Platform · AI Evaluation

Know how your AI actually performs.

Measurement against the languages, contexts and users your system will really meet — reported honestly, including when the result is inconvenient.

A benchmark score in English tells you very little about how a system behaves for a customer in Lagos, Nairobi or Jakarta. We build the test sets and assemble the reviewers who can tell you the difference.

Dimensions

What we measure.

01

Language

Performance across languages, dialects, accents and code-switching.

02

Cultural context

Whether responses hold up against local norms, register and expectation.

03

Factuality

Accuracy on local facts, entities, institutions and current conditions.

04

Reasoning

Whether the system reasons correctly, not just fluently.

05

Safety

Harmful output, bias and failure modes specific to under-represented groups.

06

Domain expertise

Judged by practitioners in the relevant profession, not generalists.

07

Market knowledge

Documents, payments, regulation and processes specific to a market.

08

Real-world usability

Whether it works for the user with the device and connection they have.

Red teaming

Adversarial testing by people who know where the edges are.

Failure modes are local. The prompt that breaks a system in one language, culture or regulatory context often has no equivalent in another. We assemble reviewers who can find those edges because they live on the other side of them.

Sovereign AI

Evaluate AI where it will actually operate.

Sovereignty is not only about where infrastructure sits. It is also about who defines whether the AI works.

A bank may run a model hosted outside its country and still need to answer a harder question: does this system work for our customers, in their languages, under our regulations? That judgement has to come from inside the market.

Local languages and dialectsevaluated
Domain and financial terminologyevaluated
Cultural context and registerevaluated
Customer behaviour and expectationevaluated
Regulatory scenariosevaluated
Fraud and abuse scenariosevaluated
Customer-service interactionsevaluated
Domain expertiseevaluated
Pricing

What an evaluation costs.

$10k

Small evaluation

A scoped, one-off evaluation of a single system against a defined set of languages and use cases.

$50k

Enterprise evaluation

Broader coverage across multiple systems, languages and domains, with custom test sets and expert review.

$250k+

Continuous evaluation programmes

An ongoing programme: regression tracking across versions, monitoring and reporting on a standing cadence.

Final pricing depends on language coverage, the size of the test sets and how much expert review the work requires. Tell us the scope and we will quote against it.

Start an evaluation

Find out what your AI really does here.

Request an evaluation