AR & VR Development Company in Singapore

A focused VR training module for Meta Quest 3 (single 15 to 30 minute scenario, voice-acted in English plus optional Mandarin, with branching logic and learning analytics) runs SGD 80,000 to SGD 220,000 over ten to fourteen weeks. A WebXR product configurator or tourism experience lands at SGD 60,000 to SGD 180,000 across eight to fourteen weeks depending on asset count and interactivity. Mobile AR apps with ARKit and ARCore typically range from SGD 90,000 to SGD 350,000 for two-platform builds with backend services. Enterprise VR training programmes covering multiple modules with MDM fleet management, LMS integration, and content authoring tools run SGD 400,000 to SGD 1,800,000. High-fidelity Unreal simulation for defence, surgical training, or URA-grade architectural walkthroughs ranges from SGD 250,000 to SGD 2,500,000. We quote fixed-fee in SGD and absorb FX risk. Singapore rates sit above Bangkok and Manila but below Sydney for equivalent scope.

For most Singapore enterprise training programmes we recommend Meta Quest 3 as the primary device — strong colour passthrough for mixed-reality scenarios, US$500 price point that scales to fleets of hundreds without procurement friction, mature MDM ecosystem through ArborXR and ManageXR, and Meta for Business support presence in APAC. Quest Pro adds eye tracking and face tracking when the training scenario genuinely needs them (soft skills practice, attention measurement) but the cost premium is hard to justify otherwise. Apple Vision Pro is compelling for executive-tier demonstrations and visionOS-native experiences but device cost and limited fleet management make it impractical for scaled training. Pico 4 Enterprise (ByteDance) is a defensible alternative when Meta procurement has internal blockers, with comparable specs and a Singapore-local ByteDance support presence. We will recommend the device honestly based on your training scenarios, not the one with the best vendor incentive.

VR headsets increasingly capture biometric data — eye tracking, hand tracking, facial expressions, even gait through inside-out tracking — and the PDPA (2020 amendments) treats this as sensitive personal data requiring explicit consent, purpose limitation, and tighter retention controls. Our PDPA-compliant builds default to on-device processing for biometric streams where possible (Meta Quest 3 eye tracking and Quest Pro face tracking can stay on-device), explicit opt-in flows with English plus Mandarin plus Malay language options, retention limits documented in the data protection impact assessment, and clear access pathways for data subject requests. When biometric data must leave the device for analytics, we anonymise at the edge before transmission, route through AWS ap-southeast-1 with KMS Singapore-region keys, and produce data flow diagrams for your Data Protection Officer. For MAS-regulated banking training, biometric capture typically gets switched off entirely unless there is a documented training-effectiveness justification.

Partially yes, with honest caveats. Pure WebXR on iOS Safari is still limited as of 2026 — Apple has not shipped full WebXR Device API support, so immersive VR sessions through Safari are not possible on iPhone. AR through Safari works via the AR Quick Look standard, which renders USDZ files for iPhone and iPad camera-based AR with object placement, scale, and rotation. For richer interactive AR on iOS web we use Variant 8th Wall or Niantic Studio (formerly 8th Wall, acquired by Niantic) which deliver markerless AR on iOS Safari and Android Chrome through WebXR fallbacks and SLAM via JavaScript. We design experiences with progressive enhancement — base USDZ on iOS Safari, full 8th Wall AR on supported browsers, and native ARKit and ARCore apps for the deepest experiences. We will tell you up front what each tier delivers and lose the budget conversation rather than oversell.

We can scope and deliver simulation work for defence-adjacent clients through prime integrators such as ST Engineering, DSTA-approved vendors, and academic research labs at NTU, NUS, and SUTD. Our team holds clean records suitable for clearance review, but we typically engage as a delivery partner under a primed contract rather than directly with MINDEF or DSO — the procurement pathways for direct defence work are tightly controlled and slow. For Home Team Academy training scenarios (SPF, SCDF) we have shipped through partner systems integrators. Our deliverables include after-action review tooling, scenario authoring interfaces, and integration with existing simulation infrastructure (DIS, HLA standards where required). Classified content stays inside customer environments — we work on declassified or sanitised assets and integrate at the unclassified boundary. For genuinely classified work, we recommend working with cleared Singapore primes and treating us as a possible sub-contractor.

Without measurement, VR training is theatre. We instrument every training module with completion telemetry (start, abandon, complete, retry), scenario performance metrics (decision quality, time to completion, error categories), and post-session knowledge retention checks delivered through your existing LMS. For onboarding scenarios we compare time-to-productivity for VR-trained cohorts against traditional cohorts over the following 90 days. For safety training we track incident rates and near-miss reports for the trained population versus the control. For soft-skills training we use validated assessment instruments (often through your HR or L and D partner) before and 30 days after. Dashboards run on AWS QuickSight or Looker Singapore with SGD-denominated cost-per-trained-user calculations alongside outcome metrics. We provide a baseline measurement plan in the discovery phase and adjust the build to make ROI measurable from day one rather than retrofitting analytics into a finished product.

A standard enterprise VR training programme (three to five modules, Meta Quest 3 fleet, LMS integration, English plus Mandarin localisation, MDM deployment) runs sixteen to twenty-two weeks. Week 1 to 3 is use-case validation, scenario design with your subject matter experts, PDPA review, and SME interviews. Week 4 to 6 is a clickable prototype of the highest-value module on the target headset. Week 7 to 16 is full content production in two-week sprints, with playtest sessions every other week. Week 17 to 20 is MDM rollout configuration, LMS integration, and pre-production user acceptance testing with a pilot user group of 20 to 50 trainees. Week 21 to 22 is fleet rollout and operational handoff with English and Mandarin operator runbooks. A single WebXR product configurator typically runs eight to twelve weeks. A mobile AR retail app with ARKit and ARCore runs fourteen to twenty weeks for both platforms.

Yes. We have integrated VR training analytics with Cornerstone OnDemand, SAP SuccessFactors, Workday Learning, Docebo, Moodle, and homegrown LMS platforms common in Singapore enterprises. Standard integration uses xAPI (Experience API, sometimes called Tin Can) for granular learning event streaming into your Learning Record Store, or SCORM 2004 when your LMS is older and SCORM is the only supported standard. For Workday and SAP SuccessFactors we use SCIM for user provisioning and OAuth 2.1 for single sign-on into the VR app. HR system integration — promotion gates triggered by training completion, compliance attestation workflows, certification tracking — runs through your LMS rather than direct system-to-system coupling. We document the integration architecture in English and (on request) Mandarin for your L and D and IT operations teams, with runbooks for adding new modules, retiring old ones, and adjusting analytics queries as your reporting needs evolve.