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Culenz

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Hire AI developers for XR products

Hire Culenz AI developers to add language models, speech and computer vision to XR and hologram products. They build guides that answer questions, presenters that talk back and cameras that respond to visitors.

01 — Overview

AI development at Culenz

Our AI developers add language models, speech and computer vision to XR and hologram products. They build guides that answer questions and presenters that talk back.

They also build cameras that respond to visitors and AI roles inside VR training. Their work makes immersive experiences more responsive.

02 — What's included

What our developers deliver

  • Language model integration

    Guides and assistants grounded in your own documents.

  • Voice

    Speech recognition and natural text-to-speech.

  • Computer vision

    Gesture, object and visitor detection from camera feeds.

  • Evaluation and guardrails

    Test sets and limits that keep answers on topic.

03 — Key features

Hiring AI developers in depth

  1. 01

    Language model integration

    Developers connect large language models to your product, grounded in your own documents. Answers come from approved content, not general internet knowledge.

    They build retrieval, prompts and fallbacks, so the assistant stays on topic.

  2. 02

    Voice interfaces

    Speech recognition lets users talk to the experience. Text-to-speech gives it a natural voice.

    Developers tune latency, so conversations feel natural in VR and on hologram displays.

  3. 03

    Computer vision

    Developers build gesture, object and visitor detection from camera feeds. These trigger content or count visitors.

    They choose models that run reliably on the hardware available at the venue.

  4. 04

    Evaluation and guardrails

    Developers build test sets from real questions and measure answer quality. They add limits that keep answers on topic.

    Logs and reviews help improve the system after launch.

  5. 05

    Privacy and deployment

    Some features run on local hardware, keeping data on site. Others run in the cloud for larger models.

    Developers design the setup around your privacy rules, security policies and response-time needs.

  6. 06

    AI inside XR products

    AI features must work within XR's performance limits. Developers coordinate with Unity, Unreal and WebXR developers to keep frame rates steady.

    That experience of combining AI and XR is hard to find in general AI teams.

  7. 07

    AI guides for museums and lobbies

    AI guides answer visitor questions in museums, lobbies and experience centres. Developers ground them in curated content and test with real questions.

    Guides can appear on screens, in VR or as life-size holograms.

  8. 08

    AI roles in VR training

    AI can play a customer, patient or colleague in VR training. Trainees practise conversations that are hard to rehearse with real people.

    Developers build scoring and feedback, so trainers see how each conversation went.

  9. 09

    Multilingual assistants

    Visitors and users speak many languages. Developers test speech and language models in each language your audience uses.

    Where quality varies, they recommend the best model for each language.

  10. 10

    Costs of running AI features

    Cloud AI services charge by usage, so costs grow with visitors. Developers estimate running costs before launch.

    Caching, smaller models and local processing can reduce costs without hurting quality.

  11. 11

    Onboarding in the first weeks

    Share access to your repository, build pipeline, task tracker and target devices. A short architecture brief shortens the first week.

    We agree working hours, communication tools and review routines before day one. That keeps time zones and handovers simple.

    Most developers start with a small task to learn the codebase. They then move on to full features within the first sprints.

  12. 12

    Reporting and communication

    Developers share progress in your stand-ups and through your task tracker. The Culenz producer sends a short summary of hours, progress and risks.

    Problems are raised early, not at the end of a sprint. That keeps surprises small and fixable.

    Regular reviews with you check the team has the right size and skills for the next phase.

  13. 13

    Code ownership, security and confidentiality

    Work produced for your project belongs to you under the engagement agreement. Code lives in your repositories, under your access rules.

    Developers sign confidentiality terms and follow your security policies. Access can be removed at any time from your side.

04 — Our process

Hiring AI developers from Culenz

We start with a call about your product, roadmap, tools and the skills you need. We then propose developers whose experience matches the work.

You meet the developers before they start. Once you agree, they join your stand-ups, sprints and code reviews like your own team members.

A Culenz producer handles day-to-day coordination, holidays and cover. You keep control of priorities and the backlog.

  1. 01

    Discovery call

    We learn about your product, roadmap, tools and the skills you need.

  2. 02

    Developer profiles

    We propose developers whose shipped projects match your work.

  3. 03

    Introductions

    You meet each developer and approve the team before anyone starts.

  4. 04

    Onboarding

    Access, tools, working hours and the first tasks are set up in the first week.

  5. 05

    Sprints and reviews

    The team works in your sprints, with a Culenz producer handling coordination.

05 — Planning your project

What shapes your budget

Pricing

Cost of hiring AI developers

Cost depends on seniority, team size and how long the engagement runs. Specialist skills, such as Pixel Streaming or AI, can affect rates.

We share a clear monthly quote for each role before work starts. There are no hidden recruitment fees.

06 — Why Culenz

XR developers across India and Dubai

Culenz is a virtual reality, augmented reality and mixed reality company serving India and Dubai.

Our AI developers build our own projects for government, enterprise and brand clients. That production experience comes with them to your team.

Founded in India
2019
Hours of 360° VR streamed live
100+
Visitors at the IT Day XR Dome
1,00,000+
Offices across India and Dubai
3

07 — FAQs

Questions buyers often ask

Can AI features run without sending data to the cloud?

Some can: speech recognition and smaller models can run on local hardware, which keeps visitor data on site. Larger language models usually run in the cloud. We choose the setup from your privacy rules and response-time needs.

Which AI models do your developers work with?

They work with commercial and open-source language, speech and vision models. The choice depends on quality, cost, privacy and response time. We recommend options for your use case during scoping.

Can AI developers build a chatbot for our website too?

Yes. The same skills apply to web assistants grounded in your documents. Many clients use one knowledge base for a website assistant and an AI guide in their experience centre.

How do you measure whether an AI feature works well?

We build a test set of real questions with expected answers and score every response carefully before launch. After launch, conversation logs and user feedback show exactly where answers need improving.

Start your journey

Ready to enter the experience?

Book a free demo today and see what Culenz can build for your enterprise in India or Dubai.