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Query Engine walkthrough

One question across every record, answered with its sources

Ask once across batch records, certificates of analysis, reports and deviations. Each answer cites the records it came from, and follow-ups narrow it down to the cause.

See it on your own documents: we'll focus the demo on your process and priorities.

Transcript

What the walkthrough shows, step by step

The recording has no narration: it shows the product, with captions. Here is what's on screen, with the time each step starts.

  1. Projects

    Query Engine projects: a stability program review, a tech transfer to Site B, an annual product review and IND Module 3 pre-submission research.

  2. Records in scope

    1,284 records in scope. Ask about anything in your document library; every answer is cited to its source. A quality event: lots SL102-022, SL102-023 and SL102-024 reported CAR-positive cells below the 60% release limit, at 54%, 51% and 56%.

  3. One question

    Ask once across every record in scope: batch records, certificates of analysis, reports and deviations. “Three of the last twelve SL102 lots missed the 60% CAR-positive release limit. What is driving it?”

  4. Filter

    Narrow thousands of records to the few hundred that could hold the answer.

  5. A cited answer

    No single cause is confirmed yet. Four candidates are consistent with the records, each cited: a change of vector lot partway through the series, lower transduction efficiency at Day 1, an incubator temperature excursion logged in DEV-2318, and donor-to-donor variability in the starting apheresis material.

  6. A follow-up

    “Compare the vector lots used across those twelve lots. Does anything track with the CAR-positive results?” Sanai reads six vector certificates of analysis, traces the lot genealogy and matches vector lots to release results.

  7. Narrowed down

    The follow-up isolates one upstream material shared by every failing lot. The three failing lots are the only ones made with vector lot LV1234-L03, at 0.7 to 0.9 copies per genome against 1.6 to 2.4 for the nine lots made with LV1234-L02. The DEV-2318 excursion affected a lot that passed, so it does not explain the failures.

  8. Tone and format

    Set who the answer is for, how deep it goes, and ask for a graph: answers tailored to a research scientist, clinical operations or regulatory affairs.

  9. Every lot in one table

    Vector lot, vector copy number and CAR-positive result for each of the last twelve lots: nine conform, and the three made with LV1234-L03 do not.

  10. Where in the process

    “Show me where in the process this is happening, and chart CAR-positive by lot.” The process view, from Day 0 to release, pins the loss to a single step: copy number is already low at the Day 3 in-process test.

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