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SahAI Technologies
Sutra

Knowledge and regulatory intelligence for life science.

Sutra helps scientists, quality teams, and regulatory reviewers work with the documents and records they already rely on — with sources, confidence, and human sign-off built in.

  1. Documents & Records
  2. Existing Systems
  3. Sutra Intelligence Layer
  4. Draft Recommendations
  5. Reviewer Sign-Off
  6. Regulated Action
Illustrative flow. How regulated inputs move through the Sutra intelligence layer to a reviewer-approved action.
Why Sutra exists

Built for regulated environments where sources and sign-off matter.

Source-Grounded Answers

Every recommendation ties back to the documents and records it came from.

Human Oversight

Scientists, engineers, and regulatory reviewers keep decision authority.

Fits Regulated Workflows

Designed to sit alongside eQMS, DMS, MES, and submission systems.

Explainable Reasoning

Confidence and provenance surface with every output.

Designed for

Who Sutra is designed for

Illustrative examples across life science and regulated manufacturing.

Pharmaceuticals

Support scientific search, submission readiness, and manufacturing deviation review.

Biotech

Organize research knowledge, protocol history, and cross-study context in one operational view.

Medical Devices

Track design controls, technical file readiness, and post-market signal review.

Contract Manufacturing

Coordinate batch records, deviations, and CAPAs across sites and clients.

Regulatory Affairs

Assemble module readiness, gap tracking, and deficiency response drafts.

Quality Operations

Surface recurring quality patterns and route follow-up to the right reviewer.

Product family

The Sutra product family

Three focused products sharing a common regulated-intelligence foundation.

Sutra Intelligence

Scientific and operational knowledge intelligence.

Help experts find what they need across SOPs, study reports, protocols, and institutional records — with sources attached.

  • Source-grounded answers
  • Cross-document context
  • Confidence indicators
  • Reviewer workflow
Sutra Manufacturing

Operational manufacturing intelligence.

Surface quality patterns, prepare deviation and CAPA drafts, and give quality teams a clearer operational picture.

  • Deviation review support
  • CAPA drafting
  • Trend visibility
  • Batch context
Sutra Regulatory

Submission readiness intelligence.

Track module readiness, surface cross-references, identify gaps, and draft deficiency responses for reviewer sign-off.

  • Submission tracking
  • Gap identification
  • Cross-reference mapping
  • Response drafting
Architecture

How Sutra fits into regulated operations

Sutra complements existing systems by organizing knowledge, mapping cross-references, and preparing drafts that reviewers approve.

  1. Layer 01
    Regulated inputs
    • SOPs
    • Study Reports
    • Batch Records
    • Submissions
    • Deviations
  2. Layer 02
    Sutra intelligence layer
    • Retrieval with sources
    • Cross-reference mapping
    • Draft preparation
  3. Layer 03
    Draft recommendations
    • Cited answers
    • Gap lists
    • Response drafts
  4. Layer 04
    Human review
    • Reviewer approval
    • Adjustment
    • Sign-off
  5. Layer 05
    Regulated action
    • Submission update
    • CAPA action
    • Approved record
Illustrative architecture. Sources feed the intelligence layer; recommendations always route through human review before a regulated action.
Ecosystem

Technology ecosystem

Publicly available technologies Sutra can be designed to integrate with where appropriate.

  • Veeva Vault
  • Documentum
  • SharePoint
  • MasterControl
  • TrackWise
  • SAP
  • AWS
  • Azure
  • Google Cloud
  • OpenAI
  • Anthropic
  • PostgreSQL

Displayed technologies represent examples of systems Sutra can be designed to integrate with. Logos do not imply partnership or endorsement.

Engagement

How organizations can work with Sutra

  1. 01

    Understand

    Review current systems and reviewer workflows.

  2. 02

    Plan

    Identify high-value knowledge and readiness gaps.

  3. 03

    Implement

    Connect sources and configure oversight.

  4. 04

    Improve

    Refine using reviewer feedback and outcomes.

Design principles

Principles behind Sutra

Source Grounding

Answers cite the exact documents and passages that support them.

Confidence Indicators

Every output shows how strongly it is supported.

Reviewer Sign-Off

Regulated actions require an authorized human approval.

Audit Trail

Inputs, drafts, and approvals are traceable end-to-end.

FAQ

Frequently asked questions

Is Sutra a document management system?+
No. Sutra sits alongside existing DMS, eQMS, MES, and submission systems, adding an intelligence layer that helps experts work with the content those systems already hold.
Does Sutra make regulatory decisions?+
No. Sutra prepares drafts, surfaces gaps, and organizes evidence. Regulatory, quality, and scientific decisions remain with authorized reviewers.
How are answers grounded?+
Sutra Intelligence returns answers with citations to the underlying passages so reviewers can verify context before acting.
Can we start with one Sutra product?+
Yes. Intelligence, Manufacturing, and Regulatory can be adopted independently based on the most immediate operational need.
Does Sutra work with our existing eQMS or DMS?+
Where a supported interface or API exists, Sutra can be configured to read from and write drafts back to existing systems, subject to your validation processes.
Explore

Explore the Sutra platform.

Each Sutra product focuses on a different regulated workflow while sharing a common intelligence and oversight foundation.