evaluation a compliance problem in its own right. With GenRocket generating the data, Qapitol can run complete evaluation suites entirely on synthetic datasets. Because GenRocket's Design-Driven approach generates data from predefined business rules and intelligent generators — not from production samples or probabilistic prediction — there is no production data exposure, no hallucinated values, and no re-identification risk. Independence stops being a data-access negotiation and becomes a workflow.
Evidence Mapped to the Regulation
Assurance is only useful if it answers the question a regulator actually asks. Working with an institution's risk and compliance teams, Qapitol maps each applicable regulation to the specific conditions, edge cases, and evidence it demands; GenRocket then generates the precise datasets needed to exercise them, with full referential integrity and repeatability. Qapitol's CHEQ compliance-evidence capability structures the results into an independent assurance record — evidence tied to the clause it satisfies, not a folder of test logs.
One Audit Trail, From Data to Sign-Off
Test data and AI assurance evidence are typically managed in separate systems, which makes end-to-end auditability difficult and leaves gaps exactly where an inspection looks. With GenRocket and Qapitol, enterprises govern the data alongside the assurance evidence — a single audit trail spanning data provenance, evaluation, and independent sign-off. For regulated industries including banking, financial services, insurance, and healthcare, that means the evidence is complete, connected, and inspection-ready.
What This Means for Regulated Enterprises
The combined pipeline is available across Qapitol assurance engagements — from an AI Exposure Snapshot that maps an institution's live AI and its top exposures, through a Sign-Off Programme that establishes an independent evaluation regime ending in a named senior signature, to Managed Assurance for continuous evaluation and quarterly sign-off across a production AI portfolio.
Availability
The combined Qapitol and GenRocket capability is available immediately through both companies and their partner networks.
About Qapitol
Qapitol is an independent AI assurance firm that helps enterprises prove their AI systems are reliable, compliant, and trustworthy. Combining deep technical testing expertise with regulatory intelligence, Qapitol independently evaluates, tests, and validates AI systems against standards such as the EU AI Act and ISO/IEC 42001 — and turns the results into audit-ready evidence for regulators, boards, and customers. Because Qapitol does not build or sell the AI it assures, its verification stays independent — the trust an AI vendor cannot provide for itself. Qapitol serves regulated enterprises across banking, financial services, insurance, and healthcare, with offices in Bengaluru, Hyderabad, Gurugram, and Dubai.
About GenRocket
GenRocket is the pioneer of Design-Driven Data and the technology leader for synthetic data generation. GenRocket's Quality Evolution Platform enables organizations to replace dependency on sensitive production data with governed, deterministic synthetic data across the entire software testing lifecycle. By combining intelligent data generation, automation, privacy protection, and enterprise governance, GenRocket helps organizations accelerate software delivery, improve software quality, reduce compliance risk, and enable modern testing at scale.
“Proving an AI system is compliant means proving it to someone who didn't build it — a regulator, a board, a customer. But independence has always come with a catch: to verify a system properly you need realistic data, and no bank wants to hand production records to a third party. GenRocket removes that catch. We can now run deep, independent assurance on governed synthetic data, the evidence is clean at the source, and nothing sensitive ever leaves the client's environment.”
“Enterprises want to validate their AI systems with the same rigor they apply to any mission-critical software, but production data dependency keeps getting in the way. Qapitol is doing the independent assurance work that regulated enterprises now need, and our deterministic synthetic data means they can do it without a single production record ever entering a test environment.”