
Persana AI is transforming how B2B teams handle go-to-market operations by unifying fragmented data sources and deploying intelligent agents to automate complex workflows. With $2.3 million in funding and a growing community of 6,000 sales professionals, Persana has evolved from a simple email personalization tool to a comprehensive agentic platform that helps companies identify, reach, and convert their ideal prospects. In this episode of Category Visionaries, we sat down with Rush Shahani, Co-Founder and CTO of Persana AI, to explore how the company is building the operating system for B2B go-to-market processes. Topics Discussed: Persana's evolution from LinkedIn search platform insights to comprehensive B2B orchestration The shift from email personalization to predictive prospect identification and data unification How reinforcement learning creates customized AI models for each company's unique sales motion Building strategic partnerships with data providers to create a unified orchestration layer The company's approach to combating negative perceptions around AI SDR tools Persana's vision to become the operating system for all B2B go-to-market processes GTM Lessons For B2B Founders: Focus on data quality over feature quantity: Rush emphasized that their breakthrough came when they realized "the moat wasn't in the personalization. The moat was actually being able to predict who is the right to reach to, who are the right people to reach out to." Rather than competing on email generation features, Persana built their competitive advantage around superior data aggregation and intelligent prospect identification. B2B founders should prioritize building defensible moats around data quality and prediction accuracy rather than adding more surface-level features. Scale existing sales motions rather than replacing them: Persana takes a fundamentally different approach from typical AI SDR tools by focusing on amplifying what already works. As Rush explained, "We take your existing team's motion and then scale that to what you would have a team of 20 do." This approach preserves the human expertise and proven processes while automating the execution at scale. B2B founders should design AI tools that enhance and scale proven human workflows rather than attempting to replace them entirely. Build win-win partnership ecosystems: Persana's growth has been largely driven by strategic partnerships with data providers, where both sides benefit from the relationship. Rush noted, "You gotta think about how do you actually help your revenue, but you want to make sure they are getting the benefit of also being on Persana. We're giving them that visibility." Rather than viewing data providers as vendors, they created a partner ecosystem where each provider gains distribution and visibility through the Persana platform. B2B founders should structure partnerships as mutual value creation rather than transactional relationships. Leverage reinforcement learning for company-specific AI models: Unlike generic AI tools, Persana builds customized models for each client through reinforcement learning. Rush explained, "Through reinforcement learning we're actually able to take that data in. And as you continue using Persana, the more emails you send, the more outreach data we have... we're able to capture that data, make sense of it just for your company." This creates increasing value over time and stronger customer lock-in. B2B founders should consider how their AI tools can learn and adapt specifically to each customer's unique context and data patterns. Use community and social proof for organic growth: Persana has built a 6,000-person Slack community and leverages customer-generated content for growth. Rush noted, "There's some people that have made courses on how to use Persana that drives tons of traffic. So just building that organic ecosystem." They also created a certification program for GTM advisors who can sell Persana to their clients. B2B founders should invest in community building and enable customers to become advocates and educators for their platform. 72586b