Artificial Intelligence Centre for Value Based Healthcare

What Artificial Intelligence Centre for Value Based Healthcare does

The AI Centre for Value Based Healthcare is a cross-institutional consortium, not a conventional company, established in February 2019 and jointly led by King's College London and Guy's and St Thomas' NHS Foundation Trust. It operates from the London Institute for Healthcare Engineering and brings together around ten NHS trusts, three universities (King's College London, Imperial College London, UCL), and a roster of industry partners including NVIDIA, AWS, GE Healthcare, Siemens Healthineers, GSK, IBM, Perspectum, deepc, and CogStack. Its work covers deep multi-modal data engineering and language AI for clinical research, Software-as-a-Medical Device development, biomarker and precision-medicine work, and Foundation Model training, with data governance led by a dedicated Ethics and Information Governance function.

Its core technology stack is built around FLIP, an open-source federated learning interoperability platform (released February 2026 under Apache 2.0 with deepc, OneLondon, and Flower Labs) that enables AI model training across distributed NHS institutions without centralising patient data. Supporting platforms include CogStack (NLP / MedCat for clinical record extraction), deepcOS (radiology AI deployment orchestration), and AIDE (an open-source AI deployment engine live in six NHS trusts). Application-layer products include OncoLlama (LLM-based oncology text extraction at >98.5% accuracy), GenoLlama and PhenoLlama (genomic and phenotype concept extraction for the NHS Genomic AI Network), GeNotes (RAG-based NHS genomics chatbot), and Haystack (real-time clinical-trial matching). FLIP and AIDE both hold Health Research Authority REC favourable opinions, and NHS England has commissioned OncoLlama as a 'Driver' project across five UK cancer centres.

Commercially, the AI Centre funds itself through public-sector research grants and NHS commissioning rather than conventional software licensing. Disclosed inflows include a £16 million DHSC grant via the Office for Life Sciences (2022), £1.8 million from the London Secure Data Environment (2025), and a $2.36 million NHS England grant (2024), augmented by commissioned projects for the NHS Secure Data Environment programme, the national Genomics AI programme, and direct real-world healthcare data services to research and commercial organisations via the OneLondon SDE across all five London Integrated Care Boards. Go-to-market is consortium-led (no traditional field sales), with no publicly disclosed pricing and engagement driven by NHS Digital, ICBs, NHS trusts, and life-sciences partners seeking federated access to NHS data inside NHS firewalls.

Name

Artificial Intelligence Centre for Value Based Healthcare

Legal name

London Medical Imaging & AI Centre for Value Based Healthcare

Website

https://aicentre.co.uk

Company type

Private

Founded year

2019

Operating status

Operating

Headcount range

51–100 employees

Short description

The AI Centre for Value Based Healthcare is a King's College London and Guy's and St Thomas'-led NHS consortium that builds open-source federated learning infrastructure (FLIP), clinical LLMs (OncoLlama), and AI deployment tools (AIDE, CogStack) for NHS trusts, Integrated Care Boards, and life-sciences partners.

Ownership category

akta.pro rank

Product category

Healthcare AI Platforms

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Health Services (8000), Services-Prepackaged Software (7372)

akta.pro primary industry

AI/ML Engineering & Model Development Services (BPAEAHAF)

akta.pro secondary industries

Medical Imaging AI (HDAAAEAH), Digital Health, Health Information Systems & Data Programs (BPADAIAJ), Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG), Audit, Explainability & Accountability Tooling (traceability, reporting) (HDAAAKAL)

Keywords

• Healthcare AI platforms
• Federated learning infrastructure
• Clinical data science
• Medical imaging AI
• Population health analytics

Headquarters

HQ city

London

HQ country

United Kingdom

HQ region

Europe

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Infrastructure, Operations

Revenue model

1. Public Sector Research Grants: Originally funded by Innovate UK Office of Life Sciences (OLS) at establishment in February 2019. Currently funded by Department of Health and Social Care (DHSC), One London SDE, Genomics England and KHP Health partners as well as grants and innovation projects. Received £16 million DHSC grant by the Office for Life Sciences and £1.8 million from London SDE.
2. NHS Secure Data Environment Services: Delivering on NHS Secure Data Environment programme and national Genomics AI programme. Providing data infrastructure, data science services, and AI platform development for NHS trusts. Commercial projects in data provision, AI development, and deployment/validation.
3. Research and Commercial Innovation: Supporting real-world studies and generation of real-world evidence (RWE) across therapeutic areas. Supporting startups and SMEs with validation, fine-tuning, and MVP development. Delivering various research projects leveraging data infrastructure and NLP capabilities.

Pricing tiers

Go-to-market motion2 records

Distribution channels5 records

Marketing channels6 records

Core offering

The AI Centre for Value Based Healthcare is an NHS, academic, and commercial consortium that develops AI platforms, large language models, and data science tools for the NHS. It builds federated learning infrastructure (FLIP), AI deployment engines (AIDE), NLP platforms (CogStack), and disease-specific LLMs (OncoLlama, GenoLlama, PhenoLlama) to enable clinical AI development and deployment across NHS trusts while keeping patient data within institutional firewalls.

Product overview

The AI Centre for Value Based Healthcare operates a platform-plus-products architecture centred on federated learning infrastructure for the NHS. The core platforms include FLIP (Federated Learning Interoperability Platform) for secure multi-institutional AI collaboration, CogStack for NLP-based clinical data extraction, and deepcOS for radiology AI deployment orchestration. These platforms are complemented by application-layer products including OncoLlama (LLM for cancer data extraction), AIDE (AI deployment engine), GeNotes (RAG-based genomics chatbot), GenoLlama/PhenoLlama (genomic concept extraction LLMs), and Haystack (clinical trial matching). The portfolio collectively addresses the full AI development lifecycle from federated data access and model training through deployment and clinical integration, with applications spanning oncology, genomics, population health, radiology, and cardiovascular disease.

Differentiator

Problem solved

Functional benefit

Brands

• FLIP (Federated Learning Interoperability Platform): Open-source federated learning platform linking data from multiple NHS Trusts to enable AI at scale, with secure enclaves for processing within each Trust firewall.
• AIDE (AI Deployment Engine)
• CogStack
• deepcOS
• OncoLlama
• GeNotes
• GenoLlama
• PhenoLlama
• Haystack

Products and services

• FLIP (Federated Learning Interoperability Platform) Open-source federated learning platform linking data from multiple NHS Trusts to enable AI development at scale while keeping patient data secure within institutional firewalls. Provides secure enclaves, data harmonisation, and federated model training capabilities for healthcare organisations.
• CogStack In-house NLP and ML platform that extracts concepts from medical records using Natural Language Processing and MedCat ML models to speed up diagnosis, support treatment decisions, enhance clinical coding, and improve data quality. For use by NHS trusts and healthcare providers.
• AIDE (AI Deployment Engine) Intelligent tool that enables healthcare providers to deploy AI models safely, effectively, and efficiently by integrating AI models into clinical workflows. Deployed live across 6 NHS partner Trusts.
• OncoLlama Open-source NHS-developed Language AI tool that reads cancer patients' medical letters and reports, automatically extracting detailed cancer information including type, stage, genetic markers, and treatment responses with >98.5% accuracy. For NHS trusts and oncology researchers.
• GeNotes AI-driven chatbot commissioned by NHS England National Genomics Education programme that uses Retrieval-Augmented Generation (RAG) to provide consistent, transparent, evidence-based genomic information to healthcare professionals.
• GenoLlama Fine-tuned Large Language Model developed as part of the Genomic AI Network for extracting biomarker information from genomic test result reports. Supports clinical trial recruitment and population of Unified Genomics Record.
• PhenoLlama Fine-tuned Large Language Model for identifying and codifying symptom information as Human Phenotype Ontology terms to improve referral to genomic testing, particularly for patients with suspected inherited cardiac conditions.
• Haystack Clinical trial recruitment platform leveraging fine-tuned Llama 3.1 8B LLM and both structured and unstructured clinical data to dynamically match patients to suitable clinical trials in real time. For NHS trusts, life sciences companies, and clinical research organisations.
• Population Health Data Science Service Service providing population health analytics including risk stratification, medication adherence prediction, deterioration modelling, Cambridge Comorbidity Scores, and geospatial modelling for health inequality identification. For Integrated Care Boards and NHS organisations.
• AI & Data Consulting Consulting service supporting startups and SMEs with AI validation, fine-tuning, and MVP development; real-world evidence generation; and clinical trial recruitment support. For life sciences and healthcare industry partners.
• Real World Healthcare Data Service Service providing access to diverse population-level NHS health data for research and commercial collaborations. Includes 48-hour feasibility turnaround and rigorous ethics process via Data Allocation Committee. For research organisations and commercial collaborators.
• AI Platforms and Models Development Service delivering customised AI platform and model development projects for NHS trusts, academic institutions, and industry partners, leveraging multi-modal data engineering and language AI capabilities.

Quantifiable outcome

• >98.5% accuracy in extracting cancer information from clinical documents using OncoLlama
• +4 more outcomes

Named customers9 records

Segments4 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration5 records

AI capability10 records

Feature7 records

Partnerships

21 partnerships are on record, tiered core, major and minor.

• Flower LabscoreTechnology or Integration · 26 February 2026Open-source collaboration with Flower Labs to implement their industry standard framework for enterprise-scale federated learning within FLIP. Provides Flower framework for FLIP platform enabling secure, multi-institutional AI collaboration.
• University Hospitals Birmingham NHS TrustmajorStrategic or Co-development Partner · 1 January 2023Joined consortium as the first step in expanding beyond South East England NHS trusts. AIDE platform hardware installation began February 2023 with full deployment expected in first half of 2023.
• King's College LondoncoreStrategic or Co-development Partner · 1 February 2019Led by King's College London along with Guy's and St Thomas' NHS Foundation Trust. King's provides academic leadership, research excellence, and School of Biomedical Engineering and Imaging Sciences expertise. Original founding partner when established in February 2019 with Innovate UK funding.
• Guy's and St Thomas' NHS Foundation TrustcoreStrategic or Co-development Partner · 1 February 2019Lead NHS partner alongside King's College London. Serves as steward and long-term operator of FLIP platform at NHS scale. Provides clinical leadership, hospital infrastructure, and regulatory governance for AI deployment in clinical settings.
• deepccoreStrategic or Co-development PartnerStrategic partner providing deepcOS AI deployment platform. Collaboration on use and future developments of the platform. deepc provides infrastructure expertise and experience in secure, vendor-neutral AI lifecycle operations. NHS trusts use deepc platform to deploy in-house AI models in radiology and radiotherapy.
• NVIDIAmajorTechnology or IntegrationPlatform has benefited from contributions by NVIDIA's NVFlare teams. NVIDIA GPU compute supporting AI development and training. Cloud infrastructure support enabling scalable orchestration across distributed environments. Contributor to MONAI open-source initiative.
• AWSmajorTechnology or IntegrationCloud infrastructure support from AWS enabling scalable orchestration across distributed environments. Provides compute infrastructure for AI platform development and deployment.
• GE HealthcaremajorTechnology or IntegrationIndustry partner providing healthcare technology integration. Part of the consortium of NHS, Academic, and Commercial partners working to build data infrastructure and deep data assets.
• GSKmajorStrategic or Co-development PartnerPharmaceutical industry partner in the consortium. Contributing to life sciences collaboration for AI-enabled drug discovery and clinical research.
• IBMmajorTechnology or IntegrationIndustry partner in the consortium providing technology integration capabilities for healthcare AI development.
• NvidiamajorTechnology or IntegrationTechnology partner providing GPU computing infrastructure and contributions to MONAI open-source toolkit for deep learning in healthcare imaging.
• PerspectummajorTechnology or IntegrationPartner for liver cancer AI project, providing technology integration for MRI and CT scan analysis and AI tool development.
• Siemens HealthineersmajorTechnology or IntegrationPartner for atrial fibrillation AI tool development (automatic analysis of atria and ventricles from MRI images) and coronary artery disease pathway companion application development.
• CogStackmajorTechnology or IntegrationIn-house spin-out from KCL, KCH, UCLH, SLaM and GSTT. Platform uses NLP to extract concepts from medical records and ML models (MedCat) for diagnosis, treatment, coding and data quality.
• Imperial College LondonmajorStrategic or Co-development PartnerUniversity partner in the consortium providing academic research excellence in AI and healthcare.
• UCLmajorStrategic or Co-development PartnerUniversity partner contributing to HD-Neuro project (neurological illness AI models) and stroke AI research through UCL Institute of Neurology.
• OneLondoncoreStrategic or Co-development PartnerKey funding partner for London Secure Data Environment. AI Centre commissioned as key delivery mechanism for enhanced analytics functionality for London SDE. Collaboration on FLIP platform development and public engagement for data governance.
• King's Health PartnerscoreStrategic or Co-development PartnerFunding partner and part of KHP Digital Health Hub. AI Centre is part of King's Health Partners delivering on health innovation initiatives.
• NHS Genomic AI NetworkcoreStrategic or Co-development PartnerFunding partner for national Genomics AI programme. AI Centre developing GenoLlama and PhenoLlama as part of Genomic AI Network for high precision medical concept extraction.
• Health Innovation NetworkminorStrategic or Co-development PartnerHealth innovation network partner collaborating on AI in healthcare initiatives and fellowship programme evaluation.
• NHS Trusts (East Kent, Imperial, King's College Hospital, Lewisham and Greenwich, Royal Brompton & Harefield, University Hospitals Sussex, UCLH)coreStrategic or Co-development Partner8 NHS trusts as partner trusts providing clinical sites, patient data infrastructure, and deployment environments for AI platforms. Each trust hosts secure enclaves for federated learning and contributes clinical expertise for AI model development.

Scale indicators7 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Owkin: Owkin is a Franco-US federated learning and AI company for healthcare and life sciences research, partnering with hospitals and pharma. It is directly comparable to the AI Centre's FLIP-based federated learning approach and similar multimodal AI development for clinical and translational research, though Owkin operates commercially across multiple geographies rather than within a single national health system.
• Qure.ai: Qure.ai builds deep-learning models for medical imaging interpretation (chest X-ray, head CT, tuberculosis) with global deployments including partnerships with public health systems. It is comparable as a radiology AI platform provider targeting high-volume hospital workflows, though it operates commercially across multiple geographies rather than within a single national consortium.
• Faculty AI: Faculty is a London-based applied AI company with deep NHS engagement (notably the NHS COVID-19 data platform) and a focus on safety-critical, regulated AI deployments. Like the AI Centre, it builds clinical-grade AI with strong governance and data privacy controls, but operates as a commercial consultancy rather than an open consortium.
• Kheiron Medical Technologies: Kheiron Medical develops AI for breast cancer screening (Mia) and other radiology applications and has pursued NHS adoption. It is comparable as a UK-headquartered medical imaging AI company targeting NHS radiology pathways, similar to the AI Centre's radiology AI deployments via FLIP and deepcOS.
• ClosedLoop.ai: ClosedLoop is a healthcare-focused AI platform for population health, risk stratification, and clinical predictive analytics. It overlaps with the AI Centre's predictive analytics and population health ML capabilities commissioned by London ICBs, although ClosedLoop is a US-based commercial SaaS platform.
• deepc: deepc provides the deepcOS AI deployment platform that the AI Centre distributes to NHS trusts for radiology and radiotherapy AI orchestration. They share the same vendor-neutral AI deployment value proposition within NHS clinical workflows, with deepc serving as the operational layer and the AI Centre providing the federated learning and model layer above it.

Others

• CogStack (King's College London spin-out community): CogStack is both an in-house AI Centre spin-out and a related open-source NLP platform used across KCL, KCH, UCLH, SLaM and GSTT. It overlaps technically with CogStack/MedCat NLP capabilities the AI Centre deploys, and is included as an ecosystem peer rather than a separate commercial competitor.

Broad incumbents

• Microsoft Nuance Communications: Nuance (now Microsoft Cloud for Healthcare) provides clinical NLP, ambient documentation, and radiology AI across large health systems. It overlaps with CogStack and OncoLlama's clinical NLP capabilities, but as part of a broad Microsoft health portfolio rather than as an NHS-specific federated platform.
• Tempus Labs: Tempus is a US-based clinical data and AI platform spanning genomics, pathology, and imaging, with strong pharma real-world evidence offerings. It is comparable to the AI Centre's GenoLlama/PhenoLlama and Real World Healthcare Data services in life sciences data monetisation, but at much larger commercial scale and with equity-funded capital.
• Google DeepMind (Health): DeepMind's health division (e.g., AlphaFold, Streams app with NHS partners) is a broad incumbent in healthcare AI, with comparable multimodal clinical AI research and NHS engagement. It dwarfs the AI Centre in capital and compute, but lacks the consortium-led, NHS-firewalled deployment model that distinguishes the AI Centre.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks5 records

Key highlights7 records

Customer concentration

• GitHubgithub.com/londonaicentre
• LinkedInuk.linkedin.com/company/ai4vbh

Compliance3 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles9 records

Funding overview

Funding rounds1 record

Investors1 record

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M&A

Investments

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Frequently asked questions about Artificial Intelligence Centre for Value Based Healthcare