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FAQ

Plain answers.

How teams, AI, data and working across markets actually look with us.

CRUX

What does CRUX actually do?

We put a dedicated technology team on your roadmap. Engineering, AI and ML, data, cloud, QA, DevOps, product and PMO. You keep strategy and IP. Offices in Vancouver, Delhi, Sharjah and Lucknow. Teams in the US, Canada, the UK and Australia. Clients across India, Canada, the United States, the United Kingdom, the UAE and Australia.

Are you an AI company or a delivery company?

Delivery first. AI sits inside the same unit - models, agents, vision, forecasting and MLOps in the same release train as the product. We do not sell a separate “AI lab” that never reaches production.

What have you already shipped?

Live products include ODIO (conversational AI), NaviSlip (marina operations), Zukti (vision AI), Int@keOS (admissions), Bharat Rover (end-to-end travel portal) and iGaming / sportsbook platforms.

Who owns the work once a team starts?

You do. Product direction, backlog priority and IP stay with you. CRUX owns screening, leadership, rhythm and replacement of the people on the team.

Teams and models

What is a dedicated team?

A standing team that works only on your product. It sits in your Slack, Jira and stand-ups. A CRUX lead holds the weekly rhythm. Best when the roadmap is ongoing, not a two-week task.

How is that different from staff augmentation?

Augmentation adds named specialists into a team you already run. You keep day-to-day management. A dedicated team is a cross-functional unit with its own delivery lead. Many clients start with one or two people and grow into a dedicated team.

How is that different from “outsourcing a project”?

Project outsourcing hands a defined scope to a vendor who disappears at handover. We embed. The same people stay on the system, so context does not reset every quarter.

Which engagement model should we use?

A dedicated team for a standing product. Time and materials when scope is moving. Guaranteed hourly capacity when you need a known number of hours each month. Outcome sprint when the question is a working slice in a few weeks. Hybrid is normal.

Can we mix models?

Yes. A common pattern is a core team for the product plus hourly specialists for data science, MLOps or iGaming at peak load. We recommend the shape. We do not force one contract type.

How fast can a team start?

Send a brief. A delivery lead replies within 48 hours. Week one is diagnosis. Week two is a working slice where the brief is real.

What if someone leaves the team?

Replacement is our problem. Knowledge sits in your repos, your tickets and a CRUX lead - not in one contractor’s laptop.

Where we work

Where do you operate?

We operate in India, Canada, the United States, the United Kingdom, the UAE and Australia. Offices in Vancouver, Delhi, Sharjah and Lucknow. Staff and teams also sit in the US, Canada, the UK and Australia.

Why not hire only locally?

You get senior operators in the rooms that win work, and a deep engineering team where the talent density is high. One delivery standard across offices. The point is capability in production - not a résumé on a portal.

How do time zones work?

Delhi overlaps the UAE and the start of the European day. Sharjah covers Europe and a usable window into North America. Vancouver and US / Canada teams cover North American hours. Australia covers APAC. We set overlap hours in the brief. Stand-ups live in your calendar, not ours.

Will quality drop if the team is not in our office?

Quality drops when screening is weak and people rotate. It does not drop because the office is in Delhi or Sharjah. We keep a ready network. You meet the people before they start.

Do we need a legal entity in India?

No. You contract with CRUX. Employment, payroll and local compliance sit with us. You do not stand up an ODC or a subsidiary to get a team.

What usually goes wrong with outsourcing - and how do you stop it?

The usual failures are a shared roster, no owner, vague IP, and no overlap hours. We run the opposite: dedicated people, a named lead, IP in the contract, and a weekly rhythm you can see in your own tools.

AI, ML and automation

Can we outsource AI and machine learning, or must that stay in-house?

You can outsource the build and the run. Strategy, data rights and the decision of what “good” looks like stay with you. The engineers, applied scientists and MLOps people can sit on the team. That is how ODIO and Zukti reached production.

What AI work is safe to give an external team?

Pipelines, feature stores, standard models, retrieval, agents on your stack, evaluation harnesses, MLOps and cost control. Keep the crown-jewel dataset policy with you. We work inside that boundary.

Do you train models, or only wrap ChatGPT?

Both, when the brief needs it. Fine-tuning, vision, ranking, forecasting and agents are in the practice. A wrapper is not a programme. If the work is a prompt on a vendor API, we will say so in the first week.

How do you keep AI work in production instead of a slide?

Same CI/CD, monitoring and owner as the product. A model that cannot be rolled back does not ship. Inference cost is watched per feature, not as a surprise invoice.

Data engineering and data science

Can we add data engineers without standing up a new vendor?

Yes. Data engineering, analytics and decision science sit in the same CRUX unit as software and AI. One contract, one lead, one Slack.

What does a data person actually deliver?

Pipelines you can rerun, warehouses and lakes that analysts can trust, and numbers a meeting can use. Not a dashboard that dies when the consultant leaves.

Will our data leave our cloud?

Only if you say so. Work can stay in your AWS, Azure or GCP project with role-based access. Training copies can be anonymised. Residency rules (including India DPDP where they apply) are set in the brief, not after the fact.

IP, security and commercial

Who owns the code, models and prompts?

You do. Assignment is in the contract. We do not reuse your models on another client.

Do you sign an NDA?

Yes, on request, before the detailed brief.

How do you price?

Competitively, against the people and the model you choose. There is no public rate card. A real brief gets a real shape - dedicated team, hours, sprint or blend.

What do we send to start?

A short note is enough: what you are trying to accomplish, where the work lives, and whether you need a dedicated team, extra people or a sprint. hello@cruxedge.ai or the form. A delivery lead replies within 48 hours.

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