Letter AI is the world's first generative AI powered revenue enablement platform. Build and maintain all the collateral and training you need 10x faster with generative AI. Personalize instantly by vertical or individual customers using existing data. Ask questions in real-time to your own co-pilot with expertise in your data. Scale coaching with realistic and hyper-personalized AI roleplay. Reach out to learn more about how both large enterprise like Lenovo and Adobe and growing startups like Paro and DealerBuilt are delivering real value for their revenue teams using the Letter AI platform.
Founder & CEO of Letter AI. A decade of experience in AI across various roles - as VP of ML Products at project44, ML Engineering Director at Samsara, and AI-focused consultant at McKinsey. Reach out to talk AI, enterprise SaaS, sales enablement, or anything else!
Co-Founder of Letter AI, software engineer, architect and leader. I started my career in military/aerospace and moved to distributed backends and ML Operations. Currently obsessed with the endless possibilities of generative AI and helping our enterprise customers leverage this technology with minimal friction.
TL;DR: Letter AI empowers sales teams to create personalized enablement content using generative AI. Build and maintain sales assets and product trainings 10X faster using your existing docs and data, empowering reps to close deals instead of wasting hours chasing content.
👋 Hi we are Ali and Armen from Letter AI. We spent our careers building AI SaaS for enterprise customers at companies like Samsara and Cirrus Logic. As product and engineering leaders, we saw first hand how poor enablement led to time wasted and deals lost. We are building Letter AI to be the solution we wish our sales teams had.
Letter AI leverages generative AI to create interactive and personalized enablement content in minutes, all from your existing documents and data (requirements docs, marketing decks, videos, Gong recordings, etc.). We’re building:
💻 Here’s a demo of Ali building sales training in ~5 minutes for a product he previously launched using just 2 public blog posts and API docs. The results are on par with what took product, marketing, and sales teams weeks to develop!