Your personal AI data engineer
Connect your databases.
Tell DVIndex what you need.
It investigates, runs the analysis and explains the result.
Get answers you can check. Understand what a change could affect before you apply it.
See it in actionFrom a prompt to a result
Connect your databases, then describe the task in plain language. DVIndex finds the right tables, writes and runs the analysis, and returns an answer with the work behind it.
How DVIndex worksConnect your sources. Describe the task. Inspect the result.
Ask a question, investigate a problem or review a change. DVIndex works across your connected sources, using your company’s definitions and rules to guide the work.
Analytics
Get answers across your connected databases. DVIndex finds the relevant records, brings them together and runs the calculations. See the query, the result and where each finding came from.
Data engineering
Review the code that prepares your data. DVIndex checks changes in dbt, a tool for building tables ready for analysis, and traces which columns and tables depend on them. See the impact and any missing checks before you apply a change.
Data science
Explore trends, analyse text and test ideas. DVIndex writes and runs SQL and Python, keeping the code, results and source records together so you can check and reuse the work.
An answer you can trace.
A change you can review.
Built around your business
Table names don’t explain how your company works. Bring the meaning of your metrics, the relationships between your data and your team’s working rules into the task.
Work with tables, documents and files in one investigation. DVIndex reads their structure, brings the relevant records together and shows where each result came from.
Add your business rules, metric definitions, documentation and known data issues. DVIndex uses this context to interpret your request, choose the right data and make its assumptions clear.
Data lineage is the map of how data moves between tables and calculations. DVIndex uses that map to show what a proposed change could affect—and where the available information is incomplete.
Integration scope for launch
Our target launch integrations. Data access, change-impact analysis and other features will vary by connection.
87.68%DVIndex · published Pass@1
GPT-6 Astra high + Jev 1.13.0
View submissionSnapshot: . Best listed configuration for each selected system; five trials with hints. Models and prompts differ.
A selected comparison, not the full ranking. See the complete leaderboard snapshot ↗
DVIndex: 54 questions, five trials per question. GPT-6 Astra (high) with Jev 1.13.0 for classification, original DAB hints and tuned prompts. The published 87.68% Pass@1 averages answer accuracy across the tested datasets.
Results reflect each submission’s model, prompts and evaluation setup. Our public evidence includes execution traces, prompt assignments and disclosed reruns. System names identify their respective submissions; no affiliation or endorsement is implied.
Work with DVIndex
Tell us what you connect, what you need to know and what you want to improve.
For your data team.
