An AI-Agentic Data Factory for Global Life Sciences.
We productise proven biopharma data engineering into a reusable framework. Eliminate the “data-to-insight” bottleneck with standardized, automated delivery.
The Challenge
The “Data-to-Insight” Bottleneck
Commercial, clinical, and regulatory datasets are fragmented and maintained through semi-manual processes. As volume increases, these workflows become operationally fragile, delaying evidence-based decision-making.
Fragmented Data Sources
Clinical, commercial, and regulatory datasets exist across disconnected systems with no unified model.
Inconsistent Structuring
Manual data entry and varied formatting creates unreliable datasets that erode analytical confidence.
Costly, Semi-Manual Maintenance
Teams spend 60%+ of their time cleaning and reconciling data instead of generating insights.
Delayed Commercial Insights
Slow data pipelines mean critical business decisions are based on stale or incomplete information.
The Solution
A Reusable, Plug-and-Play Product Framework
We industrialize how complex pharmaceutical data is processed. By codifying domain expertise and AI-assisted processing, we reduce operational overhead by ~40% while improving data consistency.
Orchestration Layer
Replace tightly coupled pipelines with a controlled, containerized execution engine. Each workflow unit operates independently, enabling parallel processing and fault isolation.
Selected Work
Proven Delivery in Biopharma
Leveraging 28 months of high-precision data platform delivery for international clients.
Why Us
Why Sogody AI?
vs. Traditional Outsourcing
We don't just sell hours. We deliver a productized framework that improves through reuse. Every engagement builds on the last, compounding value over time.
vs. Internal Teams
Avoid technical debt. We provide a continuously improving shared framework without the high fixed costs of internal builds. Scale up or down without hiring risk.
Domain Expertise
Specialized in Life Sciences. We understand protocols, indications, and regulatory requirements. Our agents are trained on pharma-specific ontologies and terminologies.
~40%
Operational Overhead Reduction
28+
Months of Biopharma Delivery
50+
Data Sources Integrated
How We Work
Scalable Engagement Models
Whether you need a focused single-dataset deployment or enterprise-level data operations, our Service-as-a-Product model scales with your complexity.
01. Pilot
Initial assessment, scope definition, and configuration. We audit your existing data landscape, identify quick wins, and deploy a focused proof-of-concept on a single dataset.
01. Pilot
Initial assessment, scope definition, and configuration. We audit your existing data landscape, identify quick wins, and deploy a focused proof-of-concept on a single dataset.
02. Implementation
Secure access, pipeline configuration, and AI activation. We integrate with your data sources, configure ingestion flows, and deploy AI agents for automated structuring.
02. Implementation
Secure access, pipeline configuration, and AI activation. We integrate with your data sources, configure ingestion flows, and deploy AI agents for automated structuring.
03. Operation
Continuous delivery of analytics-ready datasets and ongoing support. The factory runs autonomously with monitoring, alerting, and continuous improvement built in.
03. Operation
Continuous delivery of analytics-ready datasets and ongoing support. The factory runs autonomously with monitoring, alerting, and continuous improvement built in.