Clear, Transparent Pricing
Ensures cost-effectiveness with straightforward, transparent pricing that demystifies costs and empowers budget planning.
The Goal
Streamline your Data Management and Processing Operations with DataHarmony
Efficiently managing and leveraging data across various departments, teams, and external collaborators is a critical challenge in the life science sector, impacting both SMEs and academic research institutions. DataHarmony introduces a unified solution that addresses this challenge by providing an integrated, highly secure platform that facilitates data storage, sharing, and management, combined with powerful computational tools and synthetic data generation capabilities.
User-friendly interface for data storage, management, and analysis- Secure & customisable research environment, bespoke to your organisation
- Cutting-edge security, auditing, and data protection
- Cost-efficient & AI-ready cloud architecture
Designed for Research Excellence
Comprehensive Data Management Benefits
Our holistic approach ensures that life sciences organizations can efficiently manage their data, comply with regulatory requirements, and accelerate their research and development efforts.
Enhanced Collaboration
Securely share data and collaborate with external partners to advance research efforts.
Improved Compliance
Simplify data governance and regulatory compliance with built-in tools.
Case Studies
Our platform is designed to meet the dynamic needs of bioinformatics researchers by providing a flexible and powerful environment for data analysis. Users can easily upload their data and deploy virtual machines (VMs) on demand, with customizable options for CPUs, GPUs, and RAM. This ensures that researchers can scale their computational resources without the overhead costs of additional IT infrastructure. The platform supports popular programming languages like Python and R on R Studio, equipped with a comprehensive suite of pre-installed packages tailored for bioinformatics workflows.
Use Case 1: Secure Medical Data Hosting for Pharmaceutical Research
One of our early adopters utilizes our platform to host and analyze sensitive medical patient data. They face stringent regulations regarding data access and security. To address these needs, we have implemented several key features:
- Secure VM Environments: The VMs are designed to ensure that data can only be accessed within these secure environments. They are isolated, with no internet access and no ability to download or copy-paste data onto local machines.
- Controlled Data Access: Researchers can access the data within the VM, perform their analyses, and save their results. To download plots or other outputs to their local environment, they must request permission from the data owner. This controlled access ensures data security and patient privacy.
- Enhanced Privacy Protections: Even though the patient data is anonymized, our additional security measures ensure that users cannot misuse or sell the data, providing an extra layer of protection.
Impact: This use case highlights how our platform supports secure, compliant, and efficient data analysis, making it an invaluable tool for bioinformatics research in highly regulated industries.
Use Case 2: Automated Data Pipeline for Genomics Research
Another early adopter frequently generates data through a third-party DNA sequencing provider. To streamline their analysis workflow, we have developed a comprehensive automated pipeline:
- Automated Data Ingestion: The pipeline begins by directly ingesting data from the third-party provider onto our platform, eliminating manual data handling steps.
- Metadata Collection: The researcher receives an automated email requesting the input of necessary metadata via a user-friendly interface.
- Containerized Analysis Workflow: Once the metadata is provided, a containerized analysis workflow is automatically initiated, ensuring consistency and efficiency in data processing.
- Notification of Results: Upon completion of the analysis, the system sends an email notification to the researcher, who can then download the analyzed files, including plots and other relevant outputs.
Impact: This use case highlights the platform's ability to automate complex workflows, reduce manual intervention, and expedite the analysis process, enhancing productivity and enabling researchers to focus on insights rather than data management.
Who we are
Innovative cloud, data, and software engineers led by delivery managers and genetics research visionaries
We founded DataHarmony, a pre-seed startup established in December 2023, dedicated to developing a transformative data management platform for the life sciences. To achieve this, we are exploring and synthesising state-of-the-art cloud solutions with intelligent data analysis and modern biomedical research. Leveraging years of experience in cloud and software solutions and biomedical research, we are collaborating with industry experts to craft the best possible solution. We, the co-founders, have worked together for four years. We previously founded and ran a successful cloud consulting business. We share values, a strong vision for the healthcare industry, and a passion for developing DataHarmony.
Luke Chrimes
CTO
Luke is an AWS Certified Solutions Architect with extensive experience in HMG and as a Data Engineer at Cello Health, where he developed models to evaluate government investments in pharmaceuticals. He has successfully spearheaded multi-million-pound projects on cloud solutions, delivering innovative solutions and providing diverse data analyses across various industries. With a degree in Genetics, Luke possesses a unique insight into designing impactful software solutions for biomedical research.
Alex Cornean, PhD
CEO
Alex is a Data Scientist and Genome engineer with more than 8 years of experience in biomedical research, including the analysis of large-scale datasets, such as in genomics. He is currently still conducting research in developing new Gene therapy strategies and knows which constraints current IT solutions place on innovation and what the qualitative and regulatory needs of scientists in biomedicine are.
Joseph Babbage
COO
Joe is a Delivery Manager and Information Governance expert with over 4 years of experience delivering projects, maintaining quality, and developing secure and ethical innovation in businesses. Joe has a degree in Molecular Biology, where he learned the important of efficient streamlined management of research.
Building the Future Together
Partnered with
We are proud to collaborate with experts in academia and industry leaders to drive innovation in the life sciences. Our partnerships ensure that we deliver the best solutions for data management and research excellence.