Uvi Raised $7.5 Million for Enterprise AI Graph Tech
The startup provides knowledge graph tools to reduce the cost and latency of enterprise AI agent queries.
Updated on Oct. 12, 2026 in Artificial Intelligence
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Enterprise AI startup Uvi has raised $7.5 million in a seed funding round led by CT Innovations. The company provides a knowledge graph platform designed to give AI agents persistent context across internal enterprise tools.
Why it matters
Enterprises currently struggle with high costs and performance bottlenecks when AI agents must repeatedly reconstruct context from scratch. Uvi aims to solve this by providing a unified decision graph that accelerates reasoning while lowering query expenses.
Uvi reports that its software reduces AI answer generation costs to between $0.10 and $0.16, compared to $0.75 to $1.41 for standard generative approaches. The system demonstrates a 46-fold cost reduction for complex queries that otherwise trigger stuck search loops.
The players
Uvi
An enterprise AI startup founded in 2023 that provides knowledge graph technology for AI agents.
CT Innovations
A venture capital firm that led the $7.5 million seed funding round for Uvi.
Gilad Salinger
A co-founder of Uvi who leads the company's product strategy.
Dror Wolmer
A co-founder of Uvi and inventor who received a US patent for AI-related technology in 2025.
The details
Uvi constructs a decision graph—a structured data model representing relationships between corporate entities—by performing live data joins across tools like Slack, GitHub, and Jira. AI agents query this graph via GraphQL or the Model Context Protocol, which are standardized interfaces for external applications to communicate with AI models. By accessing these pre-built reasoning chains, agents avoid the performance tax of repeatedly re-crawling disparate data sources.
Timeline
Uvi was founded in 2023.
A US patent was issued to Dror Wolmer on November 11, 2025.
The seed funding round was reported on October 12, 2026.
The Tech Race
Uvi is building its platform on the Model Context Protocol to solve the data integration challenge facing all enterprise AI agents. This marks a shift from proprietary search connectors toward standardized graph-based reasoning layers.
Uvi's software currently supports deployments at companies like Lemonade, monday.com, and Melio, where it runs on-premise or within a customer's private cloud. Enterprises can expect to integrate the platform with their existing stacks like Slack and Jira to reduce AI query latency.
The takeaway
Uvi demonstrates that specialized knowledge graphs can significantly lower the unit economics of enterprise AI. Investors should monitor how the company scales its U.S. team to compete against generic RAG implementations in the coming year.
Further reading
For more on how companies are integrating agents with enterprise data, see the Artificial Intelligence section.
More information
View technical specifications and architecture details on Uvi technology details.
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