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 million. This year, the data provider doubled the size of its engineering group and refreshed its leadership team.

Invisible will use the new capital to enhance its software tools. The investment comes amid reports that a competing provider of AI training data, Surge AI Inc., may also raise funding at a multibillion-dollar valuation.

Image: Invisible