Fruitful AI
Neo · The Platform

Build it on a laptop.Run it on the line.

Neo is the cloud lab where engineers design industrial vision systems — and the edge runtime where they ship them. One platform, idea to production. Same engineers who already know your line.

< 1 day

Avg. setup

Real-time

Edge inference

No-code

Pipeline editor

Lines / platform

The loop

Five steps. No detours.

From a fresh camera feed to a live model on the line — the whole loop runs in one place, with no handoffs and no glue code.

01

Connect

Register machines, cameras, and edge devices. One asset map for the whole fleet.

02

Capture

Stream from the line. Build datasets from the real footage of the real product.

03

Build

Drag-and-drop pipelines. Annotate. Train in the cloud — no ML team in the room.

04

Deploy

Push to the edge in one click. Real-time inference, right at the line.

05

Learn

Monitor every model. Catch drift. Retrain. Roll forward — or roll back.

The pipeline editor

Visual pipelines.
No code, no compromise.

Drag, connect, train. Every Neo pipeline is a graph of pre-built operators and vision models — assembled in the browser, trained on cloud GPUs, deployed straight to the edge.

Drag & connect

No code required.

Pre-built blocks

Start with what works.

Cloud → edge

One click to ship.

Pipeline · live preview

Input · 01Video InputCamera / RTSP
Operator · 02PreprocessColor, resize
Model · 03DetectFind what matters
Operator · 04CropFocus the frame
Model · 05Find AnomalyFlag the unusual
Model · 06ClassifySort & label
Operator · 07Custom CodeYour logic
Output · 08VisualizeStream to line
InputOperatorModelOutputTrained on your line · v3.2

Capabilities

Built for the engineers
who already know your line.

Asset management

Every machine, camera, and edge device — registered, configured, and observable from one place.

Annotation tools

Built-in labeling for the engineers who run the line. Fast, precise, and team-aware.

Visual pipeline editor

Compose vision systems by connecting operators and models. No code, but never less powerful.

Cloud → edge deploy

Train in the cloud, ship to the edge in one click. Versioned, signed, traceable.

Live monitoring

Telemetry from every line. Drift, anomalies, and runtime health in real time.

Versioning & rollback

Every dataset, pipeline, and model — versioned. Roll forward or roll back instantly.

How it's wired

Cloud-first. Edge-deployed. Floor-aware.

Neo runs in two places — Neo Cloud, where you train; Neo Edge, where the line gets its answer. Both halves of one platform, on the cameras and PLCs you already have.

Neo Cloud

The lab.

Design pipelines. Train on your line. Version, deploy, and orchestrate every machine from one cockpit.

  • Pipeline editor
  • Dataset & annotation
  • Model training
  • Fleet telemetry

Neo Edge

The runtime.

Where the line gets its answers — real-time, on-prem, deterministic. Resilient to bad networks.

  • Real-time inference
  • Local-first
  • Versioned deploys
  • Health & rollback

Floor

Your line.

Cameras, lights, PLCs — the equipment you already have. Trinity helps where it doesn't.

  • Camera-agnostic
  • PLC integration
  • Optics & lighting
  • Robotics-ready

Your line.
Smarter, by next week.

Show us a tough vision problem on your line. We'll show you what Neo does with it — often by next week.