Uvi raises $7.5M to help AI agents learn business context and run at eight times lower cost
SiliconANGLE Mike Wheatley
Uvi raised $7.5M to cut the cost of AI agents learning a company’s rules. It says its context layer can drop response costs to 10–16 cents and make agents much faster.
Based on reporting by SiliconANGLE, Mike Wheatley — read the original for the full story.
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Uvi has raised $7.5 million in seed funding to attack a problem that sounds boring until the bill arrives: AI agents having to relearn a company from scratch every time they are deployed. CT Innovations led the round, with Cardumen, Mana VC and 91 Ventures joining in.
The startup, also known as Naboo Research Ltd., argues that this reset-the-world behavior is burning cash inside enterprises. Its own benchmark tests say internally built AI agents cost the average company about eight times more than they should because they keep paying to gather the same business context again and again.
Uvi’s pitch is a “context reasoning layer” that sits underneath an organization’s AI tools and acts like shared institutional memory. It connects systems such as Slack, Jira, Confluence and Salesforce with code repositories and internal meeting notes, then maps the relationships between them so an agent can see not just what happened, but why it happened and what changed later.
The company says the layer is built on a knowledge graph and includes a semantic layer for company-specific jargon. It also puts a lot of emphasis on permissions, using access controls and data tagging so people who left a tool — or the company — do not keep showing up in later agent outputs.
Uvi says the payoff is big. Without its layer, agents can cost between 75 cents and $1.41 per response, and sometimes more than $2. Routed through Uvi, the average falls to 10 to 16 cents. For open-ended questions, the company says the cost drops 46 times and answers come back twice as fast.
Monday.com, Lemonade and Melio are already using the platform, and Monday.com’s setup apparently helps agents understand how Jira tickets, pull requests and feature flags relate to one another. That is the real bet here: not smarter models, just less repeated nonsense.
My take — AI-written commentary, not fact-checked reporting
Uvi is selling the unglamorous truth the AI crowd keeps trying to skip past: most enterprise pain is memory, not magic. The industry loves new models and shiny demos, but a company that can actually remember how work gets done may end up looking a lot more useful than another chatbot with a nicer logo.
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