Databricks DataFramer is now a Validated Databricks partner.

AI Workflow Intelligence for accurate, high-value AI workflows.

Understand how AI is affecting your users and business. Make every AI-powered workflow more accurate, widely adopted, efficient, and valuable.

DataFramer AI Quality Loop DISCOVER DIAGNOSE OPTIMIZE HUMAN REVIEW Detected failures Monitored traces Problems library Alerts Prioritized findings Root cause analysis Clustered failures Prioritized fixes Trace diagnostics Human-aligned judges Expanded datasets Optimized prompts Cost-efficient models Evaluation suites Assigned traces Accelerated reviews Organized rubrics Structured feedback AI TRACES PRODUCT EVENTS USER ACTIONS EXPERT JUDGMENT Accuracy Adoption Cycle time Business value MEASURE
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Can you answer how AI is affecting your business and users?

AI’s accuracy and business value are hard to prove.

Teams cannot see whether AI workflows are becoming more accurate, more adopted, faster, and more valuable.

Important signals hide across AI traces and their root causes are hard to pin down.

Bad answers and AI behavior look successful on the surface. Even after you find one, pinning down the root cause can be hard.

Human review is slow and unstructured.

Domain experts know what good looks like, but their feedback gets trapped in spreadsheets, tickets, and one-off reviews.

Optimizations feel like risks.

LLM judges need calibration. QA datasets miss messy edge cases. Fixes can introduce regressions.

Continuous improvement is not continuous.

Reviews, evals, fixes, and rollout are stitched across tools. Lessons do not compound into reusable business context.

Better AI comes from connecting business outcomes, accuracy, and human judgment.

DataFramer turns scattered quality work into a connected operating loop.

Unify

Bring every part of the AI workflow together

Connect AI outputs, user behavior, feedback, workflow events, and expert judgment in one place to see how each step affects the user and business outcome.

Business impact

Tie the outcomes that matter to AI accuracy and quality

Measure accuracy, adoption, completion, speed, human effort, cost, and value across the full workflow.

Discover + Diagnose

Find accuracy deviations and important patterns in AI behavior

Surface known and unknown signals across thousands of traces, group related cases into clear findings, and investigate each one with full context.

Human Review

Turn expert review into reusable ground truth

Send traces to domain experts with full context. Their scores, rationales, and corrections become reusable ground truth for judge calibrations and future reviews.

Track + Validate

Track accuracy, regressions, and impact across user journeys

Watch Human-graded, AI Judge scores, and Judge-Human Alignment alongside adoption, completion, cycle time, cost, and business value.

Enterprise clarity with startup voltage.

Ready to make AI quality repeatable?