Data Science Platform
Focus on your data science goals while we handle the setup, maintenance,
and optimization of your analytics environment.
We simplify data science platform management by providing a centralized solution. With everything in one place, we reduce complexity and enable you to focus on insights and innovation while achieving the outcomes you need to succeed.
Streamline your data pipelines and workflows. We integrate disparate data sources to provide a unified, accurate view, ensuring consistency and reliability.
Free your team from technical bottlenecks. With an optimized infrastructure, your scientists can focus on delivering impactful insights faster.
Adapt to changing needs effortlessly with infrastructure that scales as your data science projects evolve and grow.
Simplify your processes and reduce deployment time. Automation and optimized workflows ensure faster delivery of insights with minimal effort.
Transforming manual processes into automated, efficient systems using tailored platforms for data visualization, reporting, and analysis.
Cost savings achieved over three years through efficient report generation and streamlined platform workflows.
Reduction in manual effort, automating critical GxP reports like CPV, APR, and Stability Testing to save time and ensure compliance.
We design cloud solutions, integrate data tools, and automate workflows to deliver faster and smarter data intelligence.
Kjell Håkon Berget, Technology Leader
Elkem
Cloud Services
Tailored cloud architectures built for scalability, security, and compliance. Transition seamlessly from on-premise to the cloud while maintaining data integrity.
Ensure your cloud-based systems meet GxP standards. Qualify workflows, processes, and tools with regulatory precision for life sciences and other industries.
Automate cloud resource provisioning with IaC. Tools like Terraform and Pulumi enable consistent, scalable, and auditable infrastructure deployments.
Improve cloud workflows with CI/CD pipelines, monitoring, and automation. Achieve faster deployment, higher reliability, and reduced operational overhead.
Data Intelligence Platform
Integrate tools like AWS, Databricks, and Posit to streamline workflows. Build a cohesive ecosystem that enhances data accessibility and performance.
Automate data workflows by unifying data silos and streamlining pipeline processes. Ensure faster insights with reliable and efficient data orchestration.
Establish governance frameworks to secure data quality, compliance, and accessibility. Create a single source of truth for better decision-making.
Configure specialized computing environments for scientific computing and high-performance workloads. Handle complex data analysis and simulations with ease.
Backed by world-class engineering and certifications, our experience with Fortune 500 companies drives impactful outcomes.
Our expert engineers craft scalable, high-performing solutions, tackling the most complex challenges with precision and innovative thinking.
We’ve collaborated with Fortune 500 companies, delivering tailored solutions that drive efficiency and measurable results.
As certified partners with Posit, AWS, Databricks, Domino Data Lab, and others, we bring trusted tools and best practices to every solution we deliver.
Our team masters leading technologies, ensuring every project is built with reliability, scalability, and performance in mind.
Andrea Nicolaysen Carlsson
Technology Manager Electrodes at Elkem ASA
Director
at Top10 Pharma Company
Director
at Top5 Pharma Company
Explore how we help leading organizations solve challenges with tailored solutions in biopharma, research, and technology.
Answers to the most common questions about data platforms, cloud solutions, and infrastructure best practices.
Data governance ensures data quality, security, and regulatory compliance, enabling organizations to make accurate decisions and maintain trust in their data assets.
Infrastructure as Code is the process of managing and provisioning IT infrastructure using code instead of manual configuration. It allows for automation, version control, and scalability, ensuring consistent and repeatable infrastructure setups.
Cost optimization involves right-sizing your infrastructure, using cloud cost-management tools, automating workflows, and leveraging serverless or spot instances to reduce idle resource usage and improve efficiency.
A Scientific Computing Environment (SCE) is a specialized infrastructure for managing complex data analysis and modeling, particularly in data-intensive industries like life sciences and pharma.
CI/CD pipelines automate code integration and deployment, reducing manual errors, improving delivery speed, and ensuring consistent updates for data-driven applications.
Data orchestration automates the movement and transformation of data across systems, improving accessibility, consistency, and readiness for analytics.
Reach out to explore custom solutions designed to meet your infrastructure and workflow needs.
Talk to our Experts