ZynoviqTwo products. One source of truth.
Qualified professionals write and verify cases on professional work, each solved independently and tied to the law. From that one production system we sell two products: Professional Data, which improves a model or agent, and Benchmarks & Evaluation, which measures one. Training and test cases come from the same system but never from the same items.
The two products
| Professional Data | Benchmarks & Evaluation | |
|---|---|---|
| What it does | Improves a model or agent | Measures an AI system |
| What you receive | Expert-written tasks, verified answers, reasoning records, preference data, edge and ambiguous cases, failure data and held-out evaluation sets, in your schema with provenance, quality and licence files | Scores by capability, every failure with the correct answer and the rule behind it, a regression set, re-tests after every change, and adversarial scenarios designed to break the system |
| Who buys it | AI labs, model builders and agent companies | Software vendors, buyers of AI, enterprise AI teams and government AI vendors |
| How it is bought | A Data Mission built to order, or licensed packs and an expert case subscription; fixed price or subscription, quoted | A ladder from a free 25-case sample to a diagnostic, capability assessment, continuous evaluation, red team and benchmark licence; fixed price or subscription, quoted |
| Where the cases come from | The training pool of the production system | The held-out pool of the same system — never the same items |
| Start here | Professional Data · Request a dataset | Benchmarks & Evaluation · Build an Evaluation Mission |
The rule that keeps the two honest: data goes to builders, benchmarks to buyers. We never sell improvement data for a system whose benchmark score we publish. Training and test separation.
How the work is done
Behind both products is one method with four layers. They are not products; they are the steps that make a certified case useful and keep it useful.
- 01Ground truthQualified professionals write the case, solve it independently and tie the answer to the written rule.
- 02EvaluationYour AI attempts held-out cases; every answer is marked against the certified one.
- 03RegressionEvery failure becomes a permanent test, re-run after each change to your system or the law.
- 04Red teamProfessionals design adversarial scenarios to find the failures the benchmark has not yet found.
- How a certified case is made — the production workflow from requirement to release.
- Evaluation — what we mark and what you receive.
- Regression and the Regulatory Regression Service — re-tests after your changes and after the law changes.
- Red team — professional adversarial scenarios, not security testing.
Why not just your platform's testing
Enterprise software vendors and AI platforms increasingly provide native testing, evaluation and governance. That is useful: it runs test suites, tracks versions and records metrics. But a test is only as good as its expected answer, and for professional work that answer is a matter of professional judgment.
| Your platform | Zynoviq |
|---|---|
| Runs test cases | Supplies the cases and the professionally correct answers |
| Technical pass or fail | Professional correctness, with the rule behind each answer |
| Tied to one vendor | Vendor-neutral |
| Your own test cases | Held-out cases your AI has never seen |
| Static unless you update them | Refreshed when the law changes |
Your platform tells you whether the system passed the test. Zynoviq supplies the test, and tells you whether the answer was professionally correct. Most teams use both: their platform to execute, Zynoviq to define and judge.
What Zynoviq is, and is not
Zynoviq is
- A provider of expert-verified professional data for AI
- A benchmark and evaluation business
- A network of capability-qualified professionals
- Regression evidence for AI that changes, and for law that changes
- A professional red-team network
- Domain expertise, starting with Indian GST and SAP finance
Zynoviq is not
- A generic data-labelling company or freelancer marketplace
- An AI model, GPU or infrastructure company
- An AI implementation consultancy or generic AI agency
- A generic software testing company
- An SAP, Oracle or Salesforce testing company
- A certifier, auditor or assurance provider for AI systems
We certify our answers, not your system. What we do not do.
SAP, Oracle and Salesforce are trademarks of their respective owners. Zynoviq is not affiliated with or endorsed by them.
Ways to start
Every engagement begins with one workflow and one domain, so you see the quality of our work on your own AI before committing to anything larger. Every package is quoted.
What we sell — FAQ
Do we have to buy both products?+
No. Most customers buy one. Labs and agent companies usually start with data; vendors, buyers and enterprise teams usually start with an evaluation. The two are designed so that a lab that buys data can also measure whether it worked on a held-out benchmark. Professional Data · Benchmarks & Evaluation.
Are the four layers four products?+
No. Ground truth, evaluation, regression and red team describe how the work is done. What you buy is Professional Data or Benchmarks & Evaluation; the layers are the method behind both.
What does "independently reviewed" mean here?+
It means the expected answers are set by qualified professionals independently of the vendor of the AI being tested. It does not mean we certify, audit or approve your AI. Our reports are findings and evidence, not a certification or assurance. Conflict-of-interest policy.
Are you an SAP, Oracle or Salesforce testing company?+
No. We supply professional ground truth for AI that works in those systems, among others. We do not test the software itself and we are not affiliated with those vendors.
Do you need access to our data or production systems?+
No. Every case is synthetic, and we test only in test or sandbox environments. How tests run.