
DeltaGen
AI-powered win-loss analysis for B2B enterprise deals.
Date | Investors | Amount | Round |
---|---|---|---|
investor | €0.0 | round | |
* | $1.2m | Seed | |
Total Funding | 000k |
Related Content
DeltaGen is a Seattle-based enterprise AI company founded in 2024 by CEO Rene Bystron and CTO Avinash Uddaraju. The company provides a platform that helps business-to-business (B2B) companies understand the real reasons they win or lose deals by automating in-depth buyer interviews. It targets mid-market and enterprise companies, including corporate development teams, private equity firms, and strategic acquirers, particularly those with complex sales cycles.
The service combines human expertise with artificial intelligence. After a deal closes, DeltaGen's platform can automatically schedule and conduct a 45-minute interview with the buyer using either a live expert, often a former strategy consultant, or an AI voice agent. The system is designed to go beyond surface-level feedback to uncover root-cause insights, which are then analyzed by AI to identify patterns and delivered as actionable recommendations. These insights are integrated directly into a client's existing CRM, such as Salesforce or HubSpot, and collaboration tools like Slack, providing a continuously updated intelligence dashboard. This process aims to eliminate manual workflow inefficiencies and provide objective, data-driven feedback to help sales, marketing, and product teams improve win rates, shorten sales cycles, and increase net revenue retention.
Bystron's background includes founding AI LaMo, a startup focused on prompt engineering education, which led him to identify the need for no-prompt, workflow-specific AI solutions. Uddaraju previously co-founded Gritly, a Techstars-backed company that was later acquired. DeltaGen launched in May, graduated from the Denver Techstars accelerator, and exited beta in the third quarter of last year. In February 2025, the company announced a $1.2 million pre-seed funding round led by Forward VC and B5 Capital to be used for sales, marketing, and product development.
Keywords: win-loss analysis, buyer intelligence, deal intelligence, sales intelligence, conversational AI, revenue operations, go-to-market strategy, B2B sales, enterprise software, AI voice agent, customer feedback analysis, sales cycle, churn analysis, competitive intelligence, product marketing insights, sales effectiveness, deal velocity, M&A automation, buyside M&A, RevOps