Multiverse, a company focused on building AI training tools, has raised a total of $570 million in funding, pushing its valuation to $2.1 billion. The latest capital injection comes as businesses race to deploy artificial intelligence and need better ways to train models on real-world data.
The company did not disclose the specific amount raised in its most recent round, but the cumulative figure and valuation mark a significant jump from earlier stages. Multiverse now sits among a growing list of startups that have crossed the billion-dollar threshold on the back of AI demand.
Why investors are piling in
Multiverse’s pitch is straightforward: companies want to use AI, but they often lack the structured data and training pipelines to make it work. The startup builds platforms that help organizations prepare data, run training jobs, and deploy models without needing a giant in-house team. That value proposition has attracted a mix of venture capital firms and corporate investors over several rounds.
The $570 million total includes money from earlier funding rounds, though the company has not broken down how much came from each. The valuation jump to $2.1 billion suggests that later-stage investors are paying a premium for a piece of the AI infrastructure market.
What the money will go toward
Multiverse plans to use the fresh capital to expand its engineering team and scale its cloud-based training platform. The company is also investing in partnerships with cloud providers and data vendors to make its service more accessible. A spokesperson for the company said the goal is to reduce the time it takes for businesses to go from raw data to a working AI model.
The hiring push will focus on machine learning engineers and product managers. Multiverse is also opening new offices in regions where AI talent is concentrated, though it did not name specific cities.
The funding surge for Multiverse reflects a broader trend: companies are spending heavily on the infrastructure needed to train and run AI models. While much of the attention has gone to large language models from big tech firms, a growing number of startups are building the tools that make AI practical for smaller enterprises.
Multiverse competes with other AI training platforms, but its focus on enterprise data security and compliance has helped it win contracts in regulated industries like finance and healthcare. The company says its platform can handle sensitive data without sending it to public cloud servers, a feature that has become a selling point as companies worry about data leaks.
What comes next
Multiverse is expected to announce a new product line later this year aimed at mid-sized businesses. The company has not set a date for the launch, but it has already started beta testing with a handful of clients. The next funding round, if any, will depend on how quickly the company can convert its current pipeline into revenue.
For now, the $2.1 billion valuation puts Multiverse in a position to either go public or seek a larger acquisition offer. The company has not commented on IPO plans.
