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Everyone else lists cars. We know what they'll actually do.

A brochure range figure is measured at 23°C in a lab. A listing price is whatever the seller typed. EV Cozmo replaces both with numbers derived from the region's own data — and every driver who uses the app makes them sharper.

Real-world range model
Price intelligence
Demand signals
EV Assistant
How it works

One loop, four surfaces.

The same data that answers a driver's question also prices a seller's ad and tells an operator where to build.

What we collect

Marketplace index

1,200+ live listings, 5 sources, daily

Station telemetry

300+ stations, 9 CPO networks

Completed trips

Start SoC, arrival SoC, ambient temp

Our own range tests

8 cars measured at 45°C

Search & enquiry signals

What buyers look for, per region

What we compute

Range model

temp · speed · elevation · AC load

Price model

spec · mileage · region · days-to-sell

Demand model

searches vs. supply, by city

EV Assistant

answers grounded in the three above

Where it shows up

Route planner

arrival SoC & charging stops

Listing pages

real range + price guidance

Seller & agency tools

suggested price, demand heatmap

In-app assistant

"can I make it on 60%?"

CPO Yield & APIs

where to build, what to charge

↻ driver rates the trip plan · earns 10 points · model re-fits

The dashed return path is the only part competitors can't copy by scraping. Rating a route plan already earns 10 points in the app today — that reward exists to buy training data, and every rated trip tightens the range model for the next driver.

Real-world range

Shipping

Every range figure on the platform is adjusted for the conditions the car will actually be driven in. The route planner already takes an expected temperature and applies the penalty; the same model rewrites the number on every listing card.

Kia EV6 · brochure

528 km

At 42°C, 120 km/h, AC on

431 km

Price intelligence

New

When a seller reaches the price field, we already know what the same spec sold for, how long it took, and what's listed right now. Suggested price appears inline — and the seller sees the trade-off rather than a single number.

Suggested for your EV6 GT-Line

2.05M · sells in ~4 days

2.25M · ~12 days

2.6M · 60+ days

Demand intelligence

New

We see the searches that return nothing. That gap — demand with no supply — tells an agency what to import next and a charge point operator where a station would pay for itself.

Unmet demand · Cairo, last 30 days

EVs under 1M EGP

2,410

7-seat electric

1,180

Electric pickups

604

EV Assistant

Shipping

A general chatbot guesses. Ours answers from your car, your battery, today's weather and the live station map — so the answer is specific enough to act on, and it can hand off straight into a planned route.

Can I make it to Alexandria on 60%?

Yes — 303 km usable at today's 38°C against 220 km of route. You'd arrive on about 22%.

No stop needed

What exists today, and what doesn't

Already in the codebase

Route planner with expected-temperature input and a battery model

Trip feedback loop rewarding 10 points per rated plan

features/ai_agent — the assistant chat surface

Marketplace index across five sources, with a filter taxonomy

Proposed here — not built

The price model and suggested-price slider

Unmet-demand reporting for agencies and CPOs

Heat-adjusted range shown on listing cards, not just in routing

The 45°C range-test dataset itself — the tests have to be run