“Brilliant finance teams are completely overwhelmed,” Translucent CEO Jack O’Hara wrote. “It wasn’t because they lacked talent: it was because they were buried under a mountain of disconnected systems, manual processes, and impossible timelines.”
Translucent AI, a New York-based startup, aims to simplify financial operations for healthcare providers through an agentic AI platform. On Thursday, the company announced a $7 million seed round led by NEA, Virtue, FPV, and Redesign Health.
O’Hara and co-founder Max Tkachuk are pitching Translucent as a solution to what they call a systemic productivity problem: finance teams spending the majority of their time not on strategy or analysis, but on pulling, formatting, and verifying data from fragmented systems. “Provider finance teams often rely on manual processes including spreadsheet-based analysis and manual data extraction,” O’Hara said in the funding announcement. “Our platform aims to automate these processes and provide real-time financial insights and reporting capabilities”.
A Narrow Product for a Specific Problem
Translucent positions itself narrowly: a generative AI financial analyst built for healthcare operators. Unlike general-purpose business intelligence platforms, the product is designed to parse data from healthcare-specific systems: general ledgers, EHRs, revenue cycle management systems, and payer contracts, and answer plain-language financial questions in real time.
“Once the LLMs and generative AI came out, I realized this is a time where we can almost recreate what the finance team is doing, and have AI do a much better job,” O’Hara told Endpoints News. Unlike traditional financial software, which he said is built for CFOs, Translucent is designed to be used across the operations chain.
Their target customer today is large health systems and multi-site medical groups. The company reports it has been deployed in organizations managing over $5 billion in annual revenue since its 2024 launch. While it has not named most of its clients, Jen Boyer, CEO of Springfield Clinic, provided a testimonial: “Translucent AI changed this overnight by giving our finance and operations teams access to immediate, actionable insights that were previously out of reach”.
A Tightly Focused Go-to-Market Strategy
So far, Translucent has focused on large providers with robust financial operations, but it has indicated plans to move downstream. Its value proposition: a personalized AI analyst that understands the user’s data model, responds in natural language, and can build forecasts or generate reports, is pitched as both a time-saver and a decision support tool. The company describes its core functionality with three verbs: “Ask,” “Prepare,” and “Act.”
It’s still early days. The seed funding will go toward expanding operations and technical development, but the company hasn’t shared a roadmap or pricing details. Nor has it disclosed retention rates or customer ROI beyond anecdotal endorsements.
Still, the investor syndicate behind Translucent suggests confidence in its vertical focus. Blake Wu, a partner at NEA, said the firm had evaluated “multiple companies in the healthcare AI sector,” and was convinced that Translucent “addresses specific operational challenges faced by healthcare finance teams”
