VisionEngine
AI PLATFORM · MULTI-BRANCH · ON-PREM

Run every branch
with one AI platform.

Manage your teams, deploy AI models, run data pipelines, and grow every branch — all from a single, secure, multi-tenant control plane.

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Branch IntelligenceTeam ManagementAI Model DeploymentData PipelinesSQL AnalyticsComputer VisionDeep LearningEdge AI NodesRole-Based AccessAutomated ReportsMulti-Tenant PlatformReal-Time DashboardsModel VersioningETL IngestionPerformance KPIsML SaaSBranch IntelligenceTeam ManagementAI Model DeploymentData PipelinesSQL AnalyticsComputer VisionDeep LearningEdge AI NodesRole-Based AccessAutomated ReportsMulti-Tenant PlatformReal-Time DashboardsModel VersioningETL IngestionPerformance KPIsML SaaS
THE PLATFORM

Your branches.
One connected workspace.

Bring edge detections, branch data, dashboards, and reports into one place. Give each team access to the branches they work with.

VISION ENGINE / BRANCH WORKSPACEIllustrative preview
BRANCH OVERVIEW

Home Lab

Edge → structured data

Cameras & nodes

See camera context and reported device health.

Your dashboard

Build views from the data your branch collects.

Rules & alerts

Review operational events and matched notifications.

Reports & exports

Capture a period of activity and share the results.

Edge servicesBranch dataTeam insights

Configure processing on the device. Explore the results in your branch workspace.

See how it connects
OPERATIONS PLATFORM

Everything your teams need
to run and grow.

Team management, data ownership, analytics, and automation — all in one operating layer your branches run on.

ISOLATION ARCHITECTURE

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.

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Org-Level Isolation
Every organization gets its own sandboxed environment — separate data lakes, model registries, and dashboards. Nothing leaks across boundaries.
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Role-Based Users
Users, operators, and admins are scoped strictly to their org. Permissions never bleed into a neighboring tenant.
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Shared AI Core
The AI Platform at the center routes inferences and insights to each org independently — shared compute, isolated context.
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Zero Cross-Contamination
Data pipelines, ETL jobs, and analytics queries are namespaced per org. No query can touch another tenant's records.
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Branch Management
Create, configure, and isolate every branch. Each one gets its own schema, API key, team, and AI configuration — no data ever crosses tenant boundaries.
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Team & Access Control
Invite members to specific branches, assign roles, and manage your entire organization from one place. Admins see everything; members only see what’s theirs.
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Data Pipelines
Ingest from any structured source — detection events, POS, IoT sensors, or custom APIs. Every branch gets its own PostgreSQL schema with full ETL support.
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SQL & Analytics
Write SQL directly against any branch schema. Join across branches, build custom KPIs, export data, or connect your BI tool of choice to our live endpoints.
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Automated Reports
Schedule AI-generated operational reports per branch. Summaries, anomaly highlights, trend analysis — delivered without manual work.
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Performance KPIs
Define custom metrics per branch. Track occupancy, throughput, dwell time, event frequency — anything your operation measures, surfaced in a unified dashboard.
AI & COMPUTER VISION

AI that runs inside your network,
on hardware you already own.

Computer vision detection
NODE 01 · LIVE INFERENCE
Object DetectionTrackingRules
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EDGE NODE
structured rows
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DASHBOARD

Deploy models to the edge.
Keep your data private.

Train a compatible object-detection model with your preferred tools. Add its weights to the device, select it in YAML, and generate the deployment. Processing stays local; the ingest service forwards structured rows to your branch.

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Ultralytics detection
Use compatible YOLO detection weights with explicit model versions and device settings.
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Zero video egress
Inference stays on the edge. Only structured JSON events are transmitted.
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Live event streaming
Detection events feed your dashboards, pipelines, and SQL tables in real time.
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Independent services
Camera capture, inference, tracking, rules, and delivery run in separate containers.
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Configuration you control
Change YAML, validate the plan, and recreate only the services affected by your update.
EDGE HARDWARE

Deploy on the hardware
you already have.

Independent Docker services, configured for your device. Start on a Raspberry Pi or x86 PC; use a compatible GPU runtime for NVIDIA Jetson.

Jetson Orin
Jetson Orin
NVIDIA · compatible GPU runtime
ASUS IoT Edge
ASUS IoT Edge
CPU · accelerator support varies
Mac mini
Mac mini
CPU containers · native Metal
Fanless Edge PC
Fanless Edge PC
x86 · industrial
Edge Server
Edge Server
on-prem rack / tower

Match the image architecture, model format, and drivers to your board. Performance depends on the model and camera load; containers do not provide accelerator drivers automatically.

ML ECOSYSTEM

Train anywhere.
Deploy everywhere.

Bring compatible detection weights from your training workflow. Connect cameras, models, and services with YAML, then run the generated Docker Compose deployment on your device.

Ultralytics
UltralyticsDETECTION RUNTIME

Run pretrained or custom YOLO object-detection models. Keep model identity, thresholds, device selection, and camera assignments in configuration.

YOLO26YOLO11YOLOv8Custom detectionCPU / compatible GPU
View docs
PACKAGE EACH SERVICE

Docker

Separate images and dependencies for camera capture, inference, tracking, and delivery.

RUN THE PIPELINE

Docker Compose

One generated entry point gathers service definitions, connections, and persistent volumes.

BUILD ONE STAGE AT A TIME

Microservices

Explicit inputs and outputs make each stage easier to inspect, update, and reuse.

TOOLS FOR YOUR TRAINING & LABELING WORKFLOW
AWS SageMaker
AWS SageMaker
Managed training pipelines
Hugging Face
Hugging Face
Open-source models & inference
Roboflow
Roboflow
Dataset labeling & model deploy
Azure ML
Azure ML
Enterprise MLOps at scale
Edge Impulse
Edge Impulse
On-device model optimization
Google Cloud
Google Cloud
Vertex AI & managed ML pipelines

Training and labeling happen in your chosen tools. Export compatibility depends on the model and installed runtime; these logos do not imply managed connectors or partnerships.

READY TO DEPLOY · ON-PREM · MULTI-TENANT

Connect your teams,
your AI, and every branch.

Start running your operations on a platform built for AI. Secure, on-prem, multi-tenant — and ready to scale from one branch to hundreds.

lanMulti-Branch
manage_accountsTeam Roles
device_hubData Pipelines
query_statsSQL Analytics
developer_boardEdge AI