Flip provides AI-powered asset management solutions designed for users ranging from individual mechanics to large enterprises. The platform automates the collection and cleaning of asset data to enable predictive maintenance capabilities. This service streamlines operations by offering actionable insights across the entire asset lifecycle.
Funding
Funding not disclosed
Founders
Product
Problem
Commercial and defense fleets face challenges in predicting vehicle maintenance needs, leading to unplanned downtime, increased costs, and reduced operational readiness. Traditional fleet management relies on manual data analysis and reactive maintenance schedules, resulting in inefficiencies and delays.
Solution
FLIP offers a fleet management platform that leverages machine learning to forecast vehicle maintenance requirements and optimize resource allocation. By analyzing historical maintenance data, the platform predicts potential component breakdowns and schedules maintenance proactively, minimizing unplanned downtime. The platform automates fleet analytics, generates custom dashboards, and creates risk scores to assess the probability of component failure. This enables data-driven decisions, reduces total cost of ownership, and improves overall fleet readiness.
Target Audience
FLIP targets commercial fleets in transportation, logistics, and supply chain, as well as defense organizations like the U.S. Air Force and the Space Force.
Features
- Predictive maintenance scheduler that forecasts vehicle readiness and minimizes unplanned downtime
- Automated fleet analytics with custom dashboards, graphs, and KPIs
- Risk scoring to assess the probability of component breakdowns
- Integration with various data sources, including Oracle EAM, GCSS-Army, DPAS, Blade, Excel, and PowerPoint
- ML-powered scheduler to coordinate trips, drivers, repairs, and supply chain
- Support for both traditional and electric vehicle (EV) fleets, including features for extending battery life and optimizing charging costs