Key building blocks
VeriTuring brings together three core elements that organisations can reuse rather than rebuilding from scratch.
Trust scenarios
UK‑specific harms, regulatory contexts and operational risks captured as reusable test suites that reflect real deployment conditions.
Evaluation runs
Standardised tasks and metrics that can be applied across models and vendors, enabling consistent comparisons and longitudinal tracking.
Evidence reports
Procurement‑grade outputs for buyers, boards and regulators, presenting results in language that supports assurance and decision‑making.
Why we’re building VeriTuring
AI systems are moving into high‑stakes spaces – health, finance, public services and critical infrastructure – faster than our ability to systematically test them. Most UK teams are improvising with ad‑hoc scripts and manual checks, which is expensive, hard to reproduce and difficult to explain to regulators and customers.
VeriTuring is a UK‑oriented evaluation and assurance asset. It gives startups, researchers and public bodies a shared set of UK‑relevant scenarios, datasets and metrics, plus a transparent evaluation pipeline they can plug their models and systems into.
By lowering the cost and complexity of robust testing, VeriTuring aims to help UK teams build safer, more trustworthy AI systems – and to give regulators and assurance providers a common reference point for assessing them.
Who VeriTuring is for
VeriTuring is designed to support a wide range of UK organisations that need practical ways to test and evidence AI trustworthiness.
Startups & SMEs
UK AI startups and SMEs can use VeriTuring to test trust and assurance properties before deployment, generate evidence for customers and investors, and compare models or vendors on a common benchmark.
Researchers & universities
Academic groups can use VeriTuring as a shared dataset and evaluation platform for AI trust and safety research, and as a basis for new metrics, methods and assurance techniques.
Public sector & regulators
Public‑sector teams and regulators can use VeriTuring scenarios and metrics as a reference when procuring or assessing AI systems, and encourage suppliers to demonstrate performance on transparent, UK‑relevant tests.
Access model
VeriTuring is being developed under a non‑commercial track, with the aim of providing broad, open, non‑discriminatory access to eligible UK users. The core datasets, evaluation engine and documentation are intended to be made available under terms that allow wide reuse while protecting contributors and respecting legal constraints.
What VeriTuring offers
UK‑relevant datasets & scenarios
High‑value evaluation datasets and test scenarios across domains like health, finance, customer services and public services. Where appropriate, we include text, voice and multimodal interactions, with UK‑specific regulatory and cultural contexts baked in.
Benchmarks for trust & assurance
Standardised benchmarks and metrics that go beyond raw accuracy – covering safety, robustness, compliance and user‑impact dimensions – so different systems can be compared on a common footing.
Open access & integration
APIs and reference harnesses so you can connect your own models, agents or applications and receive structured evaluation reports. VeriTuring is being developed under a non‑commercial, broadly accessible model.
How it works
VeriTuring is organised into four layers. Together they form a reusable, transparent testbed for AI trust, integrity and assurance.
Datasets & scenarios
We curate and design evaluation scenarios drawn from UK‑relevant domains such as health, financial advice, customer services and public services. Scenarios are a mix of de‑identified real data (where lawful and ethical) and carefully designed synthetic or human‑authored tests, annotated with harms, risk factors and domain‑specific attributes.
Taxonomies & labelling
We use clear taxonomies for harm categories, bias, policy compliance and other trust dimensions. Labelling guidelines are informed by practitioners with experience in public‑service design and AI evaluation, to ensure tests and outputs are understandable and actionable.
Integration & reports
You will be able to integrate with VeriTuring via a simple REST API and client libraries, or by using pre‑built wrappers for common model and agent frameworks. VeriTuring returns structured reports summarising performance across scenarios and metrics, helping you identify weaknesses and track improvements over time.
Evaluation engine
For each scenario, VeriTuring runs your system’s outputs through a mix of automated checks and model‑based evaluators, with optional human review where necessary. We expose transparent metrics and scoring logic so results can be compared across systems and over time.
About inventVALLEY
VeriTuring is developed and operated by Invent Valley Limited, a UK‑registered company based in Greenford, London. Invent Valley focuses on applied AI and public‑interest digital infrastructure, with experience delivering large‑scale conversational AI, speech recognition and evaluation systems.
VeriTuring is being developed as a strategic, non‑commercial asset for the UK AI ecosystem, aligned with the UK Sovereign AI programme’s goals on trust, integrity and assurance.
Contact
If you are interested in collaborating, exploring VeriTuring, or discussing applied AI projects, we’d be happy to talk.
Email: verituring@inventvalley.com
Organisation: Invent Valley Limited, United Kingdom.