Peer AI Names David Florez Vice President of Sales
Peer AI has appointed David Florez as vice president of sales to lead go-to-market execution and accelerate adoption of agentic AI across life sciences regulatory workflows.
For sales leaders, this signals a clear shift: buyers are moving from pilots to scaled AI programs in document-heavy, high-stakes processes. The window is open for solutions that reduce time-to-submission, increase quality, and fit into validation and governance requirements without slowing teams down.
Why this matters for sales teams
- Demand is shifting from "try" to "standardize." R&D, regulatory, and writing teams want measurable results in production, not experiments.
- The buyer pain is specific: regulatory documentation slows drug development. Think protocols, CSRs, narratives, INDs, IBs, and CMC.
- Winning requires trust: proof of validation, auditability, change management, and the ability to plug into existing systems.
- Sales motions need multi-threading across clinical, regulatory, quality, and IT from day one.
Florez brings six years of enterprise experience from Veeva Systems, where he partnered with pharma and biotech leaders across clinical, regulatory, and quality. His background scaling adoption of mission-critical technology in regulated settings aligns with what life sciences buyers expect from AI vendors today.
"AI implementation requires world-class technology and governance, validation, change management, and organizational alignment to drive change," said Anita Modi, CEO and co-founder of Peer AI. "David has deep life sciences expertise and proven go-to-market success helping customers through major waves of technology innovation."
"Being a true partner means being where the industry is headed," said David Florez, vice president of sales at Peer AI. "I've seen companies struggle with the same documentation bottlenecks, even with the world's best content and data management systems... It's an area ripe for change and Peer AI is leading the way."
What Peer AI sells (and why buyers care)
Peer AI deploys purpose-built, domain-specific AI agents with an intuitive interface that lets medical writers apply their expertise at key control points. Teams report saving thousands of hours while improving quality across pre-clinical, clinical, regulatory affairs, and CMC documentation.
- Use cases include protocols, CSRs, narratives, INDs, IBs, and plain language summaries.
- Top 20 pharmas and emerging biotechs are using the platform to speed up cycles while maintaining oversight.
GTM takeaways for selling AI in regulated enterprises
- Lead with outcomes by document family: time saved per CSR, error reduction in narratives, cycle-time gains for IND modules.
- Bring a validation and governance package: model risk management, SOP alignment, audit trails, and change control.
- Design pilots that mimic production: show fit with existing writing workflows, templates, and review processes.
- Create cross-functional champions early: Regulatory Affairs, Clinical, Quality, and IT Security.
- Land-and-expand with playbooks tied to adjacent documents and therapy areas once value is proven.
Meet the team and see it live
Peer AI will be at the DIA Regulatory Submissions, Information, and Document Management (RSIDM) Forum, Feb. 2-4, 2026. To learn more about the event, visit DIA. For product details, demos, or to book a meeting, visit getpeer.ai.
About Peer AI
Peer AI transforms regulatory documentation for life sciences through specialized AI agents that reduce drafting time while keeping medical writers in control. The platform automates creation across protocols, clinical study reports (CSR), narratives, investigational new drug (IND) applications, investigator's brochures (IBs), and plain language summaries. Peer AI serves pharmaceutical, biotech, and CRO organizations worldwide and is backed by top investors and industry veterans.
Media Contact
Roger That Communications for Peer AI
Roger Villareal
roger@rogerthatcomms.com
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