Most Campaigns Talk. The Best Ones Listen First.

Turn Scattered Life Sciences Data Into Actionable Clinical and Commercial Intelligence.

Why Standard Data Practices Fall Short in Life Sciences

When data isn’t unified, governed, or timely, the cost is high:
0 %
of data in Life Sciences organizations is unused for decision-making
0 %
of clinical trial delays stem from poor data access or integrity

What Advanced Data Management & Analytics Must Enable Today

Life Sciences leaders need platforms that unify, enrich, and activate data — across departments and across formats.

Unified Data Fabric

Seamless integration of structured and unstructured data across R&D, clinical, manufacturing, and commercial systems

Metadata-Driven Governance

Automated lineage tracking, audit trails, and stewardship workflows to ensure compliance and trust

Real-Time Access Layers

Role-based data views for scientists, medical affairs, sales, and compliance — no more email requests or Excel exports

Self-Service Analytics Portals

Drag-and-drop visualizations, cohort exploration, and dashboarding for non-technical users

AI/ML Models for Signal Detection

Algorithms trained on longitudinal data for forecasting, early anomaly detection, and pattern mining

Integrated Quality & Regulatory Analytics

Monitoring deviations, trends, and CAPAs with prebuilt connectors to LIMS, MES, and eQMS

Interoperability with Trial & Lab Platforms

Bi-directional sync with EDCs, CTMS, CDISC, and bioinformatics tools

Scalable Data Lakes & Warehouses

Cloud-native architecture for ingesting millions of rows from devices, wearables, EHRs, and legacy stacks

Insight velocity is now a competitive advantage — and it starts with a connected, compliant data backbone.

Why INT. Enables Data That Actually Drives Outcomes

We deliver more than dashboards — we build operational intelligence. Our approach connects deep domain understanding with scalable engineering, tailored for pharma and biotech.

Clinical-Grade Architecture

Secure, validated data pipelines that meet GxP, HIPAA, and 21 CFR Part 11 requirements by design

Life Sciences-Specific Ontologies

Prebuilt models and taxonomies aligned to MedDRA, SNOMED, and CDISC to speed up harmonization

Modular, No-Code Interfaces

Enable MSLs, clinical ops teams, or QA staff to query data, not just IT teams or analysts

Real-Time KPI Dashboards

Batch release status, trial progress, compliance metrics, or sales uptick — all viewable in one place

ML-Ready Data Engineering

Reusable feature stores and transformation layers for faster experimentation and reliable AI output

Plug & Play with Existing Tools

Native connectors for Veeva Vault, LabWare, Spotfire, Snowflake, Databricks, and more

Built-In Risk Scoring

Automated red flags on data completeness, protocol deviations, or audit readiness levels

With INT., analytics isn’t just a department — it becomes your decision infrastructure.
case studies

Proof That Speaks

Featured

25%

lift in targeted HCP engagement

30%

boost in medical representatives' productivity

Get a Free Data Readiness Assessment

See how prepared your data landscape is to support faster trials, better decisions, and global compliance.

What’s included:

  • Current-state data architecture analysis
  • Governance and audit-readiness scorecard
  • Data science maturity and ML-readiness checklist
  • Integration and interoperability opportunity map

 

WHO WE ARE

At INT., excellence and innovation drive everything we do.

We go beyond maintaining operations—we empower businesses with data, insights, and best practices to stay ahead in an ever-evolving digital landscape.

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Offices Worldwide
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