Industries
Telecom, travel, media, hospitality, maritime, optical, higher education, iGaming
A TheCRUXedge company · Home office Vancouver · Satellite Dubai
Everyone talks AI.
We get to the CRUX.
We deliver the EDGE.
You own the roadmap. We put a dedicated technology team on it — engineering, AI, data, cloud and product — inside your tools.
IndiaCanadaUnited StatesUnited KingdomUAEAustralia
Vancouver · HomeDubai · SatelliteDelhiSharjahLucknow
0+Years of industry experience
0+Years of domain depth
0%Client retention
0Products and platforms in market
The CRUX method
Clarify. Reorganise. Uplift. Execute.
We work the same way every time. It keeps the team honest.
C
Clarify
We sit with you and name the actual problem before anyone writes code.
R
Reorganise
We fix how the team, the tools and the week are set up, so work can move.
U
Uplift
Then we put AI and automation in that same team. Not as a side project.
X
Execute
We build it, put it live, and stay with it.
The AI delivery gap
A pilot is not a product.
Most companies have tried a pilot. Very few have AI sitting in the same team that ships the product. That last stretch is the work.
Curiosity
What usually happens
A workshop. A chatbot on a side page. A model nobody can change once the consultant leaves.
Production
What we do
The model lives in your product. Your team can change it, watch it, and turn it off.
The offer
A team on the work. Without building a department first.
- You keep strategy, product and IP.
- We put a managed team on the roadmap.
- You do not hire a second company to “do AI.”
Build internally
Hire, train, manage, replace - then stand up a separate AI group later.
Plug in a CRUX team
People who can start. One lead. Your Slack and Jira. Dedicated, hourly, or a short sprint - whichever fits the work.
Capabilities
One team. What it takes to ship.
Software engineering
Web, mobile and APIs on the stack you already run.
AI-native engineering
The team uses current AI tools as part of the job - in your repo, on your backlog. Not as a demo.
Data engineering and data science
Pipelines, warehouses and models in the same team that ships the product. Cloud, the path from commit to live, and the tests that sit with it.
Why a dedicated team
In your tools. On your calendar. Shipping.
Starts in days, not months
Week one is access and a clear picture of the work. Week two is a commit in your repo.
Quality sits with the builders
QA and release sit with the same lead as the code. Review is part of the week.
Already running
Offices and people already in place. You get a team, not a hiring project.
Products
Already live.
These are in use. Including travel and iGaming.
Conversational AI
ODIO
Every conversation scored, live coaching, voice and chat agents on one stack.
Operations
NaviSlip
Slips, reservations, vessels, public booking and billing for marina operators.
Vision AI
Zukti
Digital exams, measurement and virtual try-on. 99% accuracy. 50,000+ users.
Admissions OS
Int@keOS
Enquiry, counsellor floor, campaign and fee collection in one picture.
Travel
Bharat Rover
End-to-end travel portal: flights, hotels, cabs, packages, visa, insurance and enterprise desk.
iGaming
Sportsbook and casino
Dedicated iGaming teams across sportsbook, casino, platform, wallet, KYC and compliance.
Start
Tell us what you are trying to get done.
A delivery lead replies within two days. You do not need the exact team on paper first.