Waiv vs ZEISS
Relationship
TLS Detect and ZEISS CIRRUS PathFinder both list medical imaging analysis; both also serve buyers who need to document a clinical encounter; scale not recorded for either.
Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.
3 shared capabilities — Across all their products, both list data analysis, medical imaging analysis and workflow automation.
Ludbee capability tags · every product each company sellsShared product type — Both ship platform.
Ludbee product recordsAligned comparison
Capability overlap
Shared · 3
Not verified for Waiv · 5
Recorded for ZEISS. Waiv’s product records say nothing either way — a missing record is not a missing capability.
Waiv has no capability ZEISS lacks, among the 3 recorded here.
Products, side by side
Algorithmic pairing — assembled from recorded fields, not hand-checked
Waiv
Platform
Workflow platform that orchestrates Waiv's diagnostic tests within a lab's existing pathology workflow, handling sample intake, result delivery and reporting.
ZEISS
Platform
No counterpart
Waiv sells these in a stack layer with no product recorded for ZEISS yet — nothing on the other side to compare them against.
Data service
Research-use-only AI test assessing BRCA-related genomic risk signatures from pathology data, sold to research institutions rather than clinical end users.
Suite of AI diagnostic tests covering colorectal, endometrial and gastric cancer screening from pathology slides, marketed as one branded product line on Waiv's own site.
CE-IVDR-cleared AI diagnostic test that predicts breast-cancer recurrence risk from routine pathology data, spun out of Owkin's diagnostics division.
Research-use AI test that screens digitised H&E slides for tertiary lymphoid structures, a biomarker associated with response to immune checkpoint inhibitors, across tumour types and without a separate stain.
ZEISS sells these in a stack layer with no product recorded for Waiv yet — nothing on the other side to compare them against.
Application
App for ZEISS INSPECT X-Ray that detects, segments and evaluates defects in industrial CT scans with pre-trained or customised AI models, including on noisy scans with artifacts.
Deep-learning support tool built into ZEISS CIRRUS OCT devices that reviews macular OCT scans and flags the B-scans that may need closer review, such as subretinal or intraretinal fluid and retinal pigment epithelium changes, and can be switched off when not wanted.
An AI assistant advises users on microscopy experiment planning and image acquisition setup.
Cloud application for cataract surgeons that stores surgical videos exported from ZEISS CALLISTO eye, arranges them in a case library with biometry and device data, and uses an AI segmentation algorithm to give surgeon and clinic performance dashboards and step-by-step review.
A licensed ZEN toolkit provides image denoising, segmentation, object classification and model training.
Microscopy software for acquiring images, analysing samples and managing results across ZEISS light and electron microscopes, with AI-based segmentation and classification that users train in the software with no programming, plus an image database and industrial analysis workflows.
An image analysis application supports visualization pipelines and AI model training.