pupil testing

PuRe™ Pupillometer

Perform accurate, lighting-invariant pupil reactivity tests on a smartphone to improve neurological assessments for ICUs and ERs without specialized hardware.

Paid only

Price not published

PuRe™ Pupillometer screenshot

About PuRe™ Pupillometer

Solvemed's PuRe Pupillometer is a smartphone-based, FDA-regulated Class I medical device designed to modernize neurological assessment. Unlike traditional penlight exams that are subjective or hardware-based infrared pupillometers that are bulky and sensitive to environmental changes, this Software-as-a-Medical-Device (SaMD) solution uses the phone’s camera and advanced computational algorithms to measure pupil size and reactivity. Its primary purpose is to provide clinicians with objective, repeatable data that is vital for monitoring neurological status in critical care settings, allowing for faster and more accurate clinical decision-making at the bedside. The tool features lighting-invariant technology, which ensures that measurements remain accurate regardless of ambient light conditions—a common point of failure for legacy hardware. It operates through the Solvemed mobile app, which utilizes secure authentication frameworks and high-resolution optical sensors to capture data. Information is processed in a SOC2- and HIPAA-compliant secure cloud, and the system can optionally integrate with major hospital Electronic Medical Record (EMR) systems like Epic, Oracle, and Meditech. This connectivity allows for instant data uploads, effectively reducing manual entry errors and streamlining documentation within the clinical workflow. This tool is specifically designed for healthcare professionals working in high-stakes environments such as neuro-ICUs, trauma centers, stroke units, and emergency departments. It caters to physicians, nursing staff, and researchers who require standardized measurements to detect life-threatening complications like traumatic brain injuries. Because it resides on a smartphone, it eliminates the need for expensive, fragile hardware and the recurring costs of plastic disposables, making objective pupillometry more accessible and environmentally sustainable for hospitals of all sizes. What sets the PuRe Pupillometer apart is its proprietary and open-source PuRe score. This score is specifically engineered to be immune to lighting changes by using exposure levels and initial pupil size to compute lighting-corrected parameters. While conventional tools often show significant variability when moving between dark and bright rooms, Solvemed’s approach maintains clinical reliability across varying environments. This focus on software-driven assessment rather than proprietary physical hardware makes it a cost-effective alternative for modernizing neurological monitoring capabilities.

PuRe™ Pupillometer pros & cons

Pros

  • Maintains superior accuracy in varying ambient light conditions compared to conventional hardware pupillometers.
  • Eliminates the need for expensive hardware maintenance and the cost of recurring plastic disposables.
  • Supports seamless integration with major EMR systems like Epic and Oracle within 12 weeks.
  • Provides an objective, standardized PuRe score that reduces high inter-practitioner variability.
  • Highly portable and accessible because it resides as an app on the clinician's smartphone.

Cons

  • The application is limited to the iOS platform to leverage specific hardware and security frameworks.
  • Full EMR integration is an optional service and requires an additional setup period.
  • Requires a stable internet connection for cloud-based data processing and EMR synchronization.
  • Full pricing details and feature access require a formal demo and direct organizational contact.

PuRe™ Pupillometer use cases

  • Neuro-ICU nurses can perform rapid, objective pupil checks at the bedside without having to locate shared unit hardware.
  • Emergency room physicians can accurately assess traumatic brain injury patients in varying light environments to speed up surgical intervention.
  • Clinical researchers can utilize the open-source PuRe score to ensure standardized and repeatable data collection across multi-site studies.
  • Anesthesiologists can use the mobile app for accurate pupil examination as a standard part of their perioperative neurological assessment.
  • Hospital IT administrators can implement a HIPAA-compliant monitoring tool that bridges the gap between bedside exams and electronic records.

PuRe™ Pupillometer features

  • emr integration
  • hipaa & soc2 compliance
  • face id authentication
  • disposable-free operation
  • open-source pure™ score
  • fda class i medical device
  • lighting-invariant technology
  • smartphone-based assessment

PuRe™ Pupillometer pricing

Is PuRe™ Pupillometer free? No, PuRe™ Pupillometer doesn't offer a free plan.

Enterprise

Price varies

  • Lighting-invariant testing
  • Full EMR integration
  • HIPAA-compliant cloud
  • Open-source PuRe score
  • Disposable-free operation
  • Face ID authentication
  • Hands-on demo
  • Technical support

PuRe™ Pupillometer FAQs

What makes the PuRe score different from standard pupillary measurements?

The PuRe score is designed to be immune to ambient lighting changes by using exposure levels to compute lighting-corrected parameters. This ensures that a patient's neurological status is not misinterpreted due to the brightness of the clinical environment.

Does this tool require specific proprietary hardware?

No, the PuRe Pupillometer is a software-based medical device that runs on a standard smartphone, eliminating the need for expensive standalone hardware. It utilizes the phone's built-in camera and secure authentication features like Face ID.

Can the data be synced with our hospital's existing records?

Yes, Solvemed Connect allows for full integration with major EMR systems like Epic, Oracle, and Meditech, typically within a 12-week timeframe. This allows for instant, secure uploads of pupil reactivity data directly to patient files.

Is the tool compliant with healthcare privacy regulations?

The system is both HIPAA- and SOC2-compliant, utilizing industry-standard cryptographic algorithms for data both at rest and in transit. It also features secure cloud processing to ensure patient data privacy is maintained at all times.

Are there any recurring costs for disposables like plastic eye cups?

No, a primary benefit of this solution is that it is free from disposables, such as the plastic eye cups required by conventional infrared pupillometers. This significantly reduces both operational costs and environmental impact.

Open roles

All AI jobs

Postdoctoral Senior Research Associate – Human-Computer Interaction & Mobile Eye Biometrics

Benefits:

  • Pension scheme

  • Generous holiday entitlement

  • Training and development

  • Family Friendly policies

  • On campus childcare facilities

Education Requirements:

  • PhD in Human-Computer Interaction, Cognitive Neuroscience, Psychology, Behavioral Science, or a related discipline

Experience Requirements:

  • Experience in organizing and conducting experiments with human participants and technology

  • Knowledge of eye-tracking and/or pupillometry techniques is desirable

Other Requirements:

  • Strong written and verbal communication skills

Responsibilities:

  • Manage, prepare, and conduct eye-tracking experiments in lab and remote settings

  • Organize and curate large datasets, ensuring high-quality data collection and analysis

  • Develop questionnaires and conduct fieldwork to support research objectives

  • Identify trends and patterns in eye-tracking and pupillometry data

  • Conduct qualitative and quantitative analysis to inform study outcomes

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Postdoctoral Senior Research Associate – AI, Biostatistics & Eye Biometrics

Benefits:

  • Pension scheme

  • Generous holiday entitlement

  • Training and development

  • Family Friendly policies

  • On campus childcare facilities

Education Requirements:

  • PhD in Computer Science, Artificial Intelligence, Mathematics, Physics, Data Science, Bioengineering, or a related discipline

Experience Requirements:

  • Ability to complement and enhance the research project and department’s strengths

Other Requirements:

  • Strong written and verbal communication skills

Responsibilities:

  • Design, implement, and document AI algorithms for deep learning, computer vision, and signal processing

  • Develop and refine imaging analytics pipelines to extract key metrics from video and time-series data

  • Train, retrain, and optimize deep learning models

  • Perform time-series processing and statistical analysis to extract bio-patterns

  • Develop tools for monitoring data flow, visualization, and research platform interfaces

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