Surgical AI · scan to robot

Surgical AI that turns scans into robot-ready plans.

Anatomy AI, procedure planning and intra-operative software that medical device companies license into their robots, navigation systems and patient-specific devices.

Explore the Platform Discuss a Partnership
Commercial knee AI · in a CE-marked partner device AI for any bone on CT Surgeon in control
De-identified CT, coronal view of the lumbar spine, pelvis and hips The same CT with AI segmentation: L1 to L5, pelvis, sacrum and femurs in colour
AI

DE-IDENTIFIED CT
● AI SEGMENTATION
L1 L2 L3 L4 L5
PELVIS SACRUM FEMUR
3D · AI model · spine + pelvis
Drag across the scan
x 000 · y 000
10,000+surgeries planned with our AI
200+robots run our knee AI · 150+ commercial
<5 minscan to surgeon-approved plan, review included
4procedure planner templates, customized per company
The bottleneck

Robots are precise. The intelligence feeding them is still manual.

Surgery is shifting from a hardware race to an intelligence race. Yet before a robot moves, experts still segment anatomy, place landmarks, plan implants and register the patient by hand.

Pre-op planning~2 hmanual 3D CT segmentation for one knee plan

128.9 ± 17.3 min manually vs 3.7 min with AI in a 42-patient TKA study.1

AlgoSurg~2 min AI segmentation, 3D and draft plan · <5 min with surgeon review
Intra-op navigation~30 minof manual navigation steps per bone-tumor case

Mean 30.4 min (range 13–60) spent on intra-operative navigation procedures in malignant bone-tumor surgery.2

AlgoSurg IntraOpAI-assisted registration · in development
OR economics$36 – 37cost of every operating-room minute

Mean cost per OR minute across California hospitals, inpatient and ambulatory.3

What it adds up to≈ $1,100 of OR time for 30 min of manual navigation steps2×3
  1. Li et al. Development and Validation of an Artificial Intelligence Preoperative Planning and Patient-Specific Instrumentation System for Total Knee Arthroplasty. Bioengineering 2023;10(12):1417. doi:10.3390/bioengineering10121417
  2. Wong KC, Kumta SM. Computer-assisted Tumor Surgery in Malignant Bone Tumors. Clin Orthop Relat Res 2013;471(3):750–761. PMC3563803
  3. Childers CP, Maggard-Gibbons M. Understanding Costs of Care in the Operating Room. JAMA Surgery 2018;153(4):e176233. jamanetwork.com
The AlgoSurg stack

Automate the intelligence, from scan to execution.

Pre-operative AI is commercial today. Intra-operative AI — registration and execution for navigation and robotics — is the next layer, built on the same engine.

AlgoSurg Plan · 4 procedure planners

From scan to surgeon-approved plan.

Anatomy AI, landmarks and planning in minutes, approved by the surgeon. Knee is commercial with a device partner.

Import→Understand→Plan→Review→Deliver
See all planners →
AlgoSurg IntraOp · Next layer

Bring the approved plan into the OR.

Registration, plan verification and execution interfaces for third-party robots and navigation. A preclinical prototype.

Connect→Register→Verify→Execute
Explore IntraOp →
Commercial proof

Licensed to Meril. Running on MISSO.

AlgoSurg's knee planning AI is licensed non-exclusively to Meril and powers pre-operative planning on the MISSO robotic knee platform. It is in commercial use across India, and the device partner's robotic knee system that includes it is CE-marked under EU MDR on its label. We supplied the software documentation for that submission, as we do for every partner.

200+robots in India run our knee AI · 150+ commercial

Separately, 10,000+ surgeries have been planned with AlgoSurg AI across all programs.

Robotic TKRPartner device CE-marked (EU MDR)Surgeon-approved plans
Knee planneras delivered to device partnerSurgeon-approved planRobot
What we provide

One AI engine. Delivered as models or planners.

Trained on your CT and MRI data, built around your implants and workflow, licensed at the depth your product needs.

Input · yours
  • CT · MRI scans
  • Implant library
  • Surgical workflow
AlgoSurg engine

Anatomy AI for any bone on CT

  1. Segment
  2. 3D model
  3. Landmarks
  4. Measure

Trained and validated on your data.

Output 01 · AI models

Inside your software

API or SDK. Segmentation, 3D and landmarks for knee, hip, pelvis, spine, jaws and teeth today.

See spine AI →
Output 02 · Procedure planners

Surgeon-facing planning

  • KneeCommercial
  • HipPartner testing
  • Bone tumorPilot
  • TAVRPartner development
See the knee planner →
White-label app, embedded module, API or the full stack.Licensing options →
How device companies work with us

From your data to integrated software in months.

Land one module, then expand across procedures, systems and intra-operative layers. Device companies license non-exclusively, keep their brand, implants and hardware, and lead the regulatory submission with our software documentation.

01 / SCOPE

Data + workflow

Your CT data, implant library, procedure steps and target hardware.

02 / TRAIN

AI models

Segmentation and landmark models trained and validated on your data.

03 / ~3 MONTHS

First API cut

AI integrated into your software through a defined API.

04 / ≤6 MONTHS

Full software

Planning software with your implants and workflow, plus documentation for regulatory submission.

05 / EXPAND

More procedures

New anatomies, procedures and intra-operative modules on the same engine.

Timelines are typical and depend on procedure complexity and integration scope.

Licensing options: API, embedded module, white-label app or full stack →
Build with AlgoSurg

Bring surgical intelligence into your product.

Start with an AI model for your anatomy, a procedure planner built around your implants, or a connected planning + intra-operative stack.

Discuss a Partnership