For Healthcare & Life Sciences to Improve Outcomes
Tredence helps leading healthcare and life sciences (HLS) organizations modernize their data and analytics ecosystems to enhance patient care and streamline operations. By integrating clinical, operational, and patient data with AI-powered intelligence, we enable smarter interventions, faster research breakthroughs, and better health outcomes—paving the way for a healthier tomorrow.
Don’t just take our word for it!
“Tredence has accelerators that can address different steps in the data flow journey. If you want to build data quality checks, do ingestions, create data models, enable semantic layers that can go into self-service consumption, they have built all these accelerators at every step in the journey. The combination of all these things is what made our journey faster.”
Division Director, Head of Data Architecture & Governance
“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’s risk scoring tools and workflow, gives us the opportunity to predict patients’ disease progression and the risk they will be admitted or readmitted to the hospital with emergency or other medical events. This information enables us to deliver targeted interventions, enhancing population planning and patient outcomes and reducing the need for costly emergency services.”
SVP of Data & Clinical Solutions
“Our vision at Marquee is to take this evolving technology and apply it to transform dental care while improving the patient and the doctor experience. Our partnership with Tredence supports this vision.”
Chief Executive Officer
“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 helps leading healthcare and life sciences organizations modernize data and AI ecosystems—turning fragmented clinical, operational, and supply chain data into real-time intelligence that powers better outcomes, faster innovation, and cost-efficient care.
As data grows and legacy systems hinder agility, healthcare enterprises need scalable, secure, AI-ready data foundations. Tredence helps unify siloed data through cloud-native modernization, deploy domain-specific data models, and activate AI-powered products for faster decisions.
Our offerings span AI advisory, data engineering, and analytics to enhance patient care, ensure product quality, and drive visibility across drug development and supply chains.
At the center is Atom.AI—an accelerator ecosystem with 150+ AI/ML solutions and 12+ GenAI agents that deliver insights in weeks. With deep domain expertise, Tredence turns AI potential into measurable impact for healthcare and life sciences.
We help HLS enterprises modernize data, deploy AI-powered solutions, and drive value-based care. From unified data models to predictive analytics and GenAI, our offerings enable personalized engagement, smarter operations, and faster outcomes, all backed by HITRUST-certified delivery.
Modernize legacy systems and enable seamless interoperability across EMRs, devices, and third-party data. Tredence helps assess data maturity, define migration strategies, and build AI-ready platforms that power smarter care.
Read more
Unlock GenAI potential with cloud-based healthcare platforms. Tredence enables rapid ingestion, 250+ data objects, 20+ clinical AI models, and EHR integrations—backed by built-in quality and governance.
Read more
Improve care delivery with predictive AI models. Tredence enables chronic disease management, cost optimization, and value-based care through tailored risk scores, cohort analytics, and operational insights.
read more
Deploy tailored healthcare analytics with integrated clinical, operational, and financial data. Tredence customizes AI and data models to improve care, streamline workflows, and drive enterprise-grade insights.
read more
We combine prebuilt ML models, domain-driven data assets, and tailored workflows to elevate care delivery, streamline operations, and drive value across provider, payer, and life sciences ecosystems.
Transform member journeys with HITRUST-certified accelerators. Tredence enables unified records, predictive care, AI-driven interventions, and hyper-personalized engagement through solutions like UnifyEM, PredictEM, CareEM, and EngageEM.
Read more
Optimize pharma supply chains with Tredence’s AI-powered command center. Gain real-time visibility, trigger intelligent alerts, and drive value across planning, sourcing, and fulfillment with built-in accelerators and industry data models.
Read more
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.
Read more
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 large senior-focused health and home company sought to create a 360-degree view of member information, consolidating data from multiple providers. The company’s member data was fragmented and siloed, harming clinical efficiency and outcomes.
Tredence developed an enterprise member360 data hub with data models, key performance indicators, and AI and ML risk models. The solution, based on Azure and Databricks, identifies unique individuals, normalizes data formats, and eliminates duplicate records across millions of data points.
The solution further integrates member, social determinants of health, and clinical data to reimagine workflow for clinical operations, actuarial, finance, and business intelligence teams. Staff gain risk-scoring tools and workflows to predict patients’ disease progression, deliver targeted interventions, and enhance operations.
33% reduced emergency room visits
40% improvement in the medical loss ratio
50% improved member engagement
95% enhanced patient satisfaction
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
-engagement-in-healthcare-in-2025.png)
