AI video analytics startup Airis Labs raises $60 million

Airis Labs Ltd., a provider of video analytics software for government agencies, launched today with $60 million in funding.

The startup raised just over half of its capital through a Series A round led by PSG Equity. The growth corporation was joined by TLV Partners, Stepstone Group, Redseed Ventures, and several angel investors.

Airis provides a platform that enables law enforcement and other public sector organizations to analyze video content. The software can analyze footage from social media, surveillance cameras, drones, and other sources. Uses artificial intelligence to combine multiple video charges into a single view of the situation.

One of the challenges with processing video datasets is that they often lack indexes. Indexes are files that developers often add to relational databases to speed up queries. This is a collection of shortcuts that reduce the time needed to find important information. Without an index, users have to go through the entire dataset to find the specific data point they want to retrieve.

Airis says its platform addresses this challenge. The company says the software can speed up some video analysis tasks by 150 times. It also eliminates the need for analysts to use multiple video processing tools.

Customers can configure Airis’ platform to monitor potential hazards in specific locations. The software displays events of interest in a feed that describes each incident, where it happened, and when it happened in natural language.

Users can collect even more data about events using built-in investigation tools. Airis says it offers a drag-and-drop interface that allows analysts to quickly retrieve specific clips. The underlying AI model can also extract important details from other types of data, such as audio snippets and text.

Multimodal models, or neural networks that support multiple data types, are often based on industry standard transformer architectures. Although this architecture was originally designed for text analysis, it can also incorporate other files with certain modifications.

Before processing the text snippet, the AI ​​model converts it into a mathematical representation called an embedding. You can also convert video and audio snippets to embeds. As a result, transformers can process such files with the help of algorithms that convert multimedia data into numerical sequences.

“Government teams don’t lack raw visual data; they lack machine-readable understanding,” said Norm Friedman, co-founder and CEO of Airis. “The next generation of AI used by government agencies will need to understand the physical world: what happened, where it happened, what has changed, what is important, and what requires human judgment.”

Airis will invest the new funding in product development and go-to-market efforts.

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