Proof

Evidence behind VeeRuby's XR work.

A public proof page for buyers and partners: research foundation, operating experience, public demos, recognitions, and delivery boundaries. Demos prove capability; scoped pilots still need clear requirements and success criteria.

ScholarResearch profile SensorsAR and ray tracing paper IEEEX-Reality AR + IoT paper ICDT AwardBest Paper PDF IARIAConference program SpringerMixed reality book SiliconIndiaVeeRuby profile YouTubePublic video archive
Research Foundation

Published XR research supporting the direction.

VeeRuby's direction is supported by published XR research, Harmony system design work, and a public lab where selected experiments remain visible.

  • 3 peer-reviewed publications plus public research records
  • Best Paper Award, ICDT 2018
  • Harmony and OpenSpatialAI as active research and prototype directions
Operating Experience

Research, product, and delivery experience.

  • Texas State X-Reality Lab research roots
  • Ong Innovations product and deployment experience
  • VeeRuby systems work across healthcare, training, education, and enterprise XR contexts
  • US and India project background
Delivery boundaries

Procurement and delivery boundaries are explicit.

  • Commercial work requires a written SOW or agreement
  • No confidential, regulated, or credential material through public forms
  • Security, privacy, IP, accessibility, and deployment constraints are captured before build
  • Project fit is clearest for discovery, prototype, pilot, and architecture-review work
Best-fit engagement

Scoped pilots over vague transformation programs.

The best buyer fit is a focused XR or applied AI pilot with clear devices, users, data boundaries, success criteria, and a decision point before broader deployment.

Public recognition

Third-party references add context to VeeRuby's XR record.

Public rankings, research links, and company references provide external context for the work. They are evidence points, not a substitute for project-specific due diligence.

Research award

Best Paper Award, ICDT 2018.

This external reference connects the AR/ray-tracing research with the broader XR research trail.

Demo and delivery evidence

Public demos help buyers evaluate fit.

The categorized demo library helps teams understand relevant work before scheduling a call.

Public references

External references

How to read this page

Prioritized proof

Peer-reviewed work, publisher records, public rankings, and demos carry more weight than unsupported award lists. This page keeps the proof layer limited to evidence that is already public.

Selected ecosystem and project contexts

Selected organizations, programs, and project contexts connected to VeeRuby's XR, education, and research-adjacent work.

Ong InnovationsMixed reality delivery and product collaboration
DeGen MedicalHealthcare visualization and workflow context
Mixed Reality DocumentationPublic documentation and ecosystem contribution context
SensAIHackathon mentorship context for spatial-memory XR prototypes
XR BootcampXR education and professional learning ecosystem context
XR Education TracksLabXR and training-oriented XR delivery contexts

Recognition and ecosystem support

Recognition, ecosystem support, and public references connected to VeeRuby's XR work.

SiliconIndia 202110 Best AR/VR Startups ranking SiliconIndia 202310 Best AR & VR Startups ranking VeeRuby ProfilePublic company profile and context reference
MSME Idea HackathonGovernment-backed grant support connected to VeeRuby's applied XR work
Ecosystem RecognitionSJCE STEP and Beyond Bengaluru references documented through available materials

Archived product initiatives

Earlier VeeRuby product experiments across XR learning, lab workflows, and applied AI. These are not currently active products, but they show product thinking and prototype-to-system experience.

LabXR

Earlier XR lab and immersive learning initiative connected to VeeRuby's experimentation and education work.

Archived initiative

XR Academy

Earlier XR learning and training initiative focused on workshops, education, and skill development.

Archived initiative

AI Translator App

Applied AI utility prototype exploring translation workflows and lightweight product experimentation.

Prototype / not currently active
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