Velona AI
AI that finds hidden fleet costs before they hit your P&L
125 followers
AI that finds hidden fleet costs before they hit your P&L
125 followers
Autonomous AI agents that find hidden fleet costs, predict failures, and identify risks in real-time. Works with any telematics provider or OEM. Built on Databricks. Your data stays yours. Get answers in seconds, not weeks.
Velona AI
Swytchcode
@raydawg88 great launch. Congrats
Velona AI
@chilarai Thank you so much! We're super proud!
Makers Page
Congrats Ray and team. Love the proactive agents that flag hidden costs, risks, and likely failures before they hit the P&L. Hardware agnostic and privacy-first is a win. How do you minimize false positives and alert fatigue for ops teams? Excited to see more.
Velona AI
@alexcloudstar Thanks Alex! Great question. Alerts & Automation is exactly why we built the system the way we did.
We tackle false positives through a two-layer architecture. Our analyst agents (fuel, maintenance, safety, etc.) don't just flag anomalies. They calculate actual dollar impact and filter out anything below a meaningful threshold. So instead of "battery voltage dropped," you get "Unit 2847's battery will fail in 12-18 days, $380 tow + $1,200 downtime." On top of that we have years of data to compare against to make sure an anomaly looks like something we've seen in the past (or close to)
But the real breakthrough is our persona agents. They interpret the technical findings through the lens of someone who's actually run fleets. Understanding things like "this driver's harsh braking looks bad in the data, but he's hauling through the Rockies where it's normal" or "this maintenance delay is actually smart because the part is backordered anyway."
Every insight comes with specific vehicle IDs, dollar amounts, and the political context a real fleet manager would consider. We'd rather surface 5 high-confidence issues worth $10K than 50 maybes worth $100.
The team's been amazing on this. Especially the folks who've lived in fleet operations and know what actually keeps managers up at night versus what's just noise in the data.
Elai.io
great product!
Velona AI
@mike4747 Thank you!
This is super well executed 👏
Been deep in this space myself — got some interesting results with early users saving hours every week.
Shared a bit of that journey in my profile if you’re curious.
Congrats on launching Velona AI, Ray! The idea of autonomous agents proactively finding issues before being asked is really smart – solves the 'don't know what to ask' problem for fleet managers. Curious how these agents learn or are trained on what constitutes a significant cost or risk versus just normal operational noise?
Finally, something built by people who get fleet data pain. 😅 Can confirm: by the time a report is ready, the truck’s already down. Excited to see how Velona handles predictive maintenance in mixed OEM environments.