Lassie is a vertical AI company building agents that run the administrative back office of small businesses so owners can focus on their actual craft rather than paperwork. Its initial wedge is dental practices, where independent operators are buried in finance, billing, HR, and insurance work — high-volume, rules-heavy tasks that are tedious, error-prone, and expensive to staff. Lassie's thesis is that modern AI agents can finally automate these complex, multi-step workflows end-to-end rather than just assisting with them.
The product handles a chain of revenue-cycle and operations tasks: setting up electronic payment enrollments, matching incoming payments to insurers, patients, and claims (reconciliation), posting reconciled data into the practice management system, filing appeals, and producing reporting and follow-up work. Lassie says it posts roughly 98% of payments autonomously, escalating only flagged exceptions for human review, and integrates with existing practice systems without requiring workflow changes, all under HIPAA-compliant handling of patient and payment data.
Lassie was founded by Steijn Pelle and Frédéric Renken, who previously worked at Robinhood, Coinbase, Superhuman, and Uber. They built the company after observing firsthand how administrative burden was crushing small dental practices, and designed Lassie to deliver measurable time savings — the company reports providing customers with roughly 250,000 hours of labor savings per year. By mid-2026 it already worked with more than 700 practices across 49 states and generated over $10 million in annualized revenue, an unusually strong traction profile for a young vertical-AI company.
In June 2026, Lassie raised a $35 million Series A led by Andreessen Horowitz, bringing total capital raised to around $47 million. a16z general partner Alex Rampell joined the board, and advisors include former Robinhood CFO Jason Warnick and Dr. Ed Zuckerberg. The round reflects renewed investor conviction in vertical AI agents that own a specific, painful workflow in a fragmented industry and can expand from there.
Lassie sits within a broad 2026 wave of 'AI that runs the business' for SMBs, where domain depth, reliable autonomous execution, and trust in regulated environments create defensible moats. Its path forward likely involves deepening within dental and then expanding to adjacent service businesses with similar back-office pain. The risks are execution-oriented: autonomous financial posting demands extremely high accuracy, and scaling trust across thousands of practices in a regulated, money-movement context is non-trivial.