For Smarter Operations & Faster Innovation
Tredence helps life sciences organizations build resilient supply chains, agile manufacturing operations, and faster R&D innovation using AI and advanced analytics. With data modernization, digital twins, and predictive modeling, we bring together fragmented operational, clinical, and research data to create a unified intelligence layer that improves outcomes and drives competitive advantage.
Don’t just take our word for it!
“Our partnership with Tredence is ensuring that we can bring our business as well as IT folks up to speed in terms of upskilling.”
Executive Director of Innovation & Strategy
“Tredence demonstrates deep industry expertise which compliments their deep Databricks’ platform understanding. Coupled with Tredence' pre-built accelerators specifically in supply chain, we have gathered significant momentum together and I am confident of significant growth together in the near future.”
VP & GM of Healthcare & Life Sciences
Tredence works with leading Life sciences organizations to modernize supply chain, manufacturing, and R&D. AI-driven insights help bring fragmented data together, improving drug discovery, strengthening operations, and enabling faster, more cost-efficient innovation.
As data continues to grow and legacy systems slow progress. Life sciences organizations need data foundations that can scale and support AI. Modern platforms must be secure, flexible, and ready for advanced analytics. Tredence brings together research, manufacturing, and supply chain data through cloud-native modernization and domain-specific data models. This creates a foundation where AI can be applied to support discovery and day-to-day decision-making.
Our offerings include AI advisory, data engineering, and life sciences analytics. These capabilities help improve supply chain resilience, streamline manufacturing, and support R&D outcomes.
At the core is ATOM.AI, an accelerator ecosystem with over 150 AI and ML solutions and more than 12 GenAI agents. These accelerators help teams move from ideas to insights in weeks, not months. With strong domain expertise, we turn AI initiatives into practical and measurable outcomes for life sciences organizations.
Get decision-ready insights and drive transformation across R&D, clinical, manufacturing, and commercial operations through interoperable data ecosystems, unified models, and GenAI-ready architectures.
Modernize legacy systems to enable seamless interoperability across R&D lab instruments, omics platforms, supply chain planning, manufacturing systems, plus commercial CRM and sales data sources.
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Scale GenAI from vision to value using our “Foundry to Factory” blueprint that brings together accelerators, bots, and strategic analytics to deliver rapid insights. Drive self-serve adoption and sustainable transformation across R&D, clinical, and commercial functions with a modern lakehouse foundation and GenAI-led governance.
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Bring data from channels, platforms, and commercial systems into a single, consistent model. Providing omnichannel analytics, performance tracking, and clearer insights into HCP and patient engagement. Allowing teams to gain better control of their marketing data and make decisions faster.
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Bring together real-time insights, automated quality checks, and predictive models to support manufacturing operations that learn and improve continuously.
Gain real-time visibility, get intelligent alerts, and support decision-making across planning, sourcing, and fulfillment with AI-powered command center.
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Simulate the manufacturing shop floor in digital world. Run multiple scenarios to improve root cause analyses and gain targeted recommendations. Drive asset and batch throughput by predicting problems and taking proactive corrective actions.
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Speed up batch release and reduce review time by up to 60%. Automate data reviews, SOP checks, and exception identification using AI agents and LLMs, while maintaining compliance and consistency.
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Achieve 48× faster analytics and 98% lower query time with Tredence’s AI-powered Intelligence Hub. Built on scalable, real-time architectures, it delivers actionable inventory insights, automated root-cause analysis, and financial projections—enabling smarter, faster, and more connected supply chain decisions.
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domain, data, and technology experts
KPIs the unified healthcare domain data model
solution accelerators optimizing the care lifecycle
co-innovating with Hyperscalers and Data & AI ISVs for enterprise-grade transformations
with extensive customer recommendations across multiple engagements
We co-build and co-innovate with the leading cloud and AI leaders
Accelerating enterprise data modernization and AI innovation as a Databricks Elite Partner.
Driving business transformation with AI as a Google Cloud Partner for Retail & Wholesale.
Driving data and AI innovation as a Snowflake Elite Partner through AI Data Cloud services.
Driving scalable decision intelligence as a Microsoft Solutions Partner - Data & AI Azure expert.
Accelerating enterprise data modernization and AI innovation as a Databricks Elite Partner.
Driving business transformation with AI as a Google Cloud Partner for Retail & Wholesale.
Driving data and AI innovation as a Snowflake Elite Partner through AI Data Cloud services.
Driving scalable decision intelligence as a Microsoft Solutions Partner - Data & AI Azure expert.
A global biotechnology company used manual processes to review and integrate unstructured data and identify key opinion leaders (KOLs) who could amplify knowledge of their products.
The company worked with Tredence to develop a GenAI-powered graph analytics solution, based on Databricks, John Snow Labs, LangGraph, and NetworkX technology. The tool auto-extracts knowledge from 50K medical science liaison interactions and 30K publications.
Users can now analyze and visualize relationships between doctors and institutions, identify KOLs, and quantify their influence. The tool also enables biotech staff to use the right channel to interact with these experts at the right time.
80% reduction in manual efforts
30% increase in discovering top KOLs
400K records processed per disease area
80% overall solution automation
A multinational pharmaceutical company’s data and technology silos impeded its ability to identify trends, prioritize repairs, and plan scheduled equipment shutdowns. As a result, the company experienced high issue resolution timeframes and extended asset downtime that harmed production throughput and quality.
Leaders sought to deploy an asset traceability and maintenance optimization solution that would enable teams to proactively identify issues and enable predictive maintenance to enhance overall equipment effectiveness (OEE).
Tredence built and deployed a solution based on Azure and Databricks to ingest asset data and leverages a domain-specific asset and batch data model to enable asset optimization and predictive maintenance. An interactive asset traceability graph enables teams to rapidly identify assets and batches and related deviations and use graph analytics to zero in on critical scenarios.
In addition, a predictive model integrates with existing machine applications to schedule predictive maintenance, driving asset and batch throughput.
12% reduced asset mean time to failure (MTTF)
7% decreased asset maintenance costs
12% improved asset throughput
15% higher production uptime
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