Find the model that fits the work.
Compare AI models against task, deployment, sensitivity, scale, licensing, and cost. See the recommendation and the reasoning behind it.
Launch AI Fit FinderThe DataGrub operating idea
DataGrub builds explainable decision tools and operating systems for AI intelligence, legal operations, and complex workflows.
The work begins before the software.
START WITH THE PROBLEM
Choose the pathway closest to the decision in front of you. Each one leads to a practical tool or a controlled way to test the idea.
Match the work, data boundaries, deployment needs, licensing, scale, and cost to a defensible shortlist.
Compare AI fit →Find the friction in intake, routing, ownership, visibility, and governance before automating it.
Assess the workflow →Turn assumptions, risks, and architecture constraints into a bounded experiment before making a larger commitment.
Enter Systems Lab →LIVE PRODUCTS
Each product turns a complex operating question into a structured, explainable next move. No black-box recommendations.
Compare AI models against task, deployment, sensitivity, scale, licensing, and cost. See the recommendation and the reasoning behind it.
Launch AI Fit FinderDiagnose intake, routing, ownership, visibility, and governance. Leave with a maturity score and focused 90-day roadmap.
Launch the diagnosticSYSTEMS LAB
Reference architectures and focused experiments move through Signal, Prototype, Beta, and Customer Deployment stages.
Enter Systems LabTHE DATAGRUB METHOD
Better systems begin by defining the choice, the evidence it needs, and the people who must act on it.
Identify the decision, evidence, constraints, and uncertainty.
Make ownership, criteria, tradeoffs, and workflow visible.
Build the smallest secure architecture that proves the operating need.
Measure real use, expose failure points, and improve deliberately.
WHY DATAGRUB
DataGrub is an independent systems studio building practical tools for the space between strategy and execution. The work is evidence-led, deliberately explainable, and validated before it scales.
START A CONVERSATION
Interested in DataGrub, AI Fit Finder, Legal Front Door, or a system that needs to become clearer before it becomes larger?