Today, we’re thrilled to announce that Battery Ventures is leading the Series B investment in Letter AI*, an AI-native, revenue-enablement and acceleration platform that is redefining how sales teams learn, prepare, and execute.

At Battery, we’ve spent years studying go-to-market software and have closely tracked the evolution of the sales enablement space. Sales enablement should be one of the highest-leverage functions in a revenue organization: ramping new hires, empowering reps to sell new products, and arming sellers with the latest positioning. Yet, it has historically. We think that fault lies with the incumbent technology stack which forces enablement teams to become “content custodians,” spending their days tagging, versioning, and policing content instead of driving sales outcomes. And reps view their enablement tool as a PDF repository at best, and a portal they’re forced to visit for hours of generic training at worst.

The timing for change has never been better. Revenue teams are under mounting pressure to reduce ramp time, prove ROI on enablement spend, and keep pace with product and messaging cycles that now move faster than any static training program can match. At the same time, foundation models have crossed the threshold where AI can power always-on training, coaching, and knowledge retrieval at enterprise.

Rather than being a static repository or yet another learning management system, Letter is built as a dynamic, AI-native system of record for all GTM knowledge. The platform ingests content and tribal knowledge from wherever it lives – Google Drive, SharePoint, Confluence, Slack, Gong*, you name it – then deduplicates, normalizes, and keeps it fresh and access-controlled. Customers designate “golden sources of truth,” and Letter AI only draws from approved, up-to-date content. This governed foundation is what makes everything else in the platform.

Because the underlying content is centralized and trusted, Letter unlocks a suite of revenue-accelerating workflows: AI-generated personalized learning paths, on-demand coaching and role-play with realistic AI buyer personas, an always-on AI assistant that reps use in Slack and during live calls, RFP automation that drafts cited answers in minutes, and AI-powered sales rooms that give buyers an interactive experience while surfacing competitive intelligence back to sellers. Instead of quarterly check-ins or one-off training sessions, Letter becomes a daily workspace embedded directly into how sellers ramp, prepare for calls, and close.

Critically, Letter consolidates what used to require a fragmented stack of point solutions. Customers are replacing their legacy CMS, LMS, roleplay tools, RFP software, AI video generation, and even internal GPT builds all with a single platform. We heard from a former top-ten customer of a legacy enablement solution who migrated off the incumbent entirely, moving tens of thousands of pieces of content to Letter in roughly two weeks. The economic and operational simplicity of this consolidation is a powerful driver of adoption.

Customers of Letter AI

In many Letter deployments, we’ve found the platform quickly becomes one of the most visible and impactful AI initiatives in the organization. Sellers, managers, and even adjacent teams turn to it daily for knowledge and coaching. We’ve heard from enablement leaders that “reps would riot” if Letter was taken away. One customer described reducing a task that used to take seven to ten hours down to under a minute; another expanded from 50 senior sellers to 5,000 users across 30+ countries within quarters of initial deployment. This kind of organic pull – reps voluntarily coming back for role-plays, AI Q&A, and digestible updates – is something we never heard with legacy enablement solutions. This level of engagement transforms enablement from a quasi-compliance function into something far more strategic.

The result is a fundamental shift in how enablement is perceived inside these organizations. When enablement is powered by a high-adoption technology platform that reps use voluntarily and frequently, enablement leaders regain a direct line to selling outcomes and can credibly evolve into a strategic “revenue acceleration” function.

Behind Letter AI is a team with which we’re proud to partner. The company was co-founded in 2023 by Ali Akhtar (CEO) and Armen Forget (CTO). Ali previously served as VP & GM of data & AI products at project44 and director of engineering for data & machine learning at Samsara, also holding 8 AI-related patents. Armen is a machine learning PhD who previously architected end-to-end MLOps infrastructure at project44. The two worked together for two years before founding Letter, and it shows in the tight alignment between their product vision and technical execution. Customers consistently highlight the team’s speed of innovation as a key differentiator.

We’re proud to lead Letter AI’s Series B and support Ali, Armen, and the team on this mission. Sales enablement has long been a category of unrealized potential due to disconnected and cumbersome technology solutions. Letter is proving that when you rebuild it from the ground up with AI at the core, sellers can go from tolerating enablement to depending on it. We couldn’t be more excited to partner with Letter AI as they build what we feel will become the system of record for how revenue teams learn, prepare, and win.