Invisible Technologies Secures $100M Funding, Valued at $2B+

Scale AI Rival Invisible Technologies Valued at Over $2 Billion

Artificial intelligence startup Invisible Technologies, a competitor of Scale AI Inc., is raising $100 million in a new funding round that underscores Silicon Valley investors' interest in the building blocks of the AI boom. The 10-year-old startup is valued at more than $2 billion in the deal, according to a people familiar with the matter who asked not to be identified discussing private information. A new firm called Vanara Capital led the financing, its first public investment since spinning off of private equity firm TPG Inc. in August.

AI data provider Invisible raises $100M at $2B+ valuation - SiliconANGLE

Invisible Technologies Inc., a startup that provides training data for artificial intelligence projects, has raised $100 million in funding. Bloomberg reported today that the deal values the company at more than $2 billion. Newly formed venture capital firm Vanara Capital led the round with participation from Acrew Capital, Greycroft and more than a half dozen others. AI training datasets often include annotations that summarize the records they contain. A business document, for example, might include an annotation that explains the topic it discusses. Such explanations make it easier for the AI model being trained to understand the data, which can improve its output quality. Invisible provides enterprises with access to experts who can produce custom training data and annotations for their AI models. Those experts also take on certain other projects. Notably, they can create data for RLHF, or reinforcement learning from human feedback, initiatives. . RLHF is a post-training method, which means it's used to optimize AI models that have already been trained. The process involves giving the model a set of prompts and asking human experts to rate the quality of its responses. The experts' ratings are used to train a neural network called a reward model. This model, in turn, provides feedback to the original AI model that helps it generate more useful prompt responses. Invisible offers a tool called Neuron that helps customers manage their training datasets. The software can combine annotated data with external information, including both structured and structured records. It also creates an ontology in the process. This is a file that explains the different types of records in a training dataset and the connections between them. Another Invisible tool, Atomic, enables companies to collect data on how employees perform repetitive business tasks. The company says that this data makes it possible to automate manual work with AI agents. Additionally, Invisible offers a third tool called Synapse that helps developers implement automation workflows. "Our software platform, combined with our expert marketplace, enables companies to organize, clean, label, and map their data," said Invisible Chief Executive Officer Matthew Fitzpatrick. "This foundation enables them to build agentic workflows that drive real impact." Today's funding round follows a period of rapid growth for the company. Between 2020 and 2024, Invisible's annual revenue increased by a factor of over 48 to $134 billion. This year, the data provider doubled the size of its engineering group and refreshed its leadership team.

Invisible Technologies Raises $100 Million for AI Software Platform | PYMNTS.com

By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions. The new financing, announced Tuesday (Sept. 16), brings the company's total funding to $144 million and will be used to invest in Invisible's core AI software platform. A report by Bloomberg News, citing sources familiar with the matter, says the new funding values Invisible at $2 billion. "I have spent the last decade experiencing both the promises and limitations of enterprise AI, driven by the fact that 70% of the software in the world is over 20 years old," CEO Matthew Fitzpatrick said in a news release. "Despite the recent excitement, most enterprises are still struggling to get AI models into production and to quantify ROI. Invisible changes that. Our software platform, combined with our expert marketplace, enables companies to organize, clean, label, and map their data. This foundation enables them to build agentic workflows that drive real impact." The release notes that Invisible was named the number two fastest growing AI companies on the 2024 Inc. 5000 List. The firm's revenue more than doubled from 2023 to 2024, reaching $134 million, following a 24-fold increase between 2020 and 2023. The company's platform includes components such as "Neuron," which the company says provides "flexible data infrastructure to integrate and transform structured and unstructured data," and "Axon," which employs "agentic automation to orchestrate tasks and decisions across systems." The funding round comes at a time of increased focus on agentic AI, a topic that "is filled with gigabytes worth of opportunities and challenges," as PYMNTS wrote Tuesday. "Even since summer's end (just two weeks ago) this space has had its share of urgent developments, technical advancements and other innovations. All of which reinforce the momentum behind agentic AI," the report added. Meanwhile, recent PYMNTS Intelligence research finds that despite all the attention centered on Gen Z's comfort with AI, it's millennials who are using the technology at work. This embrace, PYMNTS wrote last week, shows how AI is moving from novelty to utility. The research shows that 52% of millennials use gen AI for work, the highest of any generation, while 61% report that gen AI helps them accomplish more, faster. "More than 70% of millennial users are highly satisfied with gen AI tools -- more than any other generation," PYMNTS added. "Only 6.5% report low satisfaction, suggesting that their adoption is not just frequent, but confident."