AI Health Index
Hospital & Unit Operations
S

Scalpel AI

Scalpel AI uses machine vision to inspect surgical instrument trays and connect validation records across the supply chain. At a workstation, technicians receive visual guidance against tray requirements and alerts for missing, incorrect or misplaced instruments. The system combines images, proprietary datasets and tray build lists, focusing on fixed instrument graphic trays used in orthopedics and spine care.

ScalpelGo extends scanning to representatives and couriers at pickup and delivery. Inspection records preserve who assembled a tray, when it was checked and what was validated. Manufacturers, logistics providers and sterile processing teams can use this shared history to identify problems before a tray reaches the operating room.

AI Health Index verifiedOctober 14, 2026
Compare Scalpel AI with other vendors
Founded
—
Headquarters
London, United Kingdom
Website
www.scalpel.ai/
Categories
hospital-operations
Indexed Products
Scalpel Active Vision, ScalpelGo, Connected Surgical Intelligence
Buyer Segments
Sterile processing departments, Orthopedic manufacturers, Surgical logistics providers, Ambulatory surgery centers
Assessment

Capability Axes

An AI Health Index grade measures what a buyer can verify from public sources on the date shown. It is not a rating of how good the product is. A vendor can build an excellent system and grade low on an axis because it publishes nothing an outsider can check. How grades read

AI Capability
AI Centrality
BB on AI CentralityThe model is the engine of a core module. The platform carries other value, but this capability does not exist without it.
Vendor Published

Machine vision powers tray inspection, identifying missing, incorrect and misplaced instruments against tray requirements. The wider platform adds logistics visibility and inspection records, preserving operational value alongside the learned recognition capability.

Autonomy and Oversight Model
DD on Autonomy and Oversight ModelNo oversight structure is published. An absolute claim that the system does not err grades here too, because a buyer who believes it will not build the review step that would catch a failure.
Vendor Published

Technicians receive visual prompts and discrepancy alerts, yet sterile processing messaging promises perfect assembly without second checks. That absolute framing conflicts with building a review step for recognition errors. Escalation thresholds and override procedures are unspecified.

Model and Technology Transparency
BB on Model and Technology TransparencyThe approach or the suppliers are named without the version and update discipline behind them. Naming a supplier is the entry to this band both here and on Model Supply Chain Disclosure, which ask different questions of the same disclosure: who receives the data, and what produces the output.
Vendor Published

Machine vision compares tray images with proprietary datasets and build lists. Internal development covers object detection and recognition. Production model versions, dataset composition and a defined release evaluation process are unspecified.

Model Supply Chain Disclosure
BB on Model Supply Chain DisclosureSubstantial partial disclosure, or a chain that is structurally short: an in house build, a cleared model that cannot be quietly swapped, or a deployment where the transfer does not occur at all. Naming the model provider exits the band below into this one; the axis rises from here on the completeness of the party list and on the terms that govern data once it arrives.
Vendor Published

An internal engineering team develops vision models trained on structured tray images, identifying a direct model development path. Hiring references GPT approaches without confirming production use; external model providers and processing terms remain unspecified.

Clinical and Operational Evidence
BB on Clinical and Operational EvidenceNamed deployments with dated outcome figures and enough method to test them, or published research short of independent validation.
Vendor Published

A 2025 GMLx evaluation covered 10,853 trays over three months, with errors falling from 4.3% to 0.2% and validation time from 5.2 to 3.1 minutes. A separate UCLH controlled study describes independent observers, but authorship and independent validation status remain unclear.

AI Safety and PHI Stewardship
BB on AI Safety and PHI StewardshipCategorical commitments are published, such as no training on customer data, without the retention schedule behind them.
Vendor Published

Medical and imaging data can remain for up to 10 years, with consent based technology research and anonymization when identity is unnecessary. Explicit model training boundaries and an AI safety event procedure remain unspecified.

Regulatory and Compliance
HIPAA and BAA Posture
BB on HIPAA and BAA PostureBusiness associate status is stated and supported by a substantive privacy document, with the agreement or its scope not fully published. For a vendor outside the United States, an equivalent regime documented to this depth grades here. A vendor whose product does not process protected health information grades here too when it says so plainly and explains the scope, with a service privacy document behind it: stating a position a buyer can rely on is the posture this axis grades, and the band above is closed to it because there is no agreement to publish.
Vendor Published

The service privacy policy covers medical and imaging data under GDPR and the UK Data Protection Act. This provides a substantive equivalent privacy regime; US business associate terms and a BAA remain unspecified.

Security Certifications and Trust Center
DD on Security Certifications and Trust CenterControls are asserted with nothing independent behind them, or nothing is published. Read the note before concluding anything: this is the grade most often corrected on a second pass, because assurance material frequently sits on a parent domain or inside an old announcement rather than on the product pages.
Vendor Published

Service controls include encryption, restricted staff access and breach procedures. A recognized security audit, retrievable certification artifact or independent penetration testing cadence is not established by the available assurance material.

FDA and Regulatory Status
CC on FDA and Regulatory StatusNo device claim is made and the product is scoped accordingly. Most administrative and operational products sit here and are not penalized for it, because this axis grades the appropriateness of the positioning rather than possession of a clearance.
Vendor Published

The product checks instrument trays, inventory and logistics before surgical use. It supports sterile processing staff rather than diagnosing patients or selecting treatment, with no claim of a cleared diagnostic function.

AI Governance and Bias Disclosure
BB on AI Governance and Bias DisclosureA governance framework with named process behind it, such as certification to an artificial intelligence management standard, or material written for a customer own review committee to evaluate the product with. A framework covering the vendor whole portfolio counts when its scope reaches this product; what it cannot supply is the product specific evaluation the band above asks for. Published results within the one group where the performance of this product is most at risk also sit here: evaluation on the question this axis asks, short of the comparison across groups the band above requires. A medical device clearance or certification, and the quality system behind it, does not reach this band on its own; it is graded under regulatory status. A regulator reviewed plan governing how the model may change does reach it.
Vendor Published

The UCLH evaluation examines novice technicians and describes an independent check of object recognition. This addresses a vulnerable user group. Comparative model performance across instrument classes and independently attributable audit results remain unspecified.

AI Liability and Recourse
BB on AI Liability and RecourseA published falsifiable commitment, or a real correction route the affected person can exercise against the vendor. A published error rate with its method and denominator grades here. A statutory right that runs to the covered entity rather than to the vendor does not reach this band on its own: every other route here asks something of the vendor, and being located in a particular jurisdiction is not conduct.
Vendor Published

The privacy contact accepts requests to correct personal data and review automated decisions. Tray inspection results also have recorded error rates. These routes do not establish a contractual guarantee or remedy for every missed instrument.

Integration and Deployment
EHR and Interoperability Depth
CC on EHR and Interoperability DepthIntegration is claimed through standards or a middleware layer with no system named and nothing to verify.
Vendor Published

The platform can exchange data with instrument tracking and ERP systems. The privacy workflow also accepts hospital data through forms or APIs. Named systems, technical interfaces and production EHR read and write boundaries remain unspecified.

Deployment Model and Data Residency
BB on Deployment Model and Data ResidencyOptions and residency are stated with isolation or the processing path left open.
Vendor Published

Cloud and onsite installation options are available. Patient data stays in the country of the operation, with hospital network access restrictions. Hosting vendors, tenant isolation and the full processing path remain unspecified.

Commercial
Commercial Transparency
DD on Commercial TransparencyNothing a buyer can establish before a sales conversation. A published pricing claim contradicted by evidence also grades here.
Vendor Published

Access begins through a demonstration for the inspection workstation and mobile service. Subscription amounts, per workstation or tray charges, minimum commitments and installation fees are unspecified, preventing a dependable estimate of acquisition cost.

Setting and Specialty Coverage
BB on Setting and Specialty CoverageCoverage is named with validation behind part of it.
Vendor Published

Named evaluations cover joint reconstruction trays at GMLx and orthopedic instrument processing at UCLH. The broader scope includes spine trays, manufacturers, logistics providers and surgery centers, with less direct validation across those additional settings.

Commercial

Pricing

Vendor-published figures are labeled as such. Figures labeled “Estimated” are derived from third-party sources and have not been confirmed by the vendor.

Entry Price Pricing Basis BAA Tier Implementation Source
Contact sales
 Sales demonstration; billing unit unspecified. GDPR and UK service privacy terms; US BAA unspecified. Workstation and setup support available; fees unspecified. Vendor Published

Hardware, mobile access and cloud or onsite options are described without a rate card.