Vision
Where Spatial Intelligence Is Going
This page is for technical leads, hiring managers, and anyone thinking seriously about where spatial computing is going. It explains what I'm building with Harmony and why it matters at scale.
"Spatial computing will become the primary interface between people and intelligent systems. The question is whether those systems will be stateless and siloed — or whether they will perceive, remember, and adapt."
— Varun Siddaraju · Harmony Framework, 2025
Harmony is built for the second future — adaptive, memory-driven, and designed from the ground up to treat physical space as a computational medium that learns.
Questions I Want to Answer
Can a spatial intelligence system develop genuine contextual understanding — not just pattern matching, but reasoning about people, intentions, and environments?
What happens when spatial memory persists across years, not sessions? How does the relationship between person and environment change?
How do we design adaptation that people trust — systems that explain their reasoning and respect human agency?
What does collaborative intelligence look like when multiple people share an adaptive spatial environment?
Can we build evaluation methods rigorous enough for real deployment validation — not just controlled demos?
Research Roadmap
Three phases, each building on the last. The goal isn't a single paper — it's a field-level contribution to how spatial intelligence is designed, evaluated, and trusted.
Harmony One
Complete Harmony One reference implementation. Establish a replicable evaluation methodology for spatial AI systems validated in controlled and real-world deployment settings.
Scale + Validation
Multi-user spatial intelligence and cross-environment transfer. Deploy OpenSpatialAI as a developer platform with standardized APIs. Run longitudinal studies measuring adaptation over months, not sessions.
Impact + Open Ecosystem
Publish community benchmark frameworks for spatial intelligence evaluation. Establish an open research ecosystem on Harmony principles — enabling other labs to build on, extend, and challenge the architecture.
Long-Term Impact
A future where spatial computing is perceptive, collaborative, and context-aware. Where technology adapts to people, not the other way around. Harmony is the intelligence layer XR has been missing — and the research needed to build it responsibly is a decade-long commitment.