WisdomBridge assesses any AI solution or agent for safety, real capability, and return on investment — glass-box, not black-box. Every score comes with the evidence and the method behind it.
We don't build agents. We have no stake in the result. That is the point.
You're told an AI is 85% accurate. Measured how? On whose data? With the answer hidden inside a black box, 85% is a claim, not a fact.
No set size. No pass rule. No failure breakdown. Measured by the team that built it, on data they chose.
102 ÷ 120 correct outcomes on a private held-out set, with all 18 failures categorised by cause, dated, and reproducible.
A solution can be strong on one and weak on another. The scorecard grades all three separately — no single blended number hiding a serious gap.
Can it be trusted not to cause harm or break under pressure?
Does it actually do the job — on real tasks, not a scripted demo?
Is it worth what it costs?
What the AI is meant to do, the claims made about it, its architecture, and which model providers it uses.
Inputs, guardrails and data flow. We locate exactly where each claimed number comes from.
Task sets built from your real domain, including a private held-out set that cannot be trained on or gamed.
Accuracy and capability tests, an adversarial safety red-team, robustness checks, and for agents a trace of every tool call and reasoning step.
Each metric computed with a shown formula. “85%” always arrives with what was counted, out of what, on which set.
Findings, evidence, a grade per dimension, and the specific issues to fix before you trust it.
Models drift and update. Results are time-stamped and can be re-run, so a grade stays honest.
Tell us what the AI is meant to do and what is being claimed about it. We will tell you what it actually does.
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