Extended Reality (XR)
Holograms & Experiential
Digital Twins, BIM & AI
Industrial & Vocational Simulators
EHS Safety VR Modules
Defense, Medical & EdTech Labs
Case studies
Platforms
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 — Platforms
Guides and assistants grounded in your own documents.
Speech recognition and natural text-to-speech.
Gesture, object and visitor detection from camera feeds.
Test sets and limits that keep answers on topic.
02 — In depth
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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 that the team is the right size and has the right skills for the next phase.
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.
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.
Culenz is a virtual reality, augmented reality and mixed reality company headquartered in Jaipur, with offices in Secunderabad and Dubai.
Our AI developers build our own projects for government, enterprise and brand clients. That production experience comes with them to your team.
03 — FAQs
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.
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.
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.
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.
Yes. They can join your data science team's processes, use your model hosting and follow your evaluation standards. They bring practical XR and real-time experience to the team, which most data science teams lack.
Book a free demo and see what Culenz can build for you.