Phase 2 integrations
GA4 · Planned
HubSpot · Planned
Apollo · Planned
LinkedIn Ads · Planned
Google Ads · Planned
Search Console · Planned
Phase 1 is document-driven: all data on this site traces to the research seed.
Messaging Architecture
Category, positioning, and the six core message pillars
Category & positioning
Video-Native Edge AI Platform & Design-In Partner
Positioning · EN (US-facing)
YUAN transforms complex video sources into production-ready edge intelligence.
Positioning · zh-Hant (internal)

Yuan 將複雜影像來源轉化為可量產、可部署的 Edge Intelligence。

07 · Message
Six core message pillars

Every message must connect to a demonstrable product, reference design, benchmark, or integration proof—otherwise it is abstract brand language. Unproven pillars stay marked as hypotheses in the claim ledger.

01
From Any Video Source to AI
SDI, HDMI, GMSL, IP, USB, PCIe, and legacy video feed one unified AI pipeline.
02
No Dropped Frames. No Lost Context.
Prove reliability with stream count, p95 latency, frame-drop rate, sync error, thermal, and utilization data.
03
Prototype to Production
Architecture, EVK, BSP/SDK, validation, certification, through mass production.
04
Modernize Existing Video Infrastructure
Keep existing cameras and VMS; edge inference turns video into metadata and events.
05
Physical AI Starts with Reliable Perception
Multi-camera perception, sensor-to-GPU latency, Holoscan, ROS 2, Isaac, and Thor migration.
06
Design Once, Deploy Across Platforms
The NexVDO cross-platform API reduces processor lock-in and software porting cost.
05 · Position
Competitive framing to avoid—and the differentiation to claim

The most valuable rival is not a single company: it is the integration risk customers absorb when they stitch multiple vendors together themselves.

Industrial Jetson boxes (Advantech, AAEON, ASUS, DFI)

Avoid TOPS / size / I/O price wars

Professional video, FPGA, SDK, low latency, design-in

Jetson specialists (Connect Tech, Forecr, Aetina)

Avoid connector and form-factor comparisons

Complete capture-to-inference pipeline

Camera / sensor (e-con, Leopard, FRAMOS)

Avoid MIPI / GMSL-camera-only conversations

SDI, HDMI, legacy, ProAV, AV-over-IP breadth

AI software (Lumeo, Viso.ai, Roboflow)

Avoid unevidenced end-to-end AI claims

The production video / hardware enablement layer for ISVs

VMS / analytics (AxxonSoft, Vaidio)

Avoid algorithm feature-count races

Multi-camera ingest, sync, edge appliances, VMS bridge