Developer docs
API playgroundTry for free, no card

Search company profiles

LYZEUM LTD

Full company profile

uuid025netg

Namestring
LYZEUM LTD
Legal namestring
Lyzeum Ltd
Websiteurl
lyzeumltd.com
Company typeenum
Private
Founded yearint
2019
Descriptiontext

Lyzeum Ltd is a privately held Cambridge, UK-based company that develops AI-driven software for automated diagnosis of coeliac disease from duodenal (small intestinal) biopsies. The company's core technology applies computer vision and multiple-instance learning to digitised whole-slide images, segmenting villi, crypts, intraepithelial lymphocytes, and enterocytes, and computing IEL-to-enterocyte and villus-to-crypt ratios to produce interpretable diagnostic outputs. Published validation reports accuracy, sensitivity, and specificity exceeding 95%, with the company claiming its models are trained on the largest duodenal biopsy dataset globally. The product is positioned as clinical-grade decision support for pathologists, framed against an NHS context in which only 3% of pathology departments are fully staffed and inter-observer agreement on coeliac diagnosis is around 80%.

The company's go-to-market is enterprise-focused, targeting NHS pathology departments and hospital clinical teams via direct sales rather than consumer or SMB channels. Revenue, if any, is implied to come from software licensing or subscription arrangements with healthcare institutions, although no pricing, contracts, or paying customers are publicly disclosed. Lyzeum is operating pre-commercially, with public-facing activity centred on peer-reviewed publications (NEJM AI, BMJ Digital Health, BMJ Open Gastroenterology, Scientific Reports, Journal of Pathology Informatics) and academic collaborations rather than sales or regulatory milestones.

Lyzeum's competitive position rests on its data assets, its multi-disciplinary team (NHS pathologists, Cambridge mathematicians and engineers), and its academic partnerships with the University of Cambridge, UKRI, Addenbrooke's Hospital NHS, and University Hospital Southampton NHS Foundation Trust. Leadership comprises Professor Elizabeth Soilleux (CEO, NHS pathologist), Dr Florian Jaeckle (CTO), and Graham Snudden (COO), with Professors Mark Arends and Carola-Bibiane Schönlieb as scientific advisors. The firm has 1-10 employees, no disclosed funding rounds, and no certifications, UKCA / CE marking, or commercial deployment signals.

Short descriptiontext

Lyzeum Ltd is a Cambridge-based AI company developing clinical-grade machine learning software that automates coeliac disease diagnosis from duodenal biopsies, primarily for NHS pathology departments and hospital clinical teams in the UK.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1–10
akta.pro rankint
HeadquartersCambridge, United Kingdom
HQ citystring
Cambridge
HQ countrystring
United Kingdom
HQ regionstring
Europe
Markets served

Serves global market

Keyword5 values
digital pathology software, AI diagnostic tools, medical imaging AI, clinical decision support, pathology workflow software
Industry3 codes
1Software as a Medical Device (SaMD) – Clinical Decision & Diagnostic Software
CodeHLACANADPrimaryYes
2Medical Imaging AI
CodeHDAAAEAHPrimaryNo
3Digital & AI-Enabled Diagnostics (algorithmic interpretation, decision support tied to assays)
CodeHLAAALAOPrimaryNo
NAICS code1 code
  • Software Publishers5132
SIC code1 code
  • Services-Prepackaged Software7372
Product category
Digital Pathology AI Software
Social media profiles2 records
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model1 record
1AI Diagnostic Software Licensing
TypeSubscription Recurring
Description

Clinical-grade AI software deployed to support pathologists' workflow in NHS pathology departments and healthcare systems. Revenue likely generated through enterprise licensing agreements with healthcare institutions.

lyzeumltd.com
Marketing channels4 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels1 record

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Personnel, Technology or R&D, Operations, Marketing or Sales, Others
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

Lyzeum Ltd develops a clinical-grade AI software system that analyses digitised whole-slide images of duodenal (small intestinal) biopsies to diagnose coeliac disease, supporting pathologists' workflow. The platform uses deep learning and multiple-instance learning models trained on the largest duodenal dataset globally, achieving accuracy, sensitivity, and specificity exceeding 95%, and is positioned for deployment within NHS pathology departments and hospital clinical teams.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 3 values shown
  • 95%+ accuracy, sensitivity, and specificity in coeliac disease diagnosis
+2 more records
Product overview1 text field

Lyzeum Ltd offers a unified AI-based diagnostic platform for coeliac disease detection. Built on the largest duodenal biopsy dataset globally, the clinical-grade AI analyzes digitized whole-slide images of duodenal biopsies to support pathologists' workflow and improve accuracy and efficiency of diagnosis. The system segments villi, crypts, intraepithelial lymphocytes, and enterocytes, and provides interpretable coeliac disease diagnoses with accuracy, sensitivity, and specificity exceeding 95%. This is a single integrated product rather than a modular platform.

Product and service1 record
1AI-based Coeliac Disease Diagnostic System
CategoryDigital Pathology AI Software
Description

A clinical-grade AI software system that analyses digitised whole-slide images of duodenal (small intestinal) biopsies to diagnose coeliac disease for pathologists working within NHS pathology departments and hospital clinical teams. The system uses deep learning and multiple-instance learning models to segment villi, crypts, intraepithelial lymphocytes (IELs), and enterocytes and produces interpretable diagnoses with quantified ratios (IEL-to-enterocyte and villus-to-crypt ratios), achieving accuracy, sensitivity, and specificity exceeding 95%.

Scale indicator6 records

Each record includes

Type, Value, Description, Source

Partnership5 partners
Strategic tierCoreTypeStrategic or Co-development Partner
Description

Academic partnership with the Department of Pathology and the Centre for Mathematical Sciences at University of Cambridge. Cambridge University mathematicians and engineers collaborate with NHS pathologists to develop machine learning models for coeliac disease diagnosis. Professor Carola-Bibiane Schönlieb serves as a scientific advisor.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Research collaboration with UKRI, a UK government body that funds research and innovation across sciences and humanities. Logo displayed as collaborator indicating research partnership.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Clinical partnership with Addenbrooke's Hospital NHS, providing access to pathology expertise and clinical data. NHS pathologists from Addenbrooke's are part of Lyzeum's multi-disciplinary team, including Professor Elizabeth Soilleux as CEO.

Strategic tierMajorTypeStrategic or Co-development Partner
Description

Clinical partnership with University Hospital Southampton NHS Foundation Trust for pathology research and development collaboration. Logo displayed as collaborator.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Multi-disciplinary team includes NHS pathologists working in conjunction with the company. The AI technologies are designed to support pathologists' workflow across NHS pathology departments to address the 3% fully staffed challenge.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight5 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

Ibex develops AI-powered diagnostic software for pathology (breast, prostate, GI biopsies), making it a direct competitor in clinical-grade AI that analyses whole-slide images to support pathologist workflows in hospitals and reference labs.

TypeDirect peer
Description

PathAI builds AI tools for pathology diagnosis and biomarker analysis, including gastrointestinal applications, and partners with pharma and diagnostics companies; it competes with Lyzeum in deploying AI to improve diagnostic accuracy on biopsy images.

TypeEmerging player
Description

Owkin applies AI to pathology and clinical research, partnering with academic medical centers and pharma; it has overlapping digital pathology ambitions with Lyzeum, particularly around hospital data collaborations.

TypeEmerging player
Description

Tribun Health (formerly Tribun) provides AI-augmented digital pathology solutions including diagnostic support modules used in European hospitals, making it a relevant competitor in EU pathology AI deployments.

TypeEmerging player
Description

Aiosyn develops AI solutions for digital pathology with a focus on biomarker quantification in clinical workflows, making it an emerging competitor in specialised tissue-based AI diagnostics.

TypeDirect peer
Description

Paige develops AI-based clinical-grade applications for cancer diagnosis from digital pathology slides, with FDA-authorised products, and competes with Lyzeum in the broader digital diagnostic pathology space.

TypeEmerging player
Description

Proscia offers a digital pathology platform with AI applications for routine pathology workflows, targeting hospital and reference lab customers with similar enterprise sales motions to Lyzeum's NHS pathology focus.

TypeBroad incumbent
Description

Philips provides an enterprise digital pathology solution spanning imaging hardware, image management, and AI-enabled applications, making it an incumbent platform that hospitals may prefer over a single-application vendor.

TypeBroad incumbent
Description

Google Health, Verily and DeepMind have published foundational pathology AI research and explore clinical applications, representing a broad incumbent threat with deep resources that could generalise into Lyzeum's GI biopsy niche.

TypeBroad incumbent
Description

Roche offers an end-to-end digital pathology platform (scanners, workflow software, AI partnerships) and is a broad incumbent whose installed base and AI partner ecosystem could outcompete point solutions like Lyzeum in NHS tenders.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat4 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Segment2 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile2 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI capability2 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature5 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles5 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

LYZEUM LTD

Digital Pathology AI Softwarelyzeumltd.com

Lyzeum Ltd is a Cambridge-based AI company developing clinical-grade machine learning software that automates coeliac disease diagnosis from duodenal biopsies, primarily for NHS pathology departments and hospital clinical teams in the UK.

What LYZEUM LTD does

Lyzeum Ltd is a privately held Cambridge, UK-based company that develops AI-driven software for automated diagnosis of coeliac disease from duodenal (small intestinal) biopsies. The company's core technology applies computer vision and multiple-instance learning to digitised whole-slide images, segmenting villi, crypts, intraepithelial lymphocytes, and enterocytes, and computing IEL-to-enterocyte and villus-to-crypt ratios to produce interpretable diagnostic outputs. Published validation reports accuracy, sensitivity, and specificity exceeding 95%, with the company claiming its models are trained on the largest duodenal biopsy dataset globally. The product is positioned as clinical-grade decision support for pathologists, framed against an NHS context in which only 3% of pathology departments are fully staffed and inter-observer agreement on coeliac diagnosis is around 80%.

The company's go-to-market is enterprise-focused, targeting NHS pathology departments and hospital clinical teams via direct sales rather than consumer or SMB channels. Revenue, if any, is implied to come from software licensing or subscription arrangements with healthcare institutions, although no pricing, contracts, or paying customers are publicly disclosed. Lyzeum is operating pre-commercially, with public-facing activity centred on peer-reviewed publications (NEJM AI, BMJ Digital Health, BMJ Open Gastroenterology, Scientific Reports, Journal of Pathology Informatics) and academic collaborations rather than sales or regulatory milestones.

Lyzeum's competitive position rests on its data assets, its multi-disciplinary team (NHS pathologists, Cambridge mathematicians and engineers), and its academic partnerships with the University of Cambridge, UKRI, Addenbrooke's Hospital NHS, and University Hospital Southampton NHS Foundation Trust. Leadership comprises Professor Elizabeth Soilleux (CEO, NHS pathologist), Dr Florian Jaeckle (CTO), and Graham Snudden (COO), with Professors Mark Arends and Carola-Bibiane Schönlieb as scientific advisors. The firm has 1-10 employees, no disclosed funding rounds, and no certifications, UKCA / CE marking, or commercial deployment signals.

LYZEUM LTD firmographics

Firmographics
Name
LYZEUM LTD
Legal name
Lyzeum Ltd
Website
https://lyzeumltd.com
Company type
Private
Founded year
2019
Operating status
Operating
Headcount range
1–10 employees
Short description
Lyzeum Ltd is a Cambridge-based AI company developing clinical-grade machine learning software that automates coeliac disease diagnosis from duodenal biopsies, primarily for NHS pathology departments and hospital clinical teams in the UK.
Ownership category
akta.pro rank

LYZEUM LTD industry classification

Industry
Product category
Digital Pathology AI Software
NAICS
Software Publishers (5132)
SIC
Services-Prepackaged Software (7372)
akta.pro primary industry
Software as a Medical Device (SaMD) – Clinical Decision & Diagnostic Software (HLACANAD)
akta.pro secondary industries
Medical Imaging AI (HDAAAEAH), Digital & AI-Enabled Diagnostics (algorithmic interpretation, decision support tied to assays) (HLAAALAO)

Keywords

  • Digital pathology software
  • AI diagnostic tools
  • Medical imaging AI
  • Clinical decision support
  • Pathology workflow software

Where LYZEUM LTD is headquartered

Location

Headquarters

HQ city
Cambridge
HQ country
United Kingdom
HQ region
Europe

Markets served

LYZEUM LTD business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Personnel, Technology or R&D, Operations, Marketing or Sales, Others

Revenue model

  1. AI Diagnostic Software Licensing: Clinical-grade AI software deployed to support pathologists' workflow in NHS pathology departments and healthcare systems. Revenue likely generated through enterprise licensing agreements with healthcare institutions.

Go-to-market motion1 record

Distribution channels1 record

Marketing channels4 records

LYZEUM LTD product offering

Product offering

Core offering

Lyzeum Ltd develops a clinical-grade AI software system that analyses digitised whole-slide images of duodenal (small intestinal) biopsies to diagnose coeliac disease, supporting pathologists' workflow. The platform uses deep learning and multiple-instance learning models trained on the largest duodenal dataset globally, achieving accuracy, sensitivity, and specificity exceeding 95%, and is positioned for deployment within NHS pathology departments and hospital clinical teams.

Product overview

Lyzeum Ltd offers a unified AI-based diagnostic platform for coeliac disease detection. Built on the largest duodenal biopsy dataset globally, the clinical-grade AI analyzes digitized whole-slide images of duodenal biopsies to support pathologists' workflow and improve accuracy and efficiency of diagnosis. The system segments villi, crypts, intraepithelial lymphocytes, and enterocytes, and provides interpretable coeliac disease diagnoses with accuracy, sensitivity, and specificity exceeding 95%. This is a single integrated product rather than a modular platform.

Differentiator

Problem solved

Functional benefit

Products and services

  • AI-based Coeliac Disease Diagnostic System A clinical-grade AI software system that analyses digitised whole-slide images of duodenal (small intestinal) biopsies to diagnose coeliac disease for pathologists working within NHS pathology departments and hospital clinical teams. The system uses deep learning and multiple-instance learning models to segment villi, crypts, intraepithelial lymphocytes (IELs), and enterocytes and produces interpretable diagnoses with quantified ratios (IEL-to-enterocyte and villus-to-crypt ratios), achieving accuracy, sensitivity, and specificity exceeding 95%.

Quantifiable outcome

  • 95%+ accuracy, sensitivity, and specificity in coeliac disease diagnosis
  • +2 more outcomes

Companies that use LYZEUM LTD

Customer profile

Segments2 records

Ideal customer profiles2 records

LYZEUM LTD technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

AI capability2 records

Feature5 records

LYZEUM LTD partnerships and signals

Strategic signal

Partnerships

Five partnerships are on record, tiered core and major.

  • University of CambridgecoreStrategic or Co-development PartnerAcademic partnership with the Department of Pathology and the Centre for Mathematical Sciences at University of Cambridge. Cambridge University mathematicians and engineers collaborate with NHS pathologists to develop machine learning models for coeliac disease diagnosis. Professor Carola-Bibiane Schönlieb serves as a scientific advisor.
  • UK Research and Innovation (UKRI)coreStrategic or Co-development PartnerResearch collaboration with UKRI, a UK government body that funds research and innovation across sciences and humanities. Logo displayed as collaborator indicating research partnership.
  • Addenbrooke's Hospital NHScoreStrategic or Co-development PartnerClinical partnership with Addenbrooke's Hospital NHS, providing access to pathology expertise and clinical data. NHS pathologists from Addenbrooke's are part of Lyzeum's multi-disciplinary team, including Professor Elizabeth Soilleux as CEO.
  • University Hospital Southampton NHS Foundation TrustmajorStrategic or Co-development PartnerClinical partnership with University Hospital Southampton NHS Foundation Trust for pathology research and development collaboration. Logo displayed as collaborator.
  • NHS Pathology DepartmentscoreStrategic or Co-development PartnerMulti-disciplinary team includes NHS pathologists working in conjunction with the company. The AI technologies are designed to support pathologists' workflow across NHS pathology departments to address the 3% fully staffed challenge.

Scale indicators6 records

Recent moves6 records

Expansion highlights5 records

LYZEUM LTD competitors and assessment

Company assessment

Direct peers

  • Ibex Medical Analytics: Ibex develops AI-powered diagnostic software for pathology (breast, prostate, GI biopsies), making it a direct competitor in clinical-grade AI that analyses whole-slide images to support pathologist workflows in hospitals and reference labs.
  • PathAI: PathAI builds AI tools for pathology diagnosis and biomarker analysis, including gastrointestinal applications, and partners with pharma and diagnostics companies; it competes with Lyzeum in deploying AI to improve diagnostic accuracy on biopsy images.
  • Paige: Paige develops AI-based clinical-grade applications for cancer diagnosis from digital pathology slides, with FDA-authorised products, and competes with Lyzeum in the broader digital diagnostic pathology space.

Emerging players

  • Owkin: Owkin applies AI to pathology and clinical research, partnering with academic medical centers and pharma; it has overlapping digital pathology ambitions with Lyzeum, particularly around hospital data collaborations.
  • Tribun Health: Tribun Health (formerly Tribun) provides AI-augmented digital pathology solutions including diagnostic support modules used in European hospitals, making it a relevant competitor in EU pathology AI deployments.
  • Aiosyn: Aiosyn develops AI solutions for digital pathology with a focus on biomarker quantification in clinical workflows, making it an emerging competitor in specialised tissue-based AI diagnostics.
  • Proscia: Proscia offers a digital pathology platform with AI applications for routine pathology workflows, targeting hospital and reference lab customers with similar enterprise sales motions to Lyzeum's NHS pathology focus.

Broad incumbents

  • Philips Digital Pathology: Philips provides an enterprise digital pathology solution spanning imaging hardware, image management, and AI-enabled applications, making it an incumbent platform that hospitals may prefer over a single-application vendor.
  • Google Health (Verily / Google DeepMind): Google Health, Verily and DeepMind have published foundational pathology AI research and explore clinical applications, representing a broad incumbent threat with deep resources that could generalise into Lyzeum's GI biopsy niche.
  • Roche (Roche Digital Pathology): Roche offers an end-to-end digital pathology platform (scanners, workflow software, AI partnerships) and is a broad incumbent whose installed base and AI partner ecosystem could outcompete point solutions like Lyzeum in NHS tenders.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

LYZEUM LTD social profiles

Digital presence

LYZEUM LTD financial estimates

Financial estimate

Revenue estimate

Valuation estimate

LYZEUM LTD leadership team

Management profile

Number of profiles

Profiles5 records

LYZEUM LTD funding detail

Funding detail

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

LYZEUM LTD M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about LYZEUM LTD

What does LYZEUM LTD do?

Lyzeum Ltd develops a clinical-grade AI software system that analyses digitised whole-slide images of duodenal (small intestinal) biopsies to diagnose coeliac disease, supporting pathologists' workflow. The platform uses deep learning and multiple-instance learning models trained on the largest duodenal dataset globally, achieving accuracy, sensitivity, and specificity exceeding 95%, and is positioned for deployment within NHS pathology departments and hospital clinical teams.

Is LYZEUM LTD a public or private company?

LYZEUM LTD is a private company. It is classified as founder individual operated bootstrapped and is currently operating.

When was LYZEUM LTD founded?

LYZEUM LTD was founded in 2019. It employs 1 to 10 people.

Where is LYZEUM LTD based?

LYZEUM LTD is headquartered in Cambridge, United Kingdom, in the Europe region.

How does LYZEUM LTD make money?

One revenue line is on record: AI Diagnostic Software Licensing.

Who are LYZEUM LTD's main competitors?

Direct peers on record are Ibex Medical Analytics, PathAI and Paige. Emerging players are Owkin, Tribun Health, Aiosyn and Proscia. Broad incumbents are Philips Digital Pathology, Google Health (Verily / Google DeepMind) and Roche (Roche Digital Pathology).

Does LYZEUM LTD have an API?

No public API is recorded for LYZEUM LTD.

What industry is LYZEUM LTD in?

LYZEUM LTD's product category is Digital Pathology AI Software. Its primary akta.pro industry code is HLACANAD, Software as a Medical Device (SaMD) – Clinical Decision & Diagnostic Software, with a secondary code of HDAAAEAH, Medical Imaging AI. Its NAICS code is 5132 and its SIC code is 7372.

Unlock the full company data

50 free credits on sign-up, no credit card required.

Contact sales