Letter AI Raises $40M for Sales Enablement
Revenue enablement platform Letter AI has pulled in a $40 million Series B. The company's tools are used by sales teams to automate workflows and improve performance. The round indicates strong market demand for AI-powered SaaS that can directly impact a company's revenue generation.
The $40 million Series B was led by Battery Ventures, a significant move considering it comes just four months after Letter AI raised a $10.6 million Series A. This rapid-fire funding saw Battery Ventures partner Brandon Gleklen join the company's board and gives the Chicago-based startup a post-money valuation in the hundreds of millions. The company was founded in 2023 by CEO Ali Akhtar, who previously led ML products at project44 and Samsara, and CTO Armen Forget, a software architect with a background in distributed backends and ML Operations. Their experience building AI for enterprise customers directly informed the creation of Letter AI, which they designed to be the sales enablement solution they wished their own teams had. Letter AI's "native AI architecture" is a key differentiator for investors, positioning it against incumbents like Gong and Seismic who are adding AI to older platforms. The company's new "Letter Compass" product embeds AI-driven coaching directly into a live CRM workflow, providing real-time, deal-specific guidance instead of static training materials. This deal reflects a broader trend in the NYC startup scene, where enterprise AI is attracting significant capital. In the first quarter of 2025 alone, NYC-based AI companies raised approximately $1.5 billion across 81 deals, creating a surge in demand for machine learning engineers and AI-focused product managers. For engineers considering a move from enterprise to the startup world, the path of founders like Akhtar and Forget is a common blueprint. Many successful technical founders leverage deep domain expertise from their corporate careers to identify and solve specific industry problems. The transition often involves a trade-off: sacrificing the structured environment and in-house tools of a large company for a faster pace and greater individual impact. The NYC ecosystem has a strong appetite for technically-proficient founders, with early-stage funds like Notation Capital and Work-Bench specifically focusing on enterprise-only AI and data-centric tools. For those not ready to leap, building a side project while employed is a well-trodden path, allowing builders to validate an idea and develop a prototype while maintaining financial security.
