Invisible Technologies funding hits $100M to fix enterprise AI

Invisible Technologies, a company that has spent a decade profitably operating in the shadows of the AI boom, just stepped into the spotlight with a massive $100 million funding round. CEO Matt Fitzpatrick announced the raise, positioning the company not as another generative AI hype machine, but as the pragmatic solution to a persistent problem: for all the headlines, AI still isn't delivering clear value in the enterprise.

While most of the industry chased venture capital, Invisible spent the last five years running profitably, quietly partnering with major AI labs and Fortune 500 companies to integrate models into complex business operations. Their core thesis, developed long before the current generative AI craze, is that models “work best alongside humans, not instead of them.”

Now, as enterprises struggle to get a return on their AI investments, Invisible is using its new capital to accelerate a mission it has been honing for years.

The Human-in-the-Loop Play

Invisible’s strategy hinges on its end-to-end platform, which isn’t just a piece of software but a managed service that combines AI with skilled human operators. The company tackles the unglamorous but critical work that makes AI function in the real world: cleaning up messy data, fine-tuning models on proprietary information, building custom workflows, and continuously evaluating model performance.

This human-centric approach has attracted a diverse and high-profile client list. According to the company, it works with tech giants like Microsoft and AWS, insurance provider American Family Insurance, and even the NBA’s Charlotte Hornets. Patrick Harrel, the team’s VP of Basketball Insights & Analysis, credited Invisible’s computer vision models with providing “high-quality data that played a key role in validating our 2025 draft analysis.”

Wojciech Galuba, Director of Data & Evaluations at Cohere, noted that Invisible maintains a “really high bar for talent” and isn’t afraid to “pose really complex questions that push us to create better data.” This suggests Invisible isn’t just a consumer of AI technology but an active participant in refining it at the source.