Bring AI-powered vision inside your walls

Fast, secure on-site visual intelligence

Deploy secure, private automation that understands images and video without sending data to the cloud. On-Premise gives you the power and speed of our platform, hosted entirely on your hardware.

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Trusted by industry leaders

{ Why On-premise }

Keep your data where it belongs. Under your control.

For teams where compliance, privacy, or bandwidth make cloud impractical, EyePop.ai On-Premise offers a fully contained environment that plugs into your operations without sacrificing speed or accuracy.

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Private & secure

All processing happens on your network.

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Faster throughput

Process video without latency.

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Custom fit

Tailored to your environment.

{ How it works }

Your guided path to a deployed solution

Eliminate the guesswork. Every step is streamlined for you. From early scoping through training, refinement, and secure on-premise deployment producing real results.

  • 1
    We talk through your goals and learn what success looks like for you.
  • 2
    You share a few example images or videos. We test whether the task is a good fit for vision AI and outline the simplest path to a working solution.
  • 3
    You collect a small set of images. We help organize them so the system can learn what to look for, then we train an AI model that understands your specific use case.
  • 4
    We choose the right device to run your model. You pick from validated options that match your environment, whether you need edge devices, on premise servers, or lightweight units.
  • 5
    The model is fine tuned and optimized for your hardware. This step makes sure it performs fast and accurately in real conditions.
  • 6
    Your solution goes live. It runs locally and securely, processing your images or video in real time.
Six-step flowchart showing On-Prem process: 1. Discovery call with speech bubble icon; 2. Feasibility with presentation board icon; 3. Model training with computer and gear icon; 4. Optimization with target and arrow icon; 5. Hardware selection with laptop and checkmark icon; 6. Deployment with building and padlock icon.Six-step flowchart showing On-Prem process: 1. Discovery call with speech bubble icon; 2. Feasibility with presentation board icon; 3. Model training with computer and gear icon; 4. Optimization with target and arrow icon; 5. Hardware selection with laptop and checkmark icon; 6. Deployment with building and padlock icon.
{ Who it's for }

Teams that can’t compromise on security or speed

Designed for organizations where privacy, precision, and reliability are non-negotiable.

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Protect privacy while modernizing operations

Run AI-powered vision entirely on-premise to keep PHI secure while improving workflow efficiency, asset tracking, and compliance — without relying on cloud infrastructure.

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Operational intelligence that stays inside your facility

Deploy AI models locally to monitor production lines, validate shipments, verify safety compliance, and streamline operations with full data control.

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Campus safety and analytics that stay on campus

Process video feeds locally to support door monitoring, lab compliance, behavior alerts, and facilities oversight — while maintaining strict privacy for students and staff.

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Intelligent city operations without cloud exposure

Process live video feeds locally to support traffic flow analysis, public-space monitoring, facility oversight, and safety alerts — all while keeping city data fully contained.

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On-site visual automation for guest and staff operations

Enhance safety, floor operations, service quality, and compliance with on-premise vision analytics that protect guests and preserve confidentiality.

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In-store analytics without external data exposure

Analyze shelves, queues, layouts, and safety conditions using on-premise vision models that protect customer privacy and standardize reporting across every location.

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White-label, on-premise vision built for client trust

Deliver privacy-first AI solutions that integrate directly into your platform or workflows — letting you offer advanced visual automation without cloud dependencies.

Healthcare (HIPAA-sensitive data)

Protect privacy while modernizing operations

Run AI-powered vision entirely on-premise to keep PHI secure while improving workflow efficiency, asset tracking, and compliance — without relying on cloud infrastructure.

Patient lying in a hospital bed covered with a blue blanket while two doctors in white coats review a clipboard near medical equipment and an eye chart.

Manufacturing & logistics

Operational intelligence that stays inside your facility

Deploy AI models locally to monitor production lines, validate shipments, verify safety compliance, and streamline operations with full data control.

Worker wearing safety glasses but no helmet, pointing at a control panel in an industrial setting, with a violation warning for missing helmet and text checking personal protection equipment.

Campus safety

Campus safety and analytics that stay on campus

Process video feeds locally to support door monitoring, lab compliance, behavior alerts, and facilities oversight — while maintaining strict privacy for students and staff.

Empty classroom with rows of desks, an American flag, a chalkboard, and a window left open with a warning for potential vulnerability.

Smart city

Intelligent city operations without cloud exposure

Process live video feeds locally to support traffic flow analysis, public-space monitoring, facility oversight, and safety alerts — all while keeping city data fully contained.

Crowd of pedestrians crossing a city street with a blue box around a man flagged as person of interest and a pop-up showing alert details.

Hospitality

On-site visual automation for guest and staff operations

Enhance safety, floor operations, service quality, and compliance with on-premise vision analytics that protect guests and preserve confidentiality.

Busy bar interior with patrons sitting and standing near the counter, highlighted with blue boxes labeled 'Patron,' and a graph labeled 'Peak Capacity' at the bottom.

Retail & franchise networks

In-store analytics without external data exposure

Analyze shelves, queues, layouts, and safety conditions using on-premise vision models that protect customer privacy and standardize reporting across every location.

Overhead view of a grocery store produce section with multiple customers shopping and blue boxes labeling detected people with confidence scores, alongside text highlighting Edge AI monitoring and customer count.

Agencies & tech platforms

White-label, on-premise vision built for client trust

Deliver privacy-first AI solutions that integrate directly into your platform or workflows — letting you offer advanced visual automation without cloud dependencies.

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What teams use On-Premise for

Real on-premise automations our customers run today—no cloud upload required.

Empty classroom with rows of desks, an American flag, a chalkboard, and a window left open with a warning for potential vulnerability.
Worker wearing safety glasses but no helmet, pointing at a control panel in an industrial setting, with a violation warning for missing helmet and text checking personal protection equipment.
Patient lying in a hospital bed covered with a blue blanket while two doctors in white coats review a clipboard near medical equipment and an eye chart.

Powered by EyePop.ai

On-Premise runs on the same proven core as EyePop.ai Cloud.

You get the same workflows, hybrid options, and access to our partner network for labeling, support, and optimization.

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Simple pricing. Scales with you.

Pay only for the boxes you run—no per-camera or per-frame billing.

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Monthly costs

Clear, scalable monthly investment tied only to your active on-prem boxes.

Volume
Price per box
1–10 boxes
$250/mo
10–100 boxes
$200/mo
100–1,000 boxes
$150/mo
1,000+ boxes
Contact us

Fixed costs

Client-purchased hardware

You’ll purchase your own hardware, and we’ll guide you through every step. Estimated cost is about $1,500 per box.

Upfront configuration and model tuning

A one-time fee beginning at $5,000 covers end-to-end setup.


See if your organization is a fit

Our engineers will review your setup, data requirements, and ideal outcomes, then outline the best configuration for your team.

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