Analyze. Scale. Adapt.
Analyze. Scale. Adapt.
We are a boutique startup of passionate engineers and scientists who believe that innovation is the key to a better future, specifically, that scientific discovery deserves modern, adaptable, and scalable data pipelines.
Our team is committed to building digital infrastructure to scale your analyses; no matter how small or early it may be. We take away the distractions of data engineering, IT, and procurement to help you focus on your domain expertise and your purpose.
We are a boutique startup of passionate engineers and scientists who believe that innovation is the key to a better future, specifically, that scientific discovery deserves modern, adaptable, and scalable data pipelines.
Our team is committed to building digital infrastructure to scale your analyses; no matter how small or early it may be. We take away the distractions of data engineering, IT, and procurement to help you focus on your domain expertise and your purpose.
Offerings:
Offerings:
Data Pipelines
Data Pipelines
Researchers often struggle with manually processing and integrating large datasets. Data pipelines automate
pre-processing and transformation, that can be tedious or error-prone when done by hand. They ensure consistency and enable quality-assurance checking, freeing up time to focus on data insights instead of manual management.
Researchers often struggle with manually processing and integrating large datasets. Data pipelines automate
pre-processing and transformation, that can be tedious or error-prone when done by hand. They ensure consistency and enable quality-assurance checking, freeing up time to focus on data insights instead of manual management.
Researchers need efficient environments for developing analysis and plotting results. Development environments provide scalability, remote collaboration, and consistency in dependencies across team members, either through a cloud-based service or on local server hardware. Both options allow scientists to choose the best setup for their project needs, enhancing productivity and resource access.
Researchers need efficient environments for developing analysis and plotting results. Development environments provide scalability, remote collaboration, and consistency in dependencies across team members, either through a cloud-based service or on local server hardware. Both options allow scientists to choose the best setup for their project needs, enhancing productivity and resource access.
Development Environments
Cloud or Local
Development Environments
Cloud or Local
Development Environments
Cloud or Local
Database Management Systems
Database Management Systems
Managing large datasets can be a complex process with idiosyncratic systems that may not be able to grow with the project. Database Management Systems organize, store, and retrieve data efficiently. They provide secure, scalable solutions for structured and unstructured data, supporting researchers with querying, data manipulation, and reliable data management.
Managing large datasets can be a complex process with idiosyncratic systems that may not be able to grow with the project. Database Management Systems organize, store, and retrieve data efficiently. They provide secure, scalable solutions for structured and unstructured data, supporting researchers with querying, data manipulation, and reliable data management.
Researchers often need to store and analyze large datasets as they’re being collected. Data lakes address this by storing raw data in its native format. They enable researchers to handle both structured and unstructured data, supporting advanced analyses and machine learning across large-scale projects.
Researchers often need to store and analyze large datasets as they’re being collected. Data lakes address this by storing raw data in its native format. They enable researchers to handle both structured and unstructured data, supporting advanced analyses and machine learning across large-scale projects.
Data Lakes
Data Lakes
Data Lakes
Our team:
Our team:
Raphael Guzmán,
CEO
Raphael Guzmán, CEO
Raphael Guzmán, CEO
With 10+ years of experience in leading software engineering teams, Raphael brings expertise in performant algorithm design, scaling production systems, database management, security, distributed computing, and process automation.
With over 10yr experience in leading software teams, Raphael brings expertise in scaling systems, database management, security, distributed computing, and automation.
With over 10yr experience in leading software teams, Raphael brings expertise in scaling systems, database management, security, distributed computing, and automation.
Jeroen Verswijver,
Software Engineer
Jeroen Verswijver,
Software Engineer
Jeroen Verswijver,
Software Engineer
Software Engineer specializing in Full Stack Development. Passionate about driving innovation and making a meaningful impact.
Software Engineer specializing in Full Stack Development. Passionate about driving innovation and making a meaningful impact.
As both a scientist and data engineer, Chris lends his expertise in both the scientific process and professional data automation.
As both a scientist and data engineer, Chris lends his expertise in both the scientific process and professional data automation.
Chris Brozdowski, PhD
Customer Development
Chris Brozdowski, PhD
Customer Development
Chris Brozdowski, PhD
Customer Development
Contact us:
Contact us: