A US company · Delaware → the world

The future, at the speed of light.

elama.ai is a US company, incorporated in Delaware, built to be the spark that brings the future to enterprises worldwide. We embed AI engineers inside your enterprise and deploy frontier intelligence into the work itself. Working software the day we start.

01 / SPEEDWorking software on day 0
02 / FOCUSReal estate, automotive, healthcare
03 / LANGUAGEEnglish and Arabic, natively
04 / REACHDelaware → worldwide
Selected for the NVIDIA Inception program · Microsoft & NVIDIA MENA GenAI Accelerator Powered by NVIDIA
01Why we exist

The spark between where AI is built and where it's needed.

The frontier of AI moves every week, and it moves fastest in the US. Too many enterprises around the world still wait years for it to arrive.

elama.ai closes that distance. We carry what's new on the frontier straight into your operations, deploy it on your data and in your customers' languages, and stay until the number moves.

An international elama team maps a workflow on a glass wall with a client team around the table
Day 0 · 17:30Working software shipped
An engineer in a US office stands before a video wall showing light trails from North America across the world and teammates on a video call
Delaware → the world · live
02From Delaware to the world

Built in the US. Deployed worldwide. At the speed of light.

elama.ai is a Delaware corporation. You contract with one US company, and we deploy wherever your business runs, across time zones and languages.

  1. Newark, DelawareHeadquarters · the US company you contract with
  2. Worldwide deliveryDeployments wherever your business runs
  3. Multilingual by designEnglish and Arabic, natively, with their dialects
03Verticals

Three verticals. Deployed deep.

We go deep where we already deliver: real estate, automotive and healthcare. Same method every time: embed, find the highest-value work, ship it, multiply it. We know the data, the regulation and the job.

A property advisor shows a couple a 3D building model on a tablet in a bright sales gallery
01

Real estate

Lead qualification in minutes, unit matching, contracts, collections and owner requests, around the clock.

A dealership advisor with a tablet beside a new electric SUV in a bright showroom
02

Automotive

Showroom and online leads, test-drive booking, service scheduling and after-sales follow-up that never drops.

A doctor reads patient information on a tablet in a bright hospital corridor
03

Healthcare

Pre-authorisations, clinical notes, patient calls and appointment flow, in English and Arabic.

04How we deploy

Embed. Find. Ship. Multiply.

Senior AI engineers work inside your teams, not from a slide deck. They own the outcome from “what should we deploy?” to a system your people use every day.

  1. Day 0 · morningEmbedOur engineers join your team, your systems and your language. Read-only access first.
  2. Day 0 · middayFindWe map the workflow and agree the one number the deployment has to move.
  3. Day 0 · eveningShipWorking software on your real data, the same day. Then shadow runs until it earns production.
  4. Then, every weekMultiplyWhat worked in one team becomes a pattern for the next. Your people learn to run it.
05Why elama

Built for the intelligence you have today, and the super­intelligence coming next.

01

Same-day software

We build with AI, not just for it. That's how the first working version lands on day one.

02

Production, not proof of concept

Every deployment is tied to a number agreed on day zero. Demos don't count.

03

Frontier models, best per job

Each workflow runs on the model that does it best, and swaps when a better one ships.

04

Multilingual, natively

English and Arabic, dialects included, in and out. Never a translation layer.

05

Governed from day zero

Human approval, a full action log, and your data kept where your rules say it must live.

06

A US company, global by default

Incorporated in Delaware and built to deploy anywhere. US standards, worldwide reach.

06Products

What we deploy with.

Two products we've hardened across deployments, so every new one starts further ahead.

What should we deploy first?

Name one workflow. Our engineers will have working software running on it the same day.

Send us a message

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