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QGI
Blueprint use case Enterprise pattern

Life sciences research workflows

Connect scientific models, literature, experimental records, and governed research agents inside a private environment.

Scoped enterprise engagement · Suggested model mix: Approved scientific models, QGI Fusion, QGI Documents, governed agents, and provenance-aware memory.

Conceptual product interface. Final capabilities and availability depend on deployment.
What it is

Research teams need to combine specialized scientific models with literature and internal experimental knowledge without exposing proprietary data or losing the basis for a hypothesis. QGI approaches this as a governed application pattern rather than a standalone point solution.

Designed for Drug discovery and research operations.

Capabilities

Built around the work—not the demo.

01
Private AI

Private research workspace

Bring literature, experimental records, and approved scientific models into one controlled environment.

02
Research

Model and evidence fusion

Connect specialist model outputs with source literature and internal observations.

03
Provenance

Hypothesis provenance

Preserve which sources, tools, assumptions, and researchers shaped each candidate direction.

How it works

One governed path.

  1. 01

    Establish the research boundary

    Connect approved knowledge, models, tools, and identity controls without moving proprietary data outside the selected environment.

  2. 02

    Coordinate analysis

    Use governed agents to retrieve evidence, call specialist models, and expose unresolved questions.

  3. 03

    Record the research lineage

    Keep hypotheses tied to evidence, tool output, assumptions, and expert decisions.

QGI / Blueprint use case

Put Life sciences research workflows to work.

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