EVRION.

SaaS · Data Visualization

A data-visualization SaaS that turns sprawling operational datasets into maps decision-makers can actually read.

Client
Cartographer
Year
2025
Discipline
SaaS · Dataviz
Timeline
5 months

Context

Cartographer was a seed-stage startup with a sharp idea: let operations teams see their data on a map instead of in a spreadsheet. They had a prototype that demoed well and fell over the moment real data hit it.

They needed a product solid enough to put in front of enterprise buyers — and investors.

Challenge

Mapping millions of points in a browser without it grinding to a halt is genuinely hard, and the interface had to stay fluid enough that exploring data felt like play, not like waiting.

As a young team chasing a raise, they couldn't afford to build something that would need rewriting the day after Series A.

Approach

We rebuilt the rendering layer around GPU-accelerated mapping that stays smooth at millions of points, and designed an interface where filtering and drilling into data feels instantaneous.

We architected for scale from day one — multi-tenant, observable, secure — so the same codebase that won the demo could carry them through their first enterprise contracts.

Outcome

Cartographer went from seed to Series A in fourteen months, with the platform front and center in every pitch. The product that closed enterprise deals is the one we shipped, not a rewrite.

Their team has since extended it confidently — a sign the foundations held.

Technical Detail

WebGL-based rendering (via deck.gl) draws large point and polygon layers on the GPU, fed by a tiled data service that only ships what's in view.

A multi-tenant backend with row-level security keeps each customer's data isolated, and the whole platform is instrumented so performance regressions surface before customers feel them.

// Gallery

GPU-rendered map with millions of live points
Instant filtering and drill-down
Multi-layer comparison view

// Next step

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