Docquity Introduces Engage: AI HCP Intelligence Engine
Pune, India | January 15, 2026
Docquity, a Singapore-based health technology leader, unveiled Docquity Engage™, an AI and insights-powered HCP intelligence engine. The solution is designed to revolutionize life sciences engagement strategies across Asia. By leveraging real-world physician data, Engage enables teams to understand HCP preferences and behaviors in real time, thereby allowing for smarter and more effective outreach.
Life sciences marketers face growing challenges engaging healthcare professionals across digital and in-person channels. Consequently, Docquity created Engage to address these gaps. In addition, it combines artificial intelligence with behavioral insights from verified physicians, offering actionable guidance to optimize HCP engagement. The HCP intelligence engine provides real-time performance tracking, personalized recommendations, and measurable ROI, helping teams achieve higher engagement efficiency.
The platform integrates insights from over 500,000 verified physicians to provide a comprehensive understanding of engagement patterns. Moreover, by connecting with existing CRM systems, the HCP intelligence engine allows teams to move beyond basic activity metrics. Instead, it emphasizes contextual insights that inform decision-making and, therefore, improve campaign personalization.
Early use cases demonstrate significant operational improvements. For example, in the Philippines, Docquity recorded an 80% reduction in cost per HCP touchpoint. These results illustrate how AI-driven insights can enhance efficiency while improving engagement effectiveness. Furthermore, the data reinforces the value of adopting a robust intelligence engine to scale marketing operations in the life sciences sector.
Michael Clarin, Head of Life Sciences Insights at Docquity, highlighted that many teams struggle with engagement volume without understanding underlying HCP behavior. Therefore, Engage acts as an AI-assisted, automated platform. It translates raw engagement signals into actionable intelligence, enabling teams to target the right HCPs with content that resonates and drives meaningful interactions.
The HCP intelligence engine consists of four modules: Engage™ Compass, Signal, Dialog, and Impact. Engage™ Compass constructs AI-powered HCP profiles and segments audiences into actionable 360-degree groups. Meanwhile, Engage™ Signal tracks omnichannel interactions in real time, offering insights to adjust strategies quickly based on observed engagement trends.
Engage™ Dialog supports field teams by providing compliant scripts and guidance for optimal channels and timing. Additionally, Engage™ Impact measures engagement outcomes, linking HCP actions to tangible results such as knowledge gains, behavioral intent, or interaction frequency. Together, these modules empower life sciences teams to plan, execute, and measure campaigns more effectively.
Amit Vithal, Co-Founder and Chief of Growth at Docquity, noted that Engage enables HCPs to receive relevant content at the right moment. This, in turn, improves their decision-making in clinical practice. Furthermore, feedback from early deployments has guided enhancements to CRM integration and predictive models, ensuring the HCP intelligence engine evolves to meet user needs.
The launch coincides with a broader industry shift, as life sciences companies increasingly rely on AI and analytics for HCP engagement. In contrast, traditional methods often fail to unify fragmented data or generate actionable insights. Meanwhile, Docquity Engage merges real-world physician activity with AI-driven recommendations, creating a unified view that supports data-driven decisions.
Industry experts emphasize that intelligence engines like Engage help organizations personalize outreach, optimize resources, and maximize ROI. As a result, companies adopting this technology gain a competitive advantage by improving engagement metrics and facilitating meaningful interactions. Additionally, the platform supports compliance while enabling efficient engagement across geographically diverse HCP networks.
Overall, Docquity Engage represents a major advancement in AI-driven HCP engagement. By combining machine learning, integrated CRM data, and real-world insights, the HCP intelligence engine equips life sciences teams with tools to make smarter decisions. Consequently, it sets a new standard for personalized, measurable, and efficient engagement strategies across the region.