AR & VR Development Company in Toronto

Three delivery targets cover most Toronto XR briefs: a short-form WebAR campaign for retail or tourism, a training VR module on Quest 3 with a single scenario and analytics dashboard, or a surgical rehearsal application on Vision Pro with PHIPA-compliant logging and clinical UAT. Toronto AR and VR projects price in CAD against local studio rates, which sit above Western Canada because of the Sheridan and OCAD U talent draw. Museum-grade roomscale installations are scoped project by project, driven by hardware count and content runtime. Hardware procurement (Quest 3, Vision Pro, HoloLens 2) is itemised separately and passed through at cost.

AODA's Integrated Accessibility Standards Regulation (IASR) and the underlying WCAG 2.0 Level AA, with Ontario tracking toward WCAG 2.2 AA, both apply to digital content that customers and the public encounter. For XR that means captioned audio, alt-input parity (seated mode, single-controller fallback, voice control), comfort settings (vignetting, snap-turn, motion intensity), text sizing within VR UI, and an explicit accessibility statement on the storefront listing. We test against the XR Access Initiative checklist, run a third-party AODA review on customer-facing experiences before launch, and document remediation paths for issues that cannot be fully resolved at the engine level.

Meta Quest 3 and Quest 3S are the default for cohort training because Meta Quest for Business plus ArborXR or ManageXR give Ontario IT teams MDM-grade fleet control, the price per device works for batched rollouts of fifty to five hundred units, and the content library is mature. Apple Vision Pro is the right call for executive demos, premium clinical scenarios, and Apple-shop enterprises already running iPhone and iPad fleets through Apple Business Manager. HoloLens 2 stays in service for industrial work-instruction overlays where line-of-sight to real equipment matters and Microsoft 365 integration is the operating context. We help you run a two-week side-by-side pilot before committing to a fleet purchase.

Yes. PHIPA-aligned clinical XR is one of our core practices. We sign Data Sharing Agreements through the client's privacy office, keep all PHI inside AWS ca-central-1 or on-prem rendering nodes, log every patient interaction with timestamped session data, and produce a Privacy Impact Assessment before any 3D production begins. Surgical rehearsal builds are scoped against Research Ethics Board protocols at UHN or SickKids when the deployment includes clinical study data collection. Patient-facing builds include a clinician override and a session pause that meets Ontario consent withdrawal requirements. We have shipped to clinical IT environments that demand offline-capable headsets and air-gapped content delivery.

AIDA classifies systems that infer behavioural or biometric information as potentially high-impact, and XR applications that use eye-tracking, gaze analytics, expression capture, or galvanic skin response sit squarely inside that bucket. Our discovery phase runs an AIDA classification before any biometric SDK is enabled. If the use case lands high-impact we build with explicit consent flows, on-device processing where the hardware supports it (Vision Pro and Quest Pro can keep gaze data local), aggregated rather than per-user telemetry, and a model card if the biometric data trains any downstream inference. The Office of the Privacy Commissioner has signalled that biometric inference falls under PIPEDA meaningful consent regardless of AIDA's enactment timeline, so we ship that posture by default.

Sheridan College's animation and game design programs and OCAD University's Digital Futures graduate studio are two of the strongest XR talent pipelines in North America, and we recruit and contract against that pool. For applied research collaborations (spatial audio, hand-tracking accuracy, gaze-contingent rendering) we scope partnerships with the University of Toronto's Dynamic Graphics Project and Interactive Media Lab when a project genuinely needs novel research rather than productionisation. We are participants in the MaRS Discovery District XR cohort and the TIFF Industry Conference immersive track, which gives our clients access to local distribution and exhibition channels when the project is content-led rather than enterprise-led.

A single-scenario Quest 3 training module with analytics and an MDM-deployable build takes twelve to eighteen weeks. Week 1 to 3 is discovery, instructional design with the client's L and D team, and an AODA accessibility plan. Week 4 to 10 is production, with weekly demo builds delivered through Meta App Lab. Week 11 to 14 is UAT on the actual fleet hardware, MDM packaging through ArborXR or ManageXR, and an internal pilot cohort. Week 15 onward is gradual rollout with a content update cadence we set with the client. Multi-scenario curricula stack additively, typically four to six weeks per additional scenario once the framework and analytics layer is built.

Novel XR work often qualifies for the federal Scientific Research and Experimental Development (SR&ED) program, which returns 35 percent refundable credit on eligible R&D spend for Canadian-controlled private corporations up to the $3M expenditure limit. Eligible activity for XR typically includes new interaction paradigms, novel rendering or perception algorithms, hand-tracking or eye-tracking research, and systematic experimentation with hardware constraints. Routine content production and asset creation do not qualify. The Ontario Interactive Digital Media Tax Credit (OIDMTC) can stack on eligible interactive entertainment portions. We deliver time-tracked logs, technical narratives, and failed-hypothesis records aligned with the CRA T661 form, but final eligibility sits with your SR&ED consultant and the CRA.