Published capability, modality, licensing, or deployment information from a primary source.
AI DECISION WORKBENCH
Find the AI that fits the decision.
Set your constraints and receive an evidence-led shortlist. Every recommendation shows its scoring logic, tradeoffs, and source.
BETA VALIDATION
CATALOG REVIEWED AUG 2026
02
Your shortlist
Your constraints become the scoring model.
Complete the requirements and generate a ranked, explainable shortlist.
03
Shortlist comparison
Published facts are labeled separately from DataGrub judgment.
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How DataGrub scored this decision
The prototype uses a deterministic, weighted ruleset. Task fit is weighted most heavily, followed by deployment, priority, sensitivity, and operating scale. No vendor pays for placement.
Relative cost and operating tiers are directional. Validate current pricing, contracts, security controls, and model behavior with your own evaluation before production use.
EVIDENCE STANDARD
Facts, estimates, and judgment stay separate.
Directional cost, infrastructure, and operating complexity used for early comparison.
DataGrub’s explainable fit assessment based on the constraints you select.