AI-Powered Surgical Inventory Management

Reducing preventable surgical errors through vision-based tracking, voice-activated retrieval, and closed-loop verification — from storage to implantation.

🏥 Built for Eye Surgery Centers & Cath Labs

Core technologies are patent pending.

When Inventory Systems Fail, Patients Are at Risk

In surgical environments, small inefficiencies compound into serious patient safety concerns and operational burdens.

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Time Lost Searching

Staff spend 2-4 minutes searching for specific implants among hundreds of similar packages

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Wrong Item Selection

Similar packaging leads to picking errors that may not be caught until implantation

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Expired Inventory

Outdated inventory discovered during prep causes delays and emergency reorders

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Manual Verification

Time-consuming manual checks that are prone to interruption and human error

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Financial Losses

$25,000-$50,000 annual losses from expired inventory and workflow inefficiencies

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No Real-Time Visibility

Without real-time tracking, you don't know what you have until you physically look

⚠️ Wrong-Implant Events Are Classified as "Never Events"

Despite verification protocols, near-miss events continue to occur due to fragmented inventory workflows. The consequences can mean a second surgery for the patient.

AI-Powered Inventory Intelligence

Vision-based tracking and closed-loop verification that integrates seamlessly with surgical workflows.

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Computer Vision Tracking

Machine learning identifies items and tracks spatial position without barcodes, RFID, or predetermined slots.

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Progressive LED Guidance

Visual illumination guides staff directly to the correct shelf position. No searching, no guessing.

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Voice-Activated Lookup

Hands-free retrieval queries for sterile field compliance. Natural language understanding with fuzzy matching.

Closed-Loop Verification

Confirms correct item selection in real-time. Complete audit trail from order to utilization.

Seamless Workflow Integration

1
Order Received
2
Item Located
3
LED Guidance
4
Pick Confirmed
5
Audit Complete

No barcode scanning. No manual data entry. No searching.

Available Now

IOL Inventory Management for Eye Surgery Centers

Our first deployment is in ophthalmic surgery centers, where the wrong lens means a second surgery for the patient.

🏭 Any Manufacturer

Works across major IOL manufacturers — Alcon, J&J Vision, Bausch + Lomb, STAAR, Zeiss — without proprietary tagging or relabeling.

💡 LED Visual Guidance

Progressive LED illumination guides staff directly to the correct shelf position with acceleration and deceleration phases for intuitive visual flow.

🎤 Voice-Activated Search

Hands-free lens lookup with natural language understanding. "Find the plus twenty-three Tecnis" — no exact syntax required.

📅 Expiration Tracking

Automatic FEFO (First Expired, First Out) prioritization. Get alerts before lenses expire on the shelf.

📊 Real-Time Inventory

Know exactly what's on every shelf without manual counting. Inventory updates automatically with every placement and retrieval.

📋 Complete Audit Trail

Every transaction documented automatically — supporting regulatory compliance and quality assurance requirements.

Explore Early Access for Your Surgery Center

Every Manual Step Is a Risk

🔍 Searching for the Right Lens

Staff spend valuable time hunting through shelves for specific model and power combinations among hundreds of similar packages.

📅 Expired Lenses Discovered Late

Outdated inventory found during prep causes delays, emergency reorders, and potential case cancellations.

⚠️ Wrong Lens Pulled

Similar packaging leads to picking errors that may not be caught until implant — a "never event" requiring additional surgery.

📋 Manual Counting Takes Hours

Physical inventory audits pull staff away from patient care and are still prone to counting errors.

👩‍⚕️ Training New Staff

New employees require weeks to learn IOL storage locations, manufacturer conventions, and verification protocols.

❓ No Visibility Into Shelf Contents

Without real-time tracking, you don't know what you have, where it is, or when it expires until you physically look.

Rigorous Validation for Patient Safety

Technology Development

Surgislate was developed by a practicing ophthalmologist who experienced firsthand the challenges of IOL inventory management. The system addresses a critical gap in surgical workflow that existing barcode and RFID solutions have failed to solve.

Current Validation

  • Functional prototype deployed at ophthalmic surgery center
  • Machine learning models trained on IOL packaging
  • Voice-activated retrieval with natural language processing
  • Progressive LED guidance system operational

Ongoing Research Objectives

  • Multi-manufacturer ML model validation and expansion
  • HIPAA-compliant EMR integration architecture
  • Quantified error-reduction studies
  • Usability testing across diverse ASC environments
3
Patents Pending
1
Pilot Deployment
<10s
Target Retrieval Time
99%+
Target Accuracy

Built for High-Stakes Surgical Environments

The same platform technology addresses critical inventory challenges across surgical specialties.

👁️ Eye Surgery Centers

Available Now

IOL inventory management with LED guidance, expiration tracking, and manufacturer-agnostic label reading. Full workflow from storage to OR delivery.

  • Works with all IOL manufacturers
  • Voice-activated lens lookup
  • Automatic FEFO prioritization
  • Real-time inventory counts
  • Complete audit trail

🫀 Cath Labs

Coming Soon

Catheter, stent, and high-value cardiac device inventory management with the same vision-based tracking and verification capabilities.

  • Stent and catheter tracking
  • Pick-to-light guidance
  • Real-time inventory visibility
  • Expiration management
  • Regulatory compliance support

Built by a Surgeon, for Surgeons

Sajjad Akhtar, MD

Sajjad Akhtar, MD

Founder & CEO

Board-Certified Ophthalmologist

A practicing cataract surgeon who experienced firsthand the challenges of IOL inventory management — cancelled surgeries, near-miss events, and workflow inefficiencies. Rather than accept these as inevitable, he built a solution.

Our Origin Story

Surgislate was born in the operating room. After years of observing surgical delays caused by inventory searches, near-miss wrong-IOL events, and the frustration of expired lenses discovered at the worst possible moment, our founder decided to solve the problem himself.

Combining clinical expertise with technology innovation, he developed a system that uses AI and computer vision to track surgical inventory in real-time — without the barcodes, RFID tags, or predetermined storage slots that have limited adoption of existing solutions.

Our Mission

"To eliminate preventable surgical errors and workflow inefficiencies through intelligent inventory systems that integrate seamlessly with clinical practice."

Why We're Different

Most medical device inventory systems are designed by technologists and then adapted for clinical use. Surgislate was designed by a surgeon who lives with the problem every day — ensuring that the solution actually fits real-world surgical workflows.

Advisory Board

Guided by experts in ophthalmology, medical devices, and healthcare technology.

Dr. Bilal Malik

Bilal Malik, MD, FACC, FSCAI

Clinical Advisor

Board-certified interventional cardiologist and Director of Vascular Medicine at Maimonides Medical Center. With over two decades of clinical experience, he holds faculty appointments at SUNY Downstate and Mount Sinai School of Medicine. Dr. Malik has been principal investigator on numerous clinical trials with over 40 peer-reviewed publications. His expertise in catheterization laboratory workflows provides invaluable guidance as Surgislate expands to cath lab applications.

Yelena Mason

Yelena Mason, MHA

Operations Advisor

Senior healthcare executive and Administrator at APEX Eye Surgery Center, overseeing all operational, financial, and regulatory functions. With over 10 years of ASC leadership experience, she brings deep expertise in Medicare compliance, Joint Commission standards, and revenue cycle optimization. She holds a Master of Healthcare Administration from Cornell University and is a member of the American College of Healthcare Executives and ASOA.

Mary Ann Fable

Mary Ann Fable, RN, CDCES

Clinical Advisor

Registered Nurse and Clinical Director at APEX Eye Surgery Center since 2013. She led the center from initial construction through NYS Department of Health survey and Joint Commission accreditation. With expertise in perioperative nursing and regulatory compliance, she also serves as Adjunct Professor at Queensborough Community College. Her frontline experience training OR staff provides essential perspective on surgical workflow integration.

Labib Mushfiq

Labib Mushfiq, MS

Technical Advisor

Electrical engineer specializing in hardware and firmware design, currently at Hewlett Packard Enterprise (HPE) where he develops and supports engineering solutions at scale. He holds a Master's degree in Electrical Engineering from Columbia University and a Bachelor's degree from Stony Brook University. His background includes R&D of medical devices, including work on a contactless pulse oximeter. Labib brings a research-driven technical perspective to Surgislate's hardware architecture and embedded systems.

No Complexity. Just Clarity.

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No Manual Searching

Visual guidance takes you directly to the item

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No Barcode Scanning

The system recognizes items automatically

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No Special Tags

Works with existing packaging and labels

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No Manual Counts

Inventory stays accurate in real time

Ready to Eliminate Inventory Uncertainty?

See how Surgislate can transform your surgery center's implant management and reduce the risk of preventable errors.

Get Started

See Surgislate in Action

Join Our Early Access Program

We're working with select surgery centers to refine our AI-powered inventory system. Learn how your facility can participate.

  • See the system in development
  • Provide input on features that matter to you
  • Priority access when fully available
  • No obligation conversation

We'll respond within 1 business day.