We don't rent our competitive advantage from a cloud provider. We build local-first, hardware+software, workflow-embedded AI.
AI is powerful but too complex for most users. 90%+ can't prompt-engineer effectively. We make AI invisible inside existing tools — observe, infer, act automatically.
Artists won't upload unreleased work to the cloud. Enterprises won't send proprietary data off-premises. We solve privacy with on-device inference — data never leaves.
Most AI companies are API wrappers with no moat. We own our inference stack — combining dedicated compute hardware with purpose-built software.
Musicians stay in Logic Pro, not a chatbot. AI must embed into tools people already use. The best AI companies won't feel like "AI companies."
Why Now
AI compresses 18-month builds into weeks. This is the fastest software adoption curve in history.
AI compute demand is growing faster than supply. $7T in data center CapEx needed by 2030. This is structural — not temporary.
Per-token prices falling 50x in 3 years, but the real risk isn't price — it's access. Cloud providers are already rationing.
Edge AI market: $25B today, projected $119B by 2033. On-device models now handle real production tasks.
Only 35% of businesses have deployed AI meaningfully. We're still in the early adopters phase — the massive opportunity is ahead.
Products
Each product built with defensibility competitors can't copy.
Software audio LLM — local-first, no cloud required, privacy by design. Embeds into existing music production workflows.
Hardware audio AI device with dedicated on-device inference. Validates our hardware+software hybrid thesis. Tangible, shippable product.
We build local-first, hardware+software, workflow-embedded AI. Let's talk.