ANSMIND
AI OSThe AI operating system — vision fused with a local LLM, AI apps and crew coding, 100% on-device.
Explore ANSMIND ›The platform
One on-premise platform takes AI from the first labelled image to a managed fleet — four steps, four products, nothing in the cloud.
Step 1 · Train — ANSTS
ANSTS is the training studio: label your images, press start, and watch loss and accuracy converge live. Detection, segmentation, oriented boxes — exported ready for the edge.
Step 2 · Run — ANSBOX + ANSMIND
ANSBOX is the on-prem device; ANSMIND is its AI operating system. Every vision task, a local LLM, and both fused — plus a catalogue of AI apps and an AI coder — with nothing leaving the site.
Step 3 · Understand — ANSVIS
ANSVIS is the intelligent vision system: run many AI tasks across many cameras, draw zones and schedules, and trigger real actions — HTTP calls, loggers, alarms — the moment a rule fires.
Step 4 · Manage — ANSCMS
ANSCMS is the centralised management console: create organisations, model their sites, assign ANSBOX/AIBOX devices, enable AI applications and give every person the right role.
See it running
From the training studio to the fleet map — every stop on the journey.
Products
The AI operating system — vision fused with a local LLM, AI apps and crew coding, 100% on-device.
Explore ANSMIND ›The on-prem AI device that runs ANSMIND OS — any AI vision task, a local LLM, or both fused.
Explore ANSBOX ›Real-time AI video analytics — detect, apply smart rules and trigger any system, on-premise.
Explore ANSVIS ›No-code training studio. Label, train and deploy custom models without writing code.
Explore ANSTS ›Centralised management for organisations — devices, AI apps, users and sites in one web console.
Explore ANSCMS ›Vision & LLM models inside NI LabVIEW — VI toolkits and ready-to-run examples for G developers.
Explore LabVIEW Integration ›Private by design
Training data, video, language models and knowledge bases live on your own devices. The cloud only relays encrypted alerts and updates — no frames, no transcripts, no per-camera fees.
Pick by what you need
Tell us about the deployment and we'll recommend the right combination — and show it running on real hardware.