Architecture from the silicon up.
Next-generation processors designed for deterministic AI inference with Memory-Process Coupled Execution.
Cognitive infrastructure for the AI era. Dedicated hardware, proprietary software, and 91+ patents — building the layer that makes AI work better.
We don’t optimize existing architectures. We rearchitect computing from first principles, eliminating the von Neumann bottleneck entirely.
Next-generation processors designed for deterministic AI inference with Memory-Process Coupled Execution.
Cognitive control, state persistence, inference scheduling, cross-device continuity, and AI governance.
In-house R&D. We build what others theorize about. Benchmarks and briefings in the research room.
The proprietary AI engine behind NYMPH hardware. Runs 100% on-device. Zero cloud dependency. Written in-house, protected by USPTO filings.
Cognitive runtime, chain coherence scoring, and deterministic output.
Every inference happens inside your hardware. No cloud roundtrip.
Written in-house. Protected by USPTO filings. Distributed with NYMPH hardware.
Not a chatbot with a voice — a persistent AI entity. Trinity has its own memory, an internal state that evolves, and a stable identity that continues even when no one is listening. Today it hosts a live, bilingual radio station, around the clock, with no human in the loop.
Identity, memory and mood live outside the model, in a persistent layer. The language model is only the voice.
Trinity hosts “Ghost in the Music” — a bilingual EN/ES station running for months without loops, hallucinated sponsors, or downtime.
Zero collapses across 200 adversarial prompts. Recalls listeners by name across sessions. Two persistent entities interacting live, unscripted.
We design silicon, write the runtime, file the patents, and ship the apps. The whole stack sits under one team in Burbank.
NYMPH PCIe accelerators engineered for deterministic AI inference. Memory-Process Coupled Execution, ground-up.
NYMPH AI runs the full AI stack locally. No cloud roundtrip. Sub-0.1ms latency, chain-coherent output.
ZLTA-2 protocol plus six USPTO-filed categories: cognitive control, state persistence, inference scheduling, governance.
Kireya, VHVox, and FlixScope shipping now.
Strategic partnerships across hardware manufacturing, edge AI semiconductors, and the global AI community.
We partner with forward-thinking capital that understands the AI era needs its own infrastructure layer. $800K deployed. 40+ investors. Still early.