Vinli has launched Velona, a new Agentic Fleet Management product designed to transform how fleets operate by leveraging AI for proactive cost savings and risk mitigation. The platform integrates Vinli's data orchestration with the Databricks Data Intelligence Platform to deliver actionable insights across diverse vehicle and telematics data, moving beyond traditional dashboards to automated, intelligent recommendations.
Quick Intel
Vinli's Velona uses agentic AI to uncover hidden costs and predict operational risks before they lead to downtime.
The product automates data ingestion and normalizes information from various OEM and telematics sources.
It provides prioritized recommendations on reducing fuel/maintenance spend and identifying high-risk drivers.
Built on the Databricks platform, Velona ensures enterprise-grade scale, security, and governance.
The hardware-agnostic solution guarantees customer data is never sold or remarketed.
Using Databricks accelerated Vinli's development, achieving a 40% faster time-to-market.
Transforming Fleet Operations with Intelligent Automation
Velona addresses a critical gap in fleet management by connecting operational data directly to financial outcomes. The system automates the manual labor of data collection and analysis, freeing teams to focus on strategic decisions. "Fleet teams need more than dashboards — they need a system that ties operational signals to financial outcomes and automates the manual work that takes time away from high-value decisions," said Matt Himelfarb, CEO of Vinli. "Velona bridges the gap between operations and finance by automating data ingestion, normalizing disparate feeds, and using agentic AI to surface precise recommendations."
The Databricks Foundation for Scale and Governance
A key differentiator for Velona is its foundation on the Databricks Data Intelligence Platform. This partnership provides the robust infrastructure needed to unify raw telematics data with enterprise systems like maintenance and finance. Utilizing Databricks products like Delta Lake, MLflow, and Unity Catalog ensures Velona operates with high performance, reliable data lineage, and stringent governance. This technical backbone was crucial for development velocity, enabling Vinli to bring the product to market 40% faster than with traditional environments.
The launch of Velona marks a significant shift from reactive fleet monitoring to proactive, AI-driven management. By harnessing agentic intelligence on a powerful data platform, Vinli empowers fleets of all sizes to convert complex data into clear, actionable strategies for cutting costs and mitigating liability, setting a new standard for operational efficiency in the industry.
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