AI for Smarter Pharma Commercial Decisions
Unlock actionable, predictive insights tailored to your brands unique objectives. Act faster, engage smarter, and drive measurable growth—without the complexity.
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Accuracy
Achieve the highest degree of precision by integrating HCO, HCP, patient and payer level data to gain a holistic market view
Speed
Reduce time to value with out the box pharma AI use cases or build your own applications with an easy to use no code platform
Flexibility
Empower sales, marketing and field teams with real-time, actionable insights directly within their working environments
Scale
Cost effective platform that allows for easy scalability of AI applications across brands, therapeutic areas and use cases
Purpose-Built
for Pharma
TOVANA’s deep expertise in pharma enables seamless deployment of sophisticated AI-driven applications for commercial operations. With a built-in ROI and performance measurement module, the platform continuously tracks success, refining strategies in real time to maximize impact and drive sustained growth.
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Robust Solutions for Every Commercial Need
Automate. Optimize. Measure
Ingest any number of data sources (APLD, SP, CRM) by any vendor
Automatically enhance data quality and transform thousands of features into rich AI-ready 360 data tables
Customize model specifications with zero code and run dozens of out of the box or custom algorithms
Support commercial operations with Targeting, NBA, Patient Finding, Omnichannel Optimization, etc.
Operational System
Delivers end-to-end business application to different users.
Continuously monitor performance and track KPIs
AI Built for Agility, Accuracy, and Scale
- Rapidly generate dozens of AI models tailored for your needs
- No-code model training and optimization
- Comprehensive analysis of thousands of HCO, HCP, patient, and payer attributes
- Real-time predictions and recommendations to act on latest market trends.
- Continuously refine AI models with latest data for utmost accuracy.
- Scalable infrastructure for easily add data sources, brands and use cases
- Continuously track performance and ROI to clearly measure impact
- Slow manual AI model development
- Data science expertise necessary for training and updating AI models.
- Fragmented data silos that are difficult to integrate
- Decision-making based on outdated reports rather than real-time intelligence.
- Models become obsolete without automated retraining and updates.
- One and-done projects that require significant manual work
- No effective way to measure impact and ROI
See Verix
in action!
Want to see how you can
improve HCP engagement
and grow revenue?