Completed
Closed and oversubscribed. Onboarding two new fleet partners this month.
FleetwiseThis project has been verified
Predictive maintenance that catches failures weeks before a breakdown, not days.
$1,100,000 raised so far, confirmed by both parties (100%)
Details
- Category
- AI / Machine Learning
- IP type
- Software
- Stage
- Scaling
- Ask type
- Fixed amount
- Listed
- Sep 16, 2026
- Views
- 1
Description
Fleetwise ingests telematics data from commercial vehicle fleets and predicts component failure 2-4 weeks out using a model trained on over 50 million miles of labeled failure data, letting fleet operators schedule maintenance around routes instead of around breakdowns.
Problem
Unplanned breakdowns cost commercial fleets far more than the repair itself, in missed deliveries, driver downtime, and emergency roadside costs.
Solution
A failure-prediction model fine-tuned per vehicle class and duty cycle, integrated directly with existing fleet telematics hardware so there's nothing new to install.
Target market
Mid-size commercial trucking and logistics fleets (50-2,000 vehicles).
Business model
Per-vehicle monthly subscription, with a performance guarantee tied to reduced unplanned downtime.
Investments
Yuki Tanaka invested $450,000
7% equity
Anjali Mehta invested $350,000
6% equity
James Whitfield invested $300,000
5% equity
Discussion (2)
Yuki Tanaka
50M miles of labeled failure data is a real dataset moat. That's not easy to replicate.
Marcus Webb
We looked at something similar for EV fleet chargers. The prediction-window numbers here are impressive.
Sofia BianchiVerified account
Innovator·🇮🇹 Italy
ML engineer focused on fleet logistics and predictive maintenance.