One-week onboarding for Biotech
Cloud onboarding
Get AI-ready in just 1 week!
Is this you?
Are you a small or medium-sized biotech company managing vast amounts of data? Are you eager to harness the power of AI and machine learning on the cloud? If so, this one-week cloud onboarding service is designed for you.
We ensure your team is fully equipped and AI-ready in a secure, scalable cloud environment in just one week, offering the fastest cloud onboarding for biotech.
Your cloud-powered toolkit
We provide everything your team needs to succeed in working on the cloud: from interactive environments for data processing on cloud for biotech to secure cloud storage biotech to secure storage, continuous development, and budget management, as part of our biotech cloud solutions.
What's included in our package:
Interactive environment
Interactive environment for Bioinformaticians to process data and generate reports and Data Scientists to train and evaluate ML & AI models, crucial for machine learning for cloud biotech.
Optimal storage configuration
Optimal storage configuration to store collected data in accessible and secure manner, providing secure cloud storage.
Code repository with continuous development
Code repository with continuous development environment to ensure best practices.
Security settings setup and training
Security settings setup and training, including user management integrated with preferred Single Sign-On provider.
Budget alarms
Budget alarms to keep expenses under control.
Workspace
Workspace to run data processing pipelines, optimized for data processing.
Your data workflow, simplified
Collect Data
Gather data from your lab experiments to prepare for subsequent analysis, a key step in optimizing your data workflow on cloud.
Data Transfer and
Secure Storage
Seamlessly transfer your data to a secure, cloud-based storage system. Our service ensures that your data is safe and easily accessible for your team, vital for cloud onboarding for biotech.
Analyze and Collaborate on the Cloud
With our service, your team can work collaboratively in an interactive environment, using advanced tools to process, analyze, and extract insights from data, leveraging the full power of biotech cloud solutions.
See the impact
Case studies
Frequently Asked Questions
What is cloud onboarding for biotech?
Cloud onboarding for biotech is the process of rapidly migrating and configuring a company’s data, tools, and workflows into a secure cloud environment. It allows biotech teams to start processing large datasets, perform machine learning, and enable AI-driven drug discovery without the delays associated with building and maintaining on-premise infrastructure.
How fast can a biotech company get AI-ready in the cloud?
Your company can become fully AI-ready within five business days. This rapid implementation is made possible by preconfigured, cloud-native environments and automated pipelines that remove manual setup steps and allow teams to start running analyses and training models as soon as onboarding is complete.
Is data security ensured during the cloud onboarding process?
Yes, data security is a core element of cloud onboarding. This includes basic adherence to international standards by providing Single Sign on Binding and Multi Factor Authentication along with safe networking configured. The cloud infrastructure used (AWS, Azure, GCP) are compatible with international legal requirements** and standards for storage of sensitive, mission critical and personal data. Ardigen can ensure compliance with FAIR data principles and relevant regulations such as HIPAA and GDPR in subsequent steps. Data will be protected through end-to-end encryption, role-based access control, audit trails, and secure cloud-native infrastructure with versioning and backup policies.
What kind of interactive environments are provided for data processing and ML model training?
The onboarding includes access to secure, cloud-hosted environments such as JupyterLab and RStudio for data exploration and analysis. Machine learning frameworks including TensorFlow, PyTorch, and scikit-learn can be configured, and GPU resources can be enabled for high-performance deep learning. Visualization and dashboarding tools are also provided for real-time insights.
Does this service include training for our team?
Yes, hands-on training is included to ensure that the team can start using the cloud environment immediately. The training covers navigating the platform, running bioinformatics and machine learning workflows, uploading and processing data, visualizing results, and applying best practices for secure collaboration in the cloud.
These cloud solutions are overseen by leaders like Piotr Fabijański, PhD, Ardigen’s Director of Software Engineering. His expertise in cloud-native architecture is key to delivering efficient and scalable biotech workflows.
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