List of Lifebit Customers
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United Kingdom
Since 2010, our global team of researchers has been studying Lifebit customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Lifebit for Analytics and BI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Lifebit for Analytics and BI include: Boehringer Ingelheim, a Germany based Life Sciences organisation with 54500 employees and revenues of $28.94 billion, National Institute For Health Research & Wessex Research, a United Kingdom based Professional Services organisation with 200 employees and revenues of $13.0 million, Nationalt Genom Center Denmark, a Denmark based Healthcare organisation with 40 employees and revenues of $5.0 million and many others.
Contact us if you need a completed and verified list of companies using Lifebit, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Boehringer Ingelheim | Life Sciences | 54500 | $28.9B | Germany | Lifebit | Lifebit | Analytics and BI | 2022 | n/a |
In 2022 Boehringer Ingelheim implemented Lifebit within its IT environment to provision a scalable data, analytics and infrastructure platform. The Lifebit deployment, leveraging Lifebit CloudOS, was positioned as an Analytics and BI capability to enable federated access and analysis of large clinico-genomic cohorts and external biobanks, with an explicit focus on accelerating translational R&D.
The implementation emphasized federated TRE and analytics capabilities, including orchestration of compute and secure analytical workspaces, data cataloging for controlled cohort discovery, and policy-driven access to distributed datasets. Lifebit CloudOS was used to instrument federated workflows and to standardize analytical pipelines consistent with Analytics and BI functional workflows for research informatics.
Operational scope for the Lifebit deployment covered pharma R&D activities across Germany and global research collaborations, integrating Boehringer Ingelheim’s internal data estate with external biobanks and large clinico-genomic cohorts. The platform was embedded into Boehringer Ingelheim’s IT environment, enabling cross-site federation rather than a standalone external service.
Governance and workflow control were aligned to federated access models, with implementation of role-based controls, data governance policies and secure research environment controls to manage provenance and consent-aware access. Lifebit as an Analytics and BI platform was therefore framed around federated data access, secure analytics execution and governance to support translational research use cases.
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National Institute For Health Research & Wessex Research | Professional Services | 200 | $13M | United Kingdom | Lifebit | Lifebit | Analytics and BI | 2022 | n/a |
In 2022, National Institute For Health Research & Wessex Research implemented Lifebit in the Analytics and BI category to establish the CYNAPSE platform as a cloud-based Trusted Research Environment. The deployment was delivered in partnership with NIHR Cambridge Biomedical Research Centre and leveraged Lifebit CloudOS to enable secure management and analysis of local clinico-genomic datasets for research.
Implementation centered on Lifebit CloudOS TRE capabilities and federated analytics workflows, inferred from the project description, to permit analysis across sites while keeping data local. Configuration work included standard TRE elements such as role based access controls, containerized analysis pipelines, data cataloguing and governance control points to support reproducible clinico-genomic research.
Integrations focused on connecting Lifebit to local clinico-genomic datasets at participating UK research sites, enabling collaborative analytics across Cambridge BRC and Wessex Research teams. The operational scope covered research and clinical genomics functions, supporting controlled query and federated computation without centralized data movement.
Governance and rollout emphasized audit trails, policy driven access provisioning and federated governance constructs to align access controls and compliance across institutions. Deployment and provisioning workflows were oriented around standardized analytic environments and federated study processes to support multi site genomics research using Lifebit CloudOS.
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Nationalt Genom Center Denmark | Healthcare | 40 | $5M | Denmark | Lifebit | Lifebit | Analytics and BI | 2022 | n/a |
In 2022 Nationalt Genom Center Denmark deployed Lifebit CloudOS, implementing Lifebit as its cloud analytics platform. The deployment is recorded under the Analytics and BI category and targets nationwide personalised medicine and secure analysis of clinical and genomic data.
The implementation established a federated Trusted Research Environment using Lifebit CloudOS capabilities for federated analytics, secure compute to data processing, and access control configuration. Configuration focused on standardized analytic workflows and reproducible pipeline orchestration consistent with Analytics and BI practices for genomics research.
Lifebit CloudOS was provisioned within the Danish National Genome Center national supercomputing cluster to enable distributed compute across clinical data sources and research nodes. Operational coverage spans Denmark's national genomics programs and supports clinical genomics and research functions through centralized orchestration of analytics workloads.
Governance implemented a federated access model and audit oriented workflows to control researcher access and data use across participating sites. The rollout emphasized secure, auditable analytic processes and standardized pipelines to maintain consistent analysis practices across the national infrastructure.
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