Cloud-native data science consulting
Recent advances in machine learning and computational capabilities have opened up a new world of possibilities. Cloud-native workflows and architectures allow for unprecedented scalability and infrastructure automation. Based in Amsterdam, Gradient Ascent was founded to explore and exploit these possibilities, and to help our clients to do the same.
from routine machine learning solutions to state-of-the-art model development
from minimal back-end microservices to complete cloud-native software applications
from continous integration and deployment of software to continuous training of models
from AI workshops and defining an AI roadmap to training your data science team for cloud-native workflows
Past and current projects of Gradient Ascent
Training the data science team of an Amsterdam-based data provider for cloud-native workflows using Kubeflow
"We're extremely pleased with Gradient Ascent's support and guidance in setting up our GitOps, CI/CD and Kubernetes workflows. We've been fortunate to have them on our team."
Tom Savels
Managing Partner
White Space Energy
Implementing a state-of-the-art machine-learning system, a goal set after an AI workshop and subsequent use-case workshop
Implemented an automated model training pipeline for intent recognition models, making deployed models accessible through a custom microservice.
Cloud-native data science means taking full use of cloud technologies to work with datasets of any size, automate data collection and processing, model training and deployment. We use open-source, industry-standard tooling to build scalable, performant and maintainable solutions.
routine machine learning model development
state-of-the-art model development
data exploration and visualisation
back-end microservice development
back-end application development
full cloud-native application development
model deployment
model deployment automation
setup of streamlined data labeling flow
setup of active learning labeling flow
setup of CI/CD with kubernetes
secure software deployment
hands-on AI workshops
AI use-case workshops
AI roadmap workshops
technical trainings
Clear code, minimal microservices and modular architectures to minimize complexity, maintenance and bugs.
Industry standard tools, consise documentation and clear instruction to maximize maintainability and minimize technical debt.
Currently limited, but open to discuss future projects
Globally through remote working
On-site up to 1 hour radius from Amsterdam