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PharmatePHARMATE

The AI Workbench for Pharma

An intelligent collaboration platform for drug R&D and manufacturing quality management
Upgrading from manual line-by-line work to human-AI collaboration with proactive AI delivery

Production DataQC DataRegsSOPsGraphRAG · Multi-Agent EngineDetect → Trace → Comply, automatedSmart ReportseCTD SubmissionQuality DashboardGMP Compliance
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Functional Modules
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Bilingual Terms
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Knowledge Domains
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AI Pharma Experts
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Tamper-Proof Audit Chain

Twelve Modules Covering Every Pharma Scenario

From protocol design to batch release, from data verification to submission preparation

Smart Protocols

AI-assisted protocol design: validation, process and stability study protocols drafted by AI and reviewed by experts.

AI DraftingTemplate LibraryCompliance Pre-check
View docs →

A Purpose-Built Foundation for Pharma

Not a repackaged general-purpose AI tool — built around the full CMC lifecycle and GMP quality systems

GraphRAG Compliance Brain

Quality knowledge organized as a knowledge graph — 27 knowledge nodes, 238 semantic edges, vector-embedding retrieval augmentation. Every AI answer is grounded and citable, dramatically reducing hallucination on pharmaceutical terminology.

  • Nodes + semantic edges
  • Retrieval-augmented generation
  • Citable sources

Multi-Agent CAPA Loop

Detection, tracing and compliance agents work in series: automatic CPP deviation detection → graph-based root-cause analysis → CAPA ticket drafting, with the full workflow automated and recorded.

  • Detection Agent
  • Tracing Agent
  • Compliance Agent

AI Assistant · Query by Chat

Query platform data in natural language — "What is the purity trend of the last 10 batches?" answered instantly. 22 slash commands cover high-frequency operations; type / to invoke.

  • Natural-language queries
  • Slash commands
  • Quick-query chips

Tamper-Proof Audit Trail

SHA-256 hash chains record every critical operation; log integrity is verifiable, meeting GMP data integrity (ALCOA+) and inspection requirements.

  • SHA-256 hash chain
  • Integrity verification
  • Multi-dimension filtering

The Efficiency Flywheel: Smarter with Every Use

Every use deposits reusable quality knowledge assets for your organization

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Data Ingestion

Lab and production data unified and governed into a high-quality AI foundation

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AI Drafting

Protocols, reports and submissions drafted by AI; humans review and decide

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Human Review

Experts gate critical judgments; e-signature trails keep accountability clear

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Knowledge Reuse

Output becomes organizational assets; expertise no longer walks out the door

↻ Output becomes organizational assets · Members reuse directly · Enterprise efficiency compounds

Compliance Built In, Not Bolted On

From policy to technology — safeguarding enterprise-scale AI adoption in GMP environments

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Compliance Built In

Every output stands up to inspection

ICH Compliance Pre-check

Submission-style reports automatically run review rules based on ICH Q8/Q9/Q10/Q11, presented on a red-amber-green risk board.

GMP-Aligned Quality System

Deviation, CAPA and change management flows embed GMP requirements; data integrity follows ALCOA+ principles.

Electronic Signatures

Deliverable approvals support e-signatures, aligned with 21 CFR Part 11 concepts.

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Access Governance

Every operation has clear boundaries

Fine-Grained RBAC

5 preset roles and 25 fine-grained permissions; role-based access control with permission inheritance.

Segregation of Duties

Responsibilities assigned by organizational structure; permission boundaries are transparent at audit time.

Full-Process Audit

Create, update, delete and approval events all recorded, filterable by resource, user and agent.

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Data Sovereignty

Your data always stays under your control

SaaS + On-Premise

Start fast with a SaaS subscription, or deploy on-premise with data fully inside your environment.

No External Dependencies

Front-end assets self-hosted with no external CDN dependency — fits intranet and air-gapped environments.

Never Used for Training

Without your authorization, business data is never used for model training or disclosed to third parties.

Let AI take over data and paperwork,
so pharma people can focus on R&D and quality

Book a product demo, or start a free POC