Every branch. Every team.
One place.
Each branch is isolated — its own schema, team, API key, and AI configuration. Admins see the full picture; members see only their scope. Nothing leaks between tenants.
Everything your teams need
to run and grow.
Team management, data ownership, analytics, and automation — all in one operating layer your branches run on.
True multi-tenancy.
Infrastructure-level.
Each organization is fully isolated — its own data, models, and pipelines. The AI Platform sits at the center orchestrating insights without ever mixing tenant contexts.
AI that runs inside your network,
on hardware you already own.
Deploy models to the edge.
Keep your data private.
Train your model externally — on AWS, Azure, or Hugging Face — then deploy it to any edge node in one click. Inference runs on-prem; only structured detection events reach our platform. No video, no raw data, no cloud exposure.
Deploy on the hardware
you already have.
One agent — installed once, runs anywhere. NVIDIA Jetson, ASUS IoT, Apple Silicon, or any x86 industrial PC.
Train anywhere.
Deploy everywhere.
VisionEngine is model-agnostic. Train on any platform, label on any tool — we handle versioning and deployment to every edge node automatically.
Train YOLO-based detection, segmentation, OBB, and pose models on your own data — then deploy and version them across all edge nodes with one push.
