There's a certain irony in the benefits industry running on spreadsheets and PDFs. These are the firms managing healthcare coverage for more than 154 million Americans, yet they're still wrestling with data entry errors that can derail open enrollment season faster than you can say "duplicate dependent."
Pasito, a New York startup that thinks it has a better way, just raised $21 million in Series A funding to prove it.
The round, led by Insight Partners and announced February 3, includes participation from Y Combinator and MTech Capital. For a company that emerged from Y Combinator's Summer 2022 cohort, the backing represents a notable step up—and validation from insurers who've already started using the platform. Reliance Matrix, New York Life, and Sun Life are among the early adopters deploying Pasito's AI workspace across their benefits operations.
The Messy Infrastructure Problem
At its core, Pasito is tackling something decidedly unglamorous: turning unstructured benefits documents and employee census files into clean, usable data. The company ingests plan PDFs and spreadsheets, then constructs what it describes as a "normalized, auditable benefits data layer"—industry speak for a single source of truth that brokers, insurers, and consultants can rely on.
From there, the platform powers workflows spanning quoting, enrollment, and claims. AI agents—Pasito's term for its automation modules—handle tasks like generating plan comparison guides, building microsites for employees, drafting RFP responses, auditing documents, and sending claims reminders. The company says it's HIPAA-compliant, SOC 2 certified, and offers more than 1,000 pre-built integrations with existing systems.
CEO Pauline Roteta, who spent years as a portfolio manager at BlackRock before jumping into the benefits sector, frames the problem as one of broken infrastructure. "We're replacing fragmented, manual processes with a centralized AI workspace," she said, though she's careful to emphasize the auditable part. In an industry where errors can trigger regulatory headaches or blow up during open enrollment, accuracy isn't just a feature—it's table stakes.
Alexandra Lundin, a vice president at Insight Partners, said the platform "re-architects how work gets done" in benefits administration. Brian McLoughlin, a partner at MTech Capital, pointed to Pasito's focus on automating error-prone workflows, particularly around quoting and claims processing, as a key differentiator.
The Accuracy Bet
Pasito is making bold claims about precision. The company says it achieves 98% accuracy in plan construction, citing a LIMRA benchmark that puts the industry average at 74%. That's a company-provided figure, of course, and independent verification would be helpful. But if true, it's the kind of gap that matters when a single mistake can cascade into thousands of affected employees.
Traction, at least on paper, appears strong. Pasito says its annual recurring revenue has grown roughly 50-fold over the past year, though it declined to share baseline numbers—a common practice among early-stage startups reluctant to reveal just how small they started. Named customers include Reliance Matrix, which formalized a strategic partnership in mid-February, New York Life Group Benefit Solutions, and Sun Life U.S., which began offering its benefits through the platform on January 1, 2026. Consultants like OneDigital and retirement advisor Daybright Financial are also using the system.
The lack of hard revenue figures is worth noting. Fast growth off a tiny base can look impressive in percentage terms but tell you less about whether the company has truly found product-market fit. Still, the willingness of established insurers to integrate suggests Pasito has cleared at least some credibility hurdles.
What the Money Will Fund
The Series A proceeds will bankroll what Pasito calls "agentic AI infrastructure"—expanding automation into additional product lines and workflows. Translation: more AI agents handling more tasks across more parts of the benefits lifecycle.
The company also plans to grow its forward-deployed implementation teams, a signal that this remains a high-touch, enterprise-style sale. Benefits software isn't something you sign up for with a credit card; it requires integration with legacy systems, compliance reviews, and hand-holding through deployment. That model tends to be capital-intensive but sticky once it works.
Pasito previously raised a $3.25 million seed round in October 2022 from Google, Y Combinator, Core Innovation Capital, and FiDi Ventures. Strategic angels included founders from Dropbox, Namely, and Bennie—a roster that suggests the company had some well-connected early believers. The startup currently employs between 20 and 30 people and is hiring for engineering and client success roles, with compensation ranges and equity packages listed transparently on Y Combinator's job board.
The Competitive Landscape and What Comes Next
Pasito's timing may be opportune. Employer-sponsored health coverage costs keep climbing—KFF's 2025 Employer Health Benefits Survey found family premiums averaged $26,993, up 6% year-over-year. New cost drivers, including coverage for GLP-1 weight-loss drugs, are pushing premiums higher still and intensifying pressure on employers to streamline benefits administration.
But the company isn't operating in a vacuum. Nayya offers a similar AI-driven benefits platform and has its own carrier partnerships, though it faced scrutiny last fall over employee privacy concerns tied to its Google deployment. OneDigital, one of Pasito's consultant customers, has also announced partnerships with competitor Avante in 2025, suggesting large brokers are hedging their bets by testing multiple AI vendors rather than committing to a single platform.
That fragmentation could work in Pasito's favor if it executes well, or it could signal a market still figuring out which approach will win. The company hired John Locy, formerly of Marsh McLennan, as Executive VP of Partnerships in 2025—a move that suggests it's serious about courting enterprise relationships.
Whether Pasito's accuracy claims hold up at scale, and whether brokers and insurers eventually consolidate around one or two dominant platforms, remains an open question. For now, the company has the capital to find out. And in an industry still drowning in spreadsheets, that might be enough.
