Prevalent AI, a London company that folds hundreds of scattered enterprise data sources into a single queryable graph, has raised $22m from Integrity Growth Partners. It is the first primary capital the business has taken in nine years of trading, which in the current market counts as an eccentricity. The company was founded in 2017 by […]<br /> This story continues at The Next Web [...]
Prevalent AI has raised $22 million in growth capital from Integrity Growth Partners (IGP), marking the first primary outside investment in the London-based company’s nine-year history. The funding [...]
The round is split between €16M from Eiffel Investment Group for project deployment and €6M led by SET Ventures for product and expansion, alongside existing investors Ananda Impact Ventures and C [...]
AI portfolios are expanding far faster than the ability to govern them across enterprises. Most organizations run a contested field of platforms, each claiming to be the “primary” AI layer; few co [...]
Across 101 enterprises, the context feeding AI agents is failing often and repeatedly. Sixty-eight percent have traced a confident but wrong agent answer to missing or inconsistent business context in [...]
In Q1 2026, VentureBeat's Pulse Research surfaced the “Governance Mirage”: the gap between the governance org charts enterprises had drawn and the control layers they had actually built. Fort [...]
Two-thirds of enterprises have hedged their AI model strategy, and the past few weeks of controversy around Anthropic’s Claude Fable 5 model showed why that posture has gone mainstream. On June 12, [...]
I came into this review thinking of Private Internet Access (PIA) as one of the better VPNs. It's in the Kape Technologies portfolio, along with the top-tier ExpressVPN and the generally reliable [...]
Relativity Networks has raised $22mn and landed a $40mn order from a large cloud provider. The company is pitching a faster kind of fibre for AI data centres. The Orlando-based company announced the f [...]
Enterprise teams that fine-tune their RAG embedding models for better precision may be unintentionally degrading the retrieval quality those pipelines depend on, according to new research from Redis.T [...]