Automate visual analysis for healthcare securely

Process medical imaging, monitor patient safety, and track lab samples. EyePop.ai delivers HIPAA-compliant computer vision with zero latency and no manual tagging.

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Trusted by industry leaders

Get clear, structured data your medical systems can use

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Patient safety monitoring

Automatically detect falls, unauthorized movement, or patient distress in real-time using existing room feeds ensuring rapid response without compromising privacy.

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Medical sample tracking

Track vials, test tubes, and samples through lab workflows. Eliminate manual scanning and ensure 100% traceability for critical biological assets.

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Surgical intelligence

Monitor sterile fields, track surgical instrument usage, and log procedure timestamps automatically to optimize OR efficiency and compliance.

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PPE & hygiene compliance

Verify mask usage, glove protocols, and hand-washing compliance in sensitive zones to reduce infection risks and automate safety auditing.

Smarter care from the start

Seamless Implementation with Zero ML expertise required

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HIPAA-Compliant by design

Your data never touches the cloud. All inference runs locally on your own servers, ensuring total patient privacy and compliance with strict data residency regulations.

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Real-time latency

Analyze video feeds and imaging instantly. No round-trip to the cloud means split-second detection for critical alerts like patient falls or surgical anomalies.

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Feed results directly into EHR & PACS

Seamlessly integrate structured visual data into your Electronic Health Records or PACS workflows. Automate reporting and reduce administrative burnout.

{ How it works }

From images and video to answers in a fast, flexible rollout

We start with the decisions you need to make, then translate images and video into reliable answers your teams can act on. EyePop.ai’s visual intelligence platform lets you validate questions quickly, iterate without redeployments, and scale only what proves valuable.

  • 1
    Define the decisions you want to automate or accelerate.
  • 2
    Test real data across multiple models to confirm signal quality.
  • 3
    Measure accuracy, consistency, and failure modes before production use.
  • 4
    Apply the right model, prompts, and routing for your task.
  • 5
    Integrate quickly using familiar tools and workflows.
  • 6
    Detect drift and performance issues as new data arrives.
Six-step workflow diagram illustrating automation process: 1. Discovery call with person icon, 2. Prompt and model validation with laptop and shield, 3. Evaluation with presentation board, 4. Configuration with gears and cubes, 5. Production integration with code on laptop and cloud, 6. Continuous monitoring with magnifying glass over graph.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.
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Works with existing IP cameras and medical imaging

No need to rip and replace hardware. EyePop.ai connects to your current RTSP streams, directory folders, or imaging uploads.

Add structured outputs to clinical dashboards

Push tags, alerts, and counts directly into your existing operational dashboards or alert systems via webhooks and standard APIs.

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Powered by EyePop.ai

Visual Intelligence 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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See if your organization is a fit

We'll guide you through outcomes you’re driving  and identify the highest-value visual moments, outline what’s realistic, and recommend a rollout plan your team can execute quickly.

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