Vinli Launches Velona™: Agentic AI That Turns Fleet Signals Into Savings
Vinli introduced Velona™, an AI-powered fleet management platform built to find hidden costs and flag operational risk before it turns into downtime or liability. The product is now available in limited early access and runs on the Databricks Data Intelligence Platform for scale, speed, and governance.
"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 is designed to automate data ingestion, normalize disparate feeds, and use agentic AI to recommend where to cut fuel and maintenance spend, which drivers present elevated risk, and which vehicles need attention before a failure.
What Velona Does
Velona combines Vinli's data orchestration with agentic intelligence to deliver clear, prioritized actions. It works across mixed OEM and telematics environments without forcing new hardware or ripping out existing tools.
- Agentic intelligence that surfaces hidden cost centers and risk patterns with recommendations you can act on.
- Hardware and data agnostic, integrating with existing OEM, telematics, and OBD providers.
- Enterprise-grade privacy; customer data is not sold or remarketed.
- Operational orchestration that unifies data for consistent, repeatable AI insights.
Why Databricks Matters
Velona runs on the Databricks Data Intelligence Platform to unify raw telematics and OEM streams with enterprise systems like maintenance, finance, and HR - with strong governance and lineage. This setup supports performant analytics, ML workflows, and reliable delivery across fleets of any size.
- Delta Lake for ACID transactions and reliable storage.
- MLflow for developing and operating models and generative AI.
- Unity Catalog for unified governance and access control.
- Lakeflow for ingesting, transforming, and orchestrating pipelines.
Vinli reports a 40% faster time-to-market by building Velona on Databricks versus traditional environments. Faster iteration means quicker delivery of insights, model updates, and operational improvements to your team.
Learn more about the Databricks Data Intelligence Platform.
What This Means for Operations and Finance Leaders
- Measured savings: Identify where fuel, maintenance, and idle time drain margins - then act.
- Risk visibility: Spot driver and vehicle risk earlier to reduce incidents and unexpected downtime.
- Lower manual effort: Automated ingestion and normalization reduce spreadsheet work and swivel-chair ops.
- Cross-stack compatibility: Works with mixed OEMs, existing telematics, and OBD providers.
- Governance you can defend: Access controls and lineage that make security and compliance reviews straightforward.
Early Access: Who It's For and How to Evaluate
Velona is launching in a limited early-access program for fleets with 15 or more vehicles. Participants get prioritized onboarding, custom integration support for current OEM/OBD/telematics feeds, and a focused set of AI recommendations specific to their operations.
- Define success: Pick 3-5 KPIs (fuel per mile, PM compliance, incident rate, unplanned downtime, average repair order cost).
- Map your data: List sources you want unified (OEM APIs, telematics, maintenance systems, finance, HR).
- Confirm governance: Roles, permissions, lineage, and retention - who sees what and why.
- Pilot fast: 60-90 day timeline with weekly insight reviews and a simple ROI model.
- IT/security checks: Data residency, encryption, APIs, and integration approach.
If your team is building AI fluency for operations and finance, explore concise learning paths for managers at Complete AI Training.
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