Top 10: Agentic AI Platforms in Life Sciences
Life sciences organisations are navigating an increasingly complex operating environment. They balance pressure to accelerate innovation, improve commercial performance, and deliver better patient outcomes while meeting evolving regulatory expectations.
As AI adoption matures across the industry, investment is shifting from isolated applications to connected platforms capable of supporting decision-making across medical, commercial, and patient-facing functions.
Healthcare Digital explores 10 AI platforms helping life sciences organizations modernise operations and unlock greater value from enterprise data.
Veeva Systems
Founded: 2007
Headquarters: Pleasanton, California
Employees: ~7,900
Global Presence: 150+ countries
Leadership focus: The industry's most established life sciences cloud platform
Few technology companies have become as deeply embedded within pharmaceutical operations as Veeva Systems.
Its cloud applications support clinical development, regulatory affairs, quality, medical engagement and commercial operations, making the platform a foundational part of digital transformation strategies across much of the life sciences industry.
The company continues to expand AI capabilities across its product portfolio while maintaining a strong focus on trusted data, compliant workflows and end-to-end process integration.
That combination of domain specialisation, enterprise adoption and continuous innovation reinforces Veeva's position as one of the most influential technology platforms supporting the modernisation of pharmaceutical organisations worldwide.
IQVIA OCE
Founded: 2016 (formed through the merger of IMS Health and Quintiles)
Headquarters: Durham, North Carolina
Employees: ~93,000
Global Presence: 100+ countries
Leadership focus: Data-driven customer engagement at global scale
Few organisations combine healthcare data, analytics and consulting at the scale of IQVIA, and Orchestrated Customer Engagement (OCE) channels that deep-dive into commercial execution.
Built on one of the industry's most comprehensive collections of proprietary HCP, prescription and real-world data, OCE connects sales, marketing and medical teams around a shared, data-driven view of the customer.
Rather than positioning AI as a standalone capability, IQVIA embeds predictive analytics and next-best-action intelligence directly into everyday commercial workflows.
The combination of proprietary data assets, global reach and established customer relationships keeps OCE a reference point for data-led engagement across life sciences.
ZAIDYN (by ZS)
Founded: 2021 (platform launch)
Headquarters: Evanston, Illinois
Employees: ~15,000
Global Presence: 70+ countries
Leadership focus: Connected intelligence across life sciences enterprise, emerging pharma and biotech
ZAIDYN is the Life Sciences Intelligence Platform built on an agentic architecture, proprietary life sciences ontology and decades of ZS data and expertise. ZAIDYN deploys domain-trained AI agents across commercial, medical, patient, clinical and content functions.
These agents continuously interpret signals, automate work, and guide decisions in the flow of work, helping emerging biopharma companies compete from day one and enabling global enterprises to turn coordination at scale into a durable competitive advantage.
ZAIDYN helps life sciences organisations get smarter with every brand, market and launch.
The platform is underpinned by more than four decades of ZS life sciences expertise, combining deep domain knowledge with AI models designed around the realities of life sciences operations.
Built by ZS, the platform connects data, analytics, and AI across commercial strategy, field engagement, medical affairs, patient services and content management, enabling organisations to respond more quickly to changing market conditions while maintaining governance in regulated environments.
ZAIDYN integrates with leading cloud and data platforms including AWS, Microsoft, Google Cloud, Databricks, Veeva, Salesforce and Snowflake, enabling organisations to get even more value from the technology investments they've already made.
Salesforce Life Sciences
Founded: 2023
Headquarters: San Francisco, California
Employees: ~83,000
Global Presence: Worldwide
Leadership focus: Connected engagement across the healthcare ecosystem
Life sciences organisations are placing greater emphasis on delivering more coordinated experiences for healthcare professionals, patients, and internal teams.
Salesforce extends its enterprise CRM heritage into the sector through purpose-built healthcare capabilities, enabling organisations to strengthen engagement across commercial and patient-facing operations.
The introduction of Agentforce and Einstein AI expands those capabilities further, bringing automation and AI-assisted decision-making into customer interactions, case management and workflow execution.
Supported by one of the world's largest cloud ecosystems, Salesforce continues to help pharmaceutical organisations modernise engagement strategies while connecting commercial intelligence with broader business processes.
Aktana
Founded: 2008
Headquarters: San Francisco, California
Employees: ~300
Global Presence: North America, Europe and Asia-Pacific
Leadership focus: AI-driven customer engagement
Aktana focuses on helping life sciences organisations orchestrate more relevant and personalised customer engagement.
Its AI-powered platform uses data and contextual signals to determine the next best action for field teams, helping them tailor interactions with healthcare professionals based on individual needs, preferences and engagement history.
The platform works alongside existing CRM and commercial technology environments, bringing intelligence into the engagement workflow rather than requiring organisations to replace their existing infrastructure.
By combining AI-driven recommendations with established customer engagement processes, Aktana helps pharmaceutical organisations make interactions more timely, coordinated and relevant.
Komodo Health
Founded: 2014
Headquarters: New York
Employees: ~800
Global Presence: North America
Leadership focus: Real-world evidence and patient intelligence
Real-world data continues to play an increasingly important role in clinical development, commercial planning, and patient engagement.
Komodo Health combines longitudinal healthcare data with AI-driven analytics to help life sciences organisations better understand patient journeys and treatment outcomes.
Its Healthcare Map platform enables pharmaceutical companies to generate evidence, identify care gaps and improve population-level decision-making.
As organisations seek to make healthcare more personalised and data-informed, Komodo's approach reinforces the growing importance of real-world evidence across the life sciences value chain.
OptimizeRx
Founded: 2006
Headquarters: Waltham, Massachusetts
Employees: ~130
Global Presence: North America and Europe
Leadership dimension: AI-powered point-of-care engagement
Reaching healthcare professionals and patients now for clinical decision-making remains one of the sector's hardest engagement challenges.
OptimizeRx addresses this through an intelligent technology platform embedded within a proprietary omnichannel network, connecting life sciences organisations with more than two million HCPs and their patients.
Its Dynamic Audience Activation Platform applies predictive analytics and machine learning to anticipate when patients become eligible for specific treatments, enabling timely, privacy-first engagement across HCP and consumer channels.
As a specialist messaging layer, OptimizeRx complements broader enterprise platforms rather than replacing them.
Model N
Founded: 1999
Headquarters: Redwood City, California
Employees: ~1,400
Global Presence: 120+ countries
Leadership dimension: AI-enabled commercialization and revenue intelligence
Life sciences companies face growing complexity across pricing, contracting, rebates, market access and compliance.
Model N provides an industry-specific commercial platform spanning revenue management, global pricing, market access and compliance, helping pharmaceutical and medtech organisations gain greater visibility and control across the commercialisation lifecycle.
Its Data nSights capabilities add AI-ready data, analytics and actionable insights to support faster commercial decision-making.
The platform is increasingly incorporating intelligent automation and AI into revenue operations, with Model N reporting that it manages US$1.3tn in gross revenue for life sciences customers.
Its 2026 acquisition of Kalderos further expands its gross-to-net and 340B intelligence capabilities, strengthening its role in helping manufacturers identify revenue leakage, navigate complex pricing environments and maintain compliance.
Within3
Founded: 2007
Headquarters: Lakewood, Ohio
Employees: ~130
Global Presence: North America, Europe and Asia-Pacific
Leadership dimension: AI-driven insights management for medical affairs
Medical and scientific engagement generates volumes of stakeholder insight that traditional processes struggle to capture.
Within3's insights management platform gathers, integrates, and analyses input from advisory boards, clinical discussions, and scientific communities, reducing insight reporting from months to days.
Powered by a life sciences-trained AI architecture and used across the top 20 pharmaceutical companies, Within3 occupies a focused position within medical affairs, where the ability to turn stakeholder dialogue into strategy-shaping intelligence has become increasingly valuable.
Tempus AI
Founded: 2015
Headquarters: Chicago, Illinois
Employees: 3,800+
Global Presence: 40+ countries
Leadership dimension: Agentic intelligence for precision medicine and drug development
Tempus AI combines multimodal real-world data, clinical-grade foundation models and AI applications to support precision medicine and life sciences research.
Its Lens platform brings these capabilities together for drug developers, enabling teams to explore patient cohorts, analyze complex clinical and molecular data and generate evidence to support research and development decisions.
The company's agentic AI strategy is becoming increasingly prominent through the next-generation Tempus Lens, which connects multimodal data, AI models, computational infrastructure and scientific workflows within a single environment.
Its Tempus One agent can assemble cohorts, generate feasibility analyses and produce real-world evidence while keeping researchers in the loop, positioning Tempus among the platforms pushing AI from analytical assistance towards active support for drug development workflows.
Shaping the future of life sciences
As organisations continue to invest in agentic AI, success will increasingly depend on their ability to integrate trusted data, domain expertise and responsible governance into everyday decision-making.
Generic AI tools can't fully address the complexity, regulatory scrutiny and scientific nuance unique to this industry. The platforms featured here reflect the range of approaches emerging to meet that challenge - from enterprise cloud ecosystems and real-world evidence platforms to purpose-built life sciences intelligence platforms designed to help life sciences organisations innovate with greater confidence, agility and impact.
