The Proposition

Industrializing Pharma
Data Operations

Meet the
SogodyAI
Data Factory.

How it works

One Framework.
Every Domain.

Weeks 1-2
Week 3
Weeks 4-6
Weeks 7-9
Week 10

Ingestion & Harmonisation

Pre-built, source-aware pipelines continuously ingest and normalise clinical, regulatory, and organisational data into a unified model.

AI-Agent Structuring

Embedded AI agents extract entities and relationships from unstructured pharma content into queryable, structured data.

Validation & Quality

Automated validation agents cross-check outputs against internal and external references before release.

Orchestration Layer

Containerised workflows isolate and execute data operations in parallel across domains and clients.

Visualization (The Output)

Clean, validated datasets converge into a single source of truth—powering dashboards, reports, and decision-ready insights across domains.

SogodyAI

Built for Scalable
Data Operations

Domain Expertise

We’re native to clinical, commercial, and regulatory data. Our agents understand pharma terminology, protocols, and compliance needs.

vs. Traditional Outsourcing

Stop paying for one-off builds. Our reusable factory framework compounds value with every deployment.

SogodyAI Token

Data Sources
Integrated

Operational
Overhead Reduction

Months in Live
Life Sciences Environments

vs. Internal Teams

Standardized pipelines and agents reduce build-and-maintain burden. Scale up or down without hiring risk.

SogodyAI Background
The Tech Stack

Operational Across AWS, Snowflake, Databricks & Applied AI

Faster Insights

Life Sciences Teams Use SogodyAI For

’PHARMACEUTICAL
Cross-domain data consistency
Faster decision cycles
Reduced operational overhead
Scalable data infrastructure
’BIOTECH
Rapid data model setup
Lean data operations
Early-stage scalability
Reduced dependency on manual work
’CONTRACT RESEARCH ORGANIZATIONS (CROS)
Standardised multi-study data
Improved delivery reliability
Faster client onboarding
Reduced pipeline fragility
’HEALTHTECH
Structured data foundation
API-ready datasets
Continuous data refresh
Platform-ready outputs
’COMMERCIAL
Faster market visibility
Consistent cross-market data
Reduced manual reporting
Decision-ready datasets
Pricing

Stop Wasting on Hours.
Start Scaling Throughput.

The Pilot Plan

Best for: Proof of Value

  • Validate the model on a single pain point.
  • 1 Data Domain (e.g., Clinical)
  • Standard Connectors
  • Standard Extraction
  • Shared Support Desk
  • Weekly/Monthly Syncs

Factory Core

Best for: Operational Standard

  • Replace manual ops for a whole department.
  • 3 Data Domains
  • Expanded Sources
  • Custom RAG Pipelines
  • Dedicated Product Owner
  • Daily Updates

Enterprise Scale

Best for: Global Strategy

  • Industrialise the value chain globally.
  • Unlimited / Multi-Market
  • Custom Connectors
  • Proprietary Agent Development
  • Dedicated Data Squad (3 FTE)
  • Real-Time Event Driven
Case Studies

Proven Impact in
Life Sciences.

Harmonizing Global Clinical Trial <br /> Registries for Competitive <br /> Intelligence

Harmonizing Global Clinical Trial
Registries for Competitive
Intelligence

In Partnership with Bioloupe

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Pipeline Hardening: From Artisanal <br /> Workflows to Containerized <br /> Orchestration

Pipeline Hardening: From Artisanal
Workflows to Containerized
Orchestration

Client: A rapidly scaling clinical data provider expanding
its real-world evidence (RWE) tracking.

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Extracting Structured <br /> Outcomes from Scientific <br /> Publications

Extracting Structured
Outcomes from Scientific
Publications

Client: A life sciences intelligence platform scaling its
clinical data offerings.

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