$19.5M · AI + Pie

What they're building

Pie sells growth, not software, to Main Street businesses. Three products: AI Search does Generative Engine Optimization so a local auto shop or salon shows up when someone asks ChatGPT, Claude, or Perplexity for a recommendation; Growth automates customer acquisition campaigns across Google Maps, Yelp, and Nextdoor; and the just-launched Front Desk is an AI agent that answers the business's phone 24/7, takes bookings, and handles customer questions — a four-layer real-time voice stack (speech-to-text, LLM reasoning, workflow orchestration into the business's calendar/booking system, text-to-speech) that has to complete in roughly 300ms to feel human. The wedge is economic: local merchants have historically paid agencies $2,500-$5,000/month on long contracts for opaque marketing work, and Pie replaces that at a fraction of the cost. Distribution is the clever part — beyond direct sales, Pie embeds into vertical SaaS platforms like Tekmetric (15,000+ independent auto repair shops), reaching merchants who never respond to cold outreach. Claimed results: 100,000+ calls driven, customers typically seeing 15-20% year-over-year sales increases.

Why this matters

Two signals stand out. First, the founder-market fit is unusually literal: Syed Ali and Akhil Mantripragada ran new ventures at Toast (per Lightspeed's investment memo), shipping some of the first AI products small businesses ever used, and Syed spent years at Square before that. They collectively spent 15 years building SMB products and kept hearing the same thing — owners don't want more software, they want more customers. Second, Max Levchin (PayPal, Affirm) invested through SciFi VC and said the quiet part: 'Small businesses are notoriously hard to build for and even harder to reach, but the Pie team seems to have the rare combination of founder-market fit, distribution strategy, and product velocity to win this historically challenging market.' The market timing is the shift of local discovery into AI search. One regulatory wrinkle worth knowing: AI phone agents now face state disclosure laws (California's AB 2905, Texas's AI governance act), which makes compliance-aware voice engineering a real need.