What We Build
Wearable AI development is fundamentally different from building for a screen. Every decision is made in the context of the hardware it runs on and the real world it operates in.
Hardware-Linked Software
Production-ready code designed around the specific constraints and capabilities of wearable and spatial computing platforms. Not adapted from a mobile or desktop paradigm — built for the device from the start.
Spatial Interface Design
Interactions and UI patterns built for the space in front of you. Inputs, displays, and affordances designed for eyes-up, hands-busy, always-on contexts that screen-based thinking misses entirely.
AR Development
Augmented reality experiences that integrate cleanly with device hardware, live context, and real-world conditions. Built to hold up when the real world is unpredictable.
Prototype to Production
From early hardware development kits through to consumer-facing software that ships on schedule. Wearable timelines don’t wait — neither do we.
The Wearable Development Challenge
Building for wearable hardware is fundamentally different from building for a screen. These are the constraints that separate teams that ship from teams that stall.
SDK Volatility
Emerging hardware platforms ship SDK updates that break things. We build with platform volatility as a design constraint, not a surprise, and maintain the discipline to stay ahead of breaking changes without derailing the timeline.
Hardware Constraint Engineering
Wearable devices have fixed compute, thermal limits, and power budgets that don’t negotiate. Every architectural decision is made in the context of the actual hardware it runs on.
Real-World vs. Lab Conditions
Wearable experiences that work in a controlled environment often fail in real use. Lighting, movement, ambient conditions, and user behavior at scale all require engineering that goes beyond lab testing.
UX Without a Screen Paradigm
Mobile and desktop UI patterns don’t translate to spatial interfaces. Inputs, feedback loops, and affordances have to be rethought for contexts where your hands are busy and your screen is the world in front of you.
Who It’s For
Teams at the intersection of hardware and software, where the platform specs change fast and the playbook doesn’t exist yet. Specifically:
- Shipping on emerging hardware with evolving SDK constraints
- Building consumer experiences on enterprise hardware timelines
- Needing senior engineering that understands both the device and the user
- Working toward a launch date that won’t move
“For the teams that can’t afford to get it wrong — and know it. Wearable AI is not the place to learn how to ship.”
Common Questions
Do you work directly with hardware manufacturers?
When the engagement calls for it, yes. Wearable AI development often requires direct coordination with hardware teams to align on SDK timelines, access to pre-release hardware, and platform-level constraints that aren’t in the public documentation. We’re experienced working in these environments where the hardware itself is still changing.
How do you handle platform and SDK changes mid-development?
SDK volatility is a given on emerging hardware platforms, not an exception. We architect for it by isolating platform-specific code, maintaining abstraction layers that can absorb breaking changes, and tracking SDK changes as a first-class project concern. When a platform update breaks something, we want to know in hours, not days.
What does the path from prototype to production look like?
It depends on how much the prototype was built with production in mind. When we’re involved from the start, the prototype is a production-viable architecture at smaller scope — the path to production is expansion, not rewrite. When we’re coming in after a prototype exists, we do an honest assessment of what carries forward and what needs to be rebuilt before committing to a timeline.
Wearable AI Moves at Hardware Speed
If you’re building on a platform that doesn’t have a precedent yet, you need a partner who has been there before. Let’s talk about what you’re shipping and when.
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