ElaraELARA·CORTEX ← home
Why we build it this way

Efficiency is access.

Most of the world does not run on fast lines and big budgets. We built Elara so that great routing, and the data behind it, can run anywhere: on one bar of signal, on a small server, in the towns the big maps skip. When you can serve the whole planet on thin resources, you can serve everyone.

One engine, for everything that moves.
69% smaller
our data on the drive, with our own ElaraZip, a third smaller than the usual gzip
Every byte
pages and routes travel compressed, so they arrive fast on a thin connection
Keeps routing
global routing from one free-tier server, and it keeps working in dead zones
#1 of 250 000
our founder’s world rank for computational efficiency, mersenne.org. Anyone can check

Why we reach everyone

A delivery driver in Nakuru. A fleet owner in Lagos. A family on one bar of signal on a mountain pass. They all need to get where they are going, on the phone and the network they already have. The big mapping companies answer that with more data centres. We do not believe great routing should need a data centre at all. If the whole engine can run on a small, cheap server, then cost stops being the reason a place gets left off the map. That is the point: efficiency is not a saving we keep. It is the door we open.

How: mathematics, not more machines

We do more with less in two ways, and both are ours.

We schedule our work the best way the hardware allows, and we can prove it. Not tuned by hand until it felt fast; checked by machine to be the best possible for the resources it runs on. That is why one small server keeps serving the world even when the load spikes and the upstreams slow down.

We built our own compression, ElaraZip, and the routing engine runs on it, both ends. What we keep on the drive is stored compressed. What we send to your screen goes over the wire compressed. So the same job needs a fraction of the disk and a fraction of the bandwidth, and the saving reaches you as speed. How it works inside stays ours.

The benchmark, from raw

Not a slide. Measured on the live system, every byte checked by a SHA-256 round trip. The column that matters is vs raw: how much of your storage simply disappears.

Infra filerawgzipElaraZipvs RAWvs gzip
road_graph_ship.sqlite364.7 MB161.7 MB109.2 MB70% gone+32%
POI gazetteers25.1 MB6.4 MB4.8 MB81% gone+25%
world cities12.1 MB3.7 MB2.9 MB76% gone+21%
TOTAL416 MB185 MB130 MB69% gone+30% vs gzip

Two thirds of the storage, gone from the raw size. A third smaller than gzip, the codec the whole industry already runs on. And it stays fast: the gazetteers decode in tens of milliseconds, the 365 MB database in about two seconds.

Elara is an infrastructure company, not only a map. The discipline that routes a van, do the most with the least and prove it, now stores and moves the data too. That is what lets one small server carry the world.

The stack: the whole site runs on AWS and Flask, sitting on our own ElaraBox and ElaraZip infrastructure. The very compression we sell carries our own engine. We run on what we ship.

ElaraBox: your drive, compressed

Picture Dropbox or OneDrive. Now make every file inside live at a third of the size, and still open it, add to it, and pull from it the moment you ask, the way you would from any folder. You never unzip it first. The box stays compressed on the drive and behaves like a normal container, live. For a team holding terabytes, two thirds of the storage bill is gone, and nobody changes how they work.

Dropbox / OneDriveElaraBox
Files on the drivefull sizea third of the size
Open a fileinstantinstant, no unzip
Add or remove a filelivelive, no re-pack
The storage billfullcut by two thirds

ElaraZip compresses one file. ElaraBox is the whole drive: deduplicated across every file, compressed once, worked on live.

Speed, while we are at it

On the wiregzipElaraZip
The script on every page6.6 KB5.5 KB
A route sent to your screen3.5 KB2.2 KB, 37% lighter
Routing
A slow upstream, routed around3.0 s0.34 s, 8.8x faster
Under heavy load, and it stays up12.1 s6.2 s

See it route →   The measured benchmarks →