Surgical Intelligence

Every instrument.
Every tray.
Every time.

Computer vision software that tracks surgical instruments across their full lifecycle, from sterile processing and kit preparation through the operating room and back.

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$7.9B
Sterilization equipment market size
15.2%
CAGR, surgical instrument tracking
6,000+
US hospitals, each managing thousands of instrument trays daily
The problem

The OR runs on
manual counting.

Hospitals manage thousands of surgical instrument trays. Each kit is prepared by hand, counted by eye, and reconciled on paper. At every step, human attention is the only safeguard.

When an instrument is miscounted, the consequences range from delayed procedures and emergency re-operations to retained surgical items inside patients — one of the most serious preventable errors in healthcare.

Beyond the operating room, sterile processing departments track instrument usage, sterilization cycles, and kit readiness with little to no digital visibility. Overstocking, instrument loss, and compliance gaps are the norm.

Individual surgical instruments are not barcoded or RFID-tagged in most facilities. The entire workflow depends on staff memory and paper checklists.

$7.9B
Global sterilization equipment market — the infrastructure instrulens integrates with across every SPD and operating room.
No tags.
Individual instruments are not tagged or scanned at sterilization or in surgery at most facilities. The entire workflow depends on staff memory and paper checklists.
The solution

Computer vision across
the full perioperative cycle.

instrulens uses computer vision to identify, count, and track surgical instruments at every stage of the workflow. No hardware changes to existing instruments. No RFID tags. No disruption to current kit design.
01 — STERILE PROCESSING
Kit preparation & sterilization
Camera-based detection identifies instruments as trays are assembled and verified before sterilization. Each kit is logged automatically.
Replaces: paper checklists and manual assembly counts
02 — OPERATING ROOM
Intraoperative instrument count
Real-time detection during surgery ensures every instrument is accounted for before closure. Discrepancies are flagged immediately.
Replaces: scrub nurse manual count and verbal reconciliation
03 — POST-OPERATIVE
Audit trail & analytics
Full digital record of instrument usage, sterilization cycles, and kit history. Supports compliance, benchmarking, and procurement decisions.
Replaces: paper logs and retrospective incident reporting
Why now

The conditions
are aligned.

01
AI makes this deployable today
Computer vision has reached the accuracy and speed needed to operate reliably in clinical environments. We can ship a product now that was not feasible three years ago.
02
Regulatory pressure is increasing
Healthcare accreditation bodies and CMS are tightening requirements for surgical instrument accountability and documentation. Manual counting is no longer sufficient.
03
The market is at an inflection point
The sterilization equipment market stands at $7.9B and the surgical instrument tracking segment is growing at 15.2% CAGR. Existing solutions rely on barcodes and RFID — none use instrument-level computer vision.
In discussion

Working with leading
hospitals in Boston.

We are in discussions with sterile processing leadership at leading national hospitals in the greater Boston area to validate instrulens across real clinical workflows, giving us direct access to high-volume surgical environments from day one.

The team

Clinical depth.
Commercial reach.

Co-Founder
Dr. Brandon Earp
Dr. Brandon Earp
Chief of Orthopedics, Brigham and Women's Faulkner Hospital
Clinical workflow expertise and direct hospital system access
Domain authority across perioperative and sterile processing environments
Co-Founder
Stella Wong
Stella Wong
Senior finance executive with 18 years across investment banking, private equity, and fund management
Scaled operations, teams, and platform growth across complex regulated institutions managing $125B in assets
$1.2B+ raised from sovereign wealth funds and institutional investors; $15B+ in transactions executed
Co-Founder
Dr. Mariam Kiran
Dr. Mariam Kiran
Senior computer scientist in AI and quantum technologies at DOE national laboratories, 10+ years experience
Engineering AI workflows for large distributed systems over cloud, grid, and GPU supercomputers
$10M+ in research funding and domain authority in AI/ML workflows