Papaya is building the intelligence layer for commercial fleets.

Commercial fleets spend billions every year, but most of that spend is poorly understood.

Data is fragmented across leasing providers, fuel, maintenance, telematics, and charging. There’s no single source of truth. Costs don’t reconcile. Decisions are reactive.

Even large organisations struggle to answer simple questions:

• What are we actually spending?
• Where are we overspending, and why?
• Are we being charged correctly?

We’re building the system that fixes this.

What we’re building

Papaya turns messy fleet data into something companies can trust for financial decisions.

At the core, we:

• Ingest real-world data (often CSVs, not clean APIs)
• Standardise it into a single, consistent model
• Provide a clear, explainable view of total cost of ownership

But the goal isn’t just visibility. It’s action.

We’re building systems that operate directly on the data and take on real workflows:

• Reconciling discrepancies across suppliers when numbers don’t match
• Investigating billing issues and drafting dispute cases
• Detecting anomalies across thousands of vehicles