Uvi Raised $7.5 Million for Enterprise AI Agents
The startup secured seed funding to expand its knowledge graph technology for corporate AI applications.
Updated on Oct. 12, 2026 in Artificial Intelligence
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AI infrastructure startup Uvi has raised $7.5 million in a seed funding round led by CT Innovations. The company provides knowledge graph technology that helps enterprise AI agents access company-specific context more efficiently.
Why it matters
Enterprises often struggle with high costs and performance bottlenecks when AI agents are forced to repeatedly reconstruct organizational context. Uvi seeks to solve this by enabling agents to query structured reasoning chains via live data joins.
Uvi-enabled AI answer generation costs between $0.10 and $0.16, significantly lower than the standard $0.75 to $1.41 range for conventional agent queries. This technology facilitates connections across platforms including Slack, GitHub, Jira, and Datadog.
The players
Uvi
An enterprise AI software company founded in 2023 that provides knowledge graph technology to improve agent performance.
CT Innovations
A venture capital firm that acted as the lead investor for the Uvi seed funding round.
Gilad Salinger
One of the two co-founders who established the company in 2023.
Dror Wolmer
A co-founder of the company who was issued a US patent in November 2025.
The details
The software, formerly known as Naboo, operates via on-premise deployments or virtual private clouds, utilizing GraphQL and Model Context Protocol. By creating a decision graph from enterprise data, the system reduces costs, notably performing up to 46 times cheaper than do-it-yourself approaches on stuck search loop questions.
Timeline
Uvi was founded in 2023.
Dror Wolmer was issued a US patent on November 11, 2025.
The funding announcement was published on October 12, 2026.
The Tech Race
Uvi positions itself within the evolving landscape of enterprise AI by utilizing the Model Context Protocol to standardize how agents interact with corporate data. This approach challenges legacy siloed systems that historically hindered the accuracy and cost-efficiency of automated reasoning.
Enterprises currently utilizing tools like Slack, Jira, or Confluence may see improved AI agent performance and reduced operational costs following Uvi's implementation. The software is designed to function within private clouds, ensuring that proprietary company data remains secure during AI processing.
The takeaway
Uvi illustrates the growing focus on optimizing AI context retrieval to prevent high cloud computing costs for businesses. By centralizing enterprise data into a decision graph, companies can make their AI agents significantly more cost-effective and accurate.
Further reading
Learn more about the latest innovations in Artificial Intelligence.
More information
For a deeper look at the architecture, read the Uvi technology details.
Source note: This article includes information reported by Blocksandfiles.
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