JUMP

Industrializing Data Science

We make MLOps software to manage machine learning models and create well-governed analytics factories.

Who We Are?

Architects • Engineers • Business Experts

JUMP offers tailored software solutions and advisory to assist organizations industrialize advanced analytics.

Certified Cloud Partners

We are Google Cloud Platform Services Partner and hold certifications as GCP Professional Cloud Architect, GCP Professional Cloud Engineer and Microsoft Azure Solutions Architect Expert.

Experienced Team

Our core team brings extensive experience in data science, big data engineering and business analysis from some of the world's leading companies.

Unbiased Analytics

Transparency, Honesty and Quality

We are technology agnostic, open-source enthusiastic, and our objective is to always create long-term value to our clients by providing unbiased advice and quality solutions.

Our Services

What we do?

Industrializing Data Science

Advisory

We work at the intersection of business, data science and IT, and offer advisory in data platforms, machine learning and advanced analytics strategy.

Software

We make MLOps software to manage machine learning models and create well-governed analytics factories.

Implementation

We offer design and implementation of AI solutions and platforms that fit your organization's needs and technology landscape.

Our references

Selected engagements in 2019 and 2020

Data and Machine Learning Platforms for a Danish energy company

Principal Machine Learning Architect
- Leading design and development of the group-wide machine learning platform on Microsoft Azure
- Designing team organization and processes for the platform
- Implementing use cases on the platform and driving adoption
- Developing technical and capability roadmaps for the platform's future

Data Platform Owner
- Interim product owner of the central data platform in the cloud
- Responsible for prioritization of features and use cases, development, operation and adoption of the platform

Mobility analytics solution for a Northern European railway company

Solution Architect and Technical Lead
Leading design, development and deployment of a data science solution on GCP to predict country wide passenger flows across modes of transport based on telecommunication data

Data Science architecture and modeling for one of the world's largest retailers

Expert Data Scientist
- Technical leadership, cloud architecture and ML models development for Customer Interaction Analytics (NLP for audio and text)
- Technical supervision and advisory on GCP on several projects
- Evangelising MLOps and kickstarting implementation across projects

JUMP model manager

Industrialize your analytics with minimal disruption and cost

JUMP MLOps software brings best practices from software development into data science in order to manage the full lifecycle of machine learning models by standardizing, facilitating and overseeing their development, deployment and performance.

JUMP uses open-source technologies and adapts seamlessly to client environments to minimize integration efforts.

The software:

• Configures missing analytics factory components and enables missing capabilities

• Streamlines and standardizes machine learning model’s journey between the components through tailored workflows that connect business, data science and IT.

• Governs the system

Rich features

• Organization of the ML work process into streamlined, customized workflows
• Control and change tracking over model code, teamwork and code reviews
• Tracking of model metrics, hyperparameters etc. to support model improvement and selection
• Fast and scalable model serving
• Monitoring of model usage and performance, alerting
• Interpretations for model output
• Facilitation of automated build, test and deployment

Unique value

• Shortened time to deployment in production
• Continuous improvement in quality of deployed models
• Auditability
• Increased transparency and tighter collaboration between Business, Data Science and IT

Get In Touch

Data • Cloud • Machine Learning

Phone Number

+45 29 79 77 45

Email Address

mp@jump.as

Address

Classensgade 17, 2100 København Ø