Provider Comparison Matrix
Candidates scored side by side across the evaluation dimensions defined for your decision.
Determine whether a provider, product, or technical solution can deliver under real operating conditions. We validate technology claims before they become contractual and operational commitments.
A signed contract turns a provider's claims into your operating reality. We are engaged wherever the cost of an unverified claim is highest.
Selecting between AI vendors
Evaluating an implementation partner
Reviewing a proposed system architecture
Validating a product before procurement
Supporting investment or acquisition due diligence
Reviewing an internal team's proposed solution
Investigating whether a solution is production-ready
Challenging a provider's performance claims
WHAT WE EVALUATE
We evaluate providers, products, and proposed solutions through a five-dimension framework covering the factors that determine whether an AI investment performs in production. Because we have built production AI systems ourselves since 2016, we assess claims the way engineers do: hands-on, against evidence.
We define the evaluation criteria and weightings around the operational requirements of each decision. The framework commonly covers technical capability, implementation, security, provider resilience, and commercial value.
Marketing materials and procurement questionnaires tell you what a provider says. Our verification methods establish what a provider can demonstrate — ten methods, applied as the decision and the available access allow.
We combine document review and architecture interviews with hands-on testing — structured demonstrations, benchmarking with representative data, and direct review of APIs, code, and deployments — and close with reference interviews and explicit validation of every material claim and risk.
HOW THE ENGAGEMENT WORKS
Evidence over impressions: every finding traces back to something we reviewed, tested, or verified.
We define the evaluation criteria and weightings around the operational requirements of your decision — before any provider is scored.
Technical documentation, proposed architectures, and provider interviews establish what is claimed and how the system is meant to work.
Structured demonstrations, defined test cases, and benchmarking with representative data — plus API, code, and deployment review where access allows.
Reference interviews and explicit validation of material claims, with every open risk recorded.
Findings consolidate into a comparison matrix and a recommendation — including the conditions under which it holds and the acceptance criteria to enforce it.
Concrete outputs your board, procurement team, and engineers can all act on.
Candidates scored side by side across the evaluation dimensions defined for your decision.
Findings and supporting evidence, written for executive and technical readers alike.
An explicit record of which provider claims held up under verification — and which did not.
An evaluation of the proposed or existing system architecture against your operational requirements.
Technical, operational, and commercial risks with severity ratings and recommended mitigations.
Measurable criteria to hold the selected provider to during implementation and acceptance.
Commercial and technical questions that strengthen your position before contracts are signed.
A clear recommendation, together with the conditions under which it holds.
There are no universal percentages. We define the evaluation criteria and weightings around the operational requirements of each decision — a safety-critical edge deployment weights the dimensions differently than a back-office automation. The framework commonly covers technical capability, implementation, security, provider resilience, and commercial value.
Both, in that order. Document review and architecture interviews establish what is claimed; structured demonstrations, benchmarking with representative data, and API, code, and deployment reviews establish what can be demonstrated. The deliverables separate validated from unvalidated claims explicitly.
Yes. We apply the same evidence standard to internal proposals, external providers, and implementation partners — and we support investment and acquisition due diligence where the technology is the asset being priced.
Before commitments become contractual. The engagement is most valuable at shortlist stage, but the deliverables — test and acceptance criteria and a negotiation question set — are built to strengthen your position through contracting and acceptance as well.
Decide what to build, what to buy, and where a combined approach wins.
Translate strategic intent into clear product requirements, system boundaries, and technical decisions.
Select the right combination of edge, on-premise, hybrid, and cloud infrastructure for your AI system.
We will establish what holds up under real operating conditions — before it becomes a commitment.
Validate a Provider or Solution