Life Sciences & Pharma Data Platforms & AI
We design data platforms, analytics systems, and AI solutions for Life Sciences and pharmaceutical organizations operating in regulated environments. Our systems support auditability, data lineage, and stable operation across laboratory and manufacturing processes.
Turning fragmented data into audit-ready data platforms
We design data architectures that integrate laboratory, manufacturing, and enterprise systems into consistent and traceable data environments. Our work includes data ingestion, transformation pipelines, and governance models aligned with GxP and regulatory requirements.
Data platforms built for regulated operations
Multi-system data integration
We connect SCADA, MES, ERP, and laboratory systems into unified data platforms supporting analytics and reporting.
Reduction in manual data handling
Automated data ingestion and integration eliminate manual processes and reduce the risk of inconsistencies in regulated environments.
Faster access to operational data
Structured data pipelines and integrated systems reduce delays in accessing laboratory and production data across sites.
Engineering capabilities for regulated data environments
We design and implement data platforms, integration layers, and AI systems for Life Sciences organizations, aligned with regulatory requirements, operational continuity, and multi-site scalability.
Data Platforms & Architecture
We design data platforms for regulated environments, enabling structured data access, auditability, and traceability across laboratory and manufacturing systems. Architectures support global operations and domain-based data ownership.
Predictive Maintenance & Equipment Monitoring
We build systems for monitoring laboratory and production equipment, combining IoT data collection with machine learning models for anomaly detection and failure prediction.
Integration & Data Governance
We integrate laboratory, manufacturing, and enterprise systems, enabling consistent data flow across SCADA, MES, ERP, and LIMS environments without disrupting operations.
Delivery process for data platforms in regulated environments
We design and implement data systems for Life Sciences organizations, aligning architecture, integration, and governance with regulatory requirements and operational continuity.
Data Landscape Assessment
We analyze existing laboratory, manufacturing, and enterprise systems, identifying data sources, integration gaps, and compliance requirements across the organization.
Architecture & Governance Design
We design data architecture, including Data Mesh or centralized models, along with governance rules covering access control, audit trails, and data lineage.
Data Integration & Pipelines
We implement data ingestion, transformation, and real-time pipelines, integrating SCADA, MES, ERP, and laboratory systems into a unified data environment.
Validation & Compliance Alignment
We validate data flows, access control, and traceability to support audit requirements, ensuring systems meet GxP and regulatory expectations.
Deployment & Scaling
We support deployment across multiple sites, enabling consistent data standards, scalability, and continuous system operation in global organizations.
"We had the opportunity to collaborate with InTechHouse on a technically demanding, time-sensitive project. Their team demonstrated strong engineering expertise, ensuring that hardware and software components were developed cohesively and aligned with system-level requirements.
InTechHouse proved to be a reliable partner, capable of executing complex hardware–software systems and successfully navigating regulatory qualification processes."
Selected case studies
Ready to discuss your next project?
The first conversation is focused on your product, challenges, and the most effective way forward.
FAQs
If you have additional questions or would like to discuss your requirements, feel free to get in touch with our team.
A data platform in Life Sciences integrates laboratory, manufacturing, and enterprise data into a single, structured environment. It enables consistent data access, auditability, and compliance with regulatory requirements such as GxP and FDA 21 CFR Part 11. Without a proper data platform, organisations struggle with fragmented data and limited visibility across operations.
GxP compliance refers to a set of regulatory guidelines that ensure data integrity, traceability, and reliability in regulated environments. For data systems, this means maintaining audit trails, controlling access, tracking changes, and ensuring that data can be reconstructed and verified during audits.
Data Mesh is a decentralized data architecture where data ownership is distributed across domains rather than managed by a central team. In pharmaceutical organisations, it allows different departments and sites to manage their own data while maintaining global standards for governance, security, and compliance.
Predictive maintenance uses data from sensors and equipment to identify early signs of failure. In laboratory and pharmaceutical environments, it helps reduce unplanned downtime, improve equipment utilization, and support maintenance planning without interrupting ongoing operations.
OT/IT integration connects operational systems such as SCADA and MES with enterprise IT systems like ERP and data platforms. This enables real-time data flow from production lines to analytics and reporting systems, improving visibility and decision-making without disrupting production processes.
Data lineage allows organisations to track where data comes from, how it has been processed, and how it is used. In regulated environments, this is essential for audits, as it ensures that every data point can be traced back to its origin and validated.
Discuss your product with our R&D team
This initial conversation is focused on understanding your product, technical challenges, and constraints.
No sales pitch - just a practical discussion with experienced engineers.
Share a few details about your product and context. We’ll review the information and suggest the most appropriate next step.