For Immediate Release
Vinli launches Velona™ — an agentic, AI-powered fleet management platform
Velona brings AI-driven orchestration, risk prediction, and hidden-cost discovery to fleets — now available in limited early-access using the Databricks Data Intelligence Platform.
Dallas, TX — October 19, 2025
Vinli today announced the launch of Velona™, its new Agentic Fleet Management product designed to help fleet operators find unseen cost savings and surface operational risk before it becomes expensive downtime or liability. Velona combines Vinli’s proven fleet data orchestration with the Databricks Data Intelligence Platform to deliver fast, secure, and actionable insights across diverse OEM and telematics environments.
“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: where to cut fuel and maintenance spend, which drivers represent elevated risk, and which vehicles deserve attention before a failure. Leveraging Databricks gives Velona the scale, governance, and real-time analytics we need to deliver those insights reliably to fleets of every size.”
Velona — Product Highlights
- Agentic intelligence that finds the needle in the haystack. Velona actively searches fleet data for correlated signals that indicate hidden cost centers and rising risk, and produces prioritized, operationally actionable recommendations.
- Proven experience at scale & strict privacy posture. Vinli’s team has processed global fleet datasets for major operators, and Velona is built so your data stays yours — never sold or remarketed.
- Truly hardware / data agnostic. Velona integrates with existing telematics providers, OEM feeds, OBD devices, and driver mobile devices (with consent) so fleets can adopt AI without rip-and-replace projects.
- Operational orchestration platform. Velona’s orchestration layer ingests, normalizes, and unifies data so downstream AI models and operator workflows deliver reliable, repeatable outcomes rather than one-off analyses.
Why Vinli Uses Databricks
Vinli selected Databricks as the foundational data and AI platform to ensure Velona could operate with enterprise-grade scale, governance, and AI tooling. The Databricks Data Intelligence Platform and lakehouse architecture enable Velona to unify raw telematics and OEM streams with enterprise data (maintenance, finance, HR), run performant analytics and ML workflows, and maintain robust governance and lineage.
Databricks products and solutions — including Delta Lake (optimized storage layer for ACID transactions), MLflow (open-source platform for developing models and generative AI), Unity Catalog (unified governance and access controls for data and AI assets), and Lakeflow (unified data engineering solution for ingesting, transforming, and orchestrating pipelines) — help Velona accelerate development and reduce operational risk.
By leveraging Databricks for software development workflows, Vinli achieved a 40% faster time-to-market compared to projects developed using traditional, non-Databricks environments. This acceleration demonstrates the impact of unified data and AI-driven development on innovation velocity and operational efficiency.
Early operational metrics also indicate 2–3× improvements in scalability and workload performance, allowing Velona to handle higher concurrency and larger data volumes without added infrastructure cost. Additionally, Databricks training has helped Vinli engineers and data scientists standardize on best practices for scalable data engineering and ML development. As a result, the team has reduced project onboarding time by nearly 30% and lowered overall cloud compute costs through optimized pipelines and cluster configurations.
“Leveraging a platform like Databricks lets us focus on fleet-specific intelligence while relying on world-class tooling for data reliability, governance, and model operations,” said Himelfarb. “Fleet managers don’t want to manage complex data plumbing — they want answers they can act on. Databricks helps us deliver those answers faster and more securely.”
Data analytics and AI are central to Vinli’s mission of redefining fleet intelligence. Velona represents the next generation of connected-fleet management — a system of autonomous agents that continuously analyze vehicle, driver, and environmental data to optimize operations in real time. Databricks provides the unified data and AI platform that powers this innovation, enabling Vinli to ingest, train, and deploy models at global scale while maintaining the performance, compliance, and transparency customers expect.
Databricks also provides the performance and cost-efficiency required for near-real-time scoring and large-scale model serving — enabling Velona to generate timely alerts and automated recommendations for managers and dispatchers. Additional platform optimizations (such as Databricks’ execution engines and auto-optimization features) help keep total cost of ownership competitive for customers at scale.
Availability & Early Access
Velona is launching in a limited early-access program for fleets of 15+ vehicles. Early participants will receive prioritized onboarding, customized integration support for existing OEM/OBD/telematics feeds, and a scoped set of AI-driven recommendations tailored to their fleet operations.
About Vinli
Vinli is a fleet data orchestration and mobility intelligence company focused on turning disconnected vehicle and driver data into operational and financial insight. With deep integrations across OEMs, OBD providers, and telematics vendors, Vinli helps fleets of all sizes realize measurable savings, reduce risk, and modernize operations — while keeping customer data private.