jolin.io
- Julia IT-consultancy
- Building full production-grade solutions, including data architecture, ml ops, dev ops, gdpr and user interface.
- Jolin.io values the common good and supports respective academic or SDG projects.
Founded by Stephan Sahm
- a full stack data science consultant
- 10 years experience in data science
- 5 years in consultancy
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jolin.io
jolin.io
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— VKB
Short term
- PoC machine learning with Julia
- PoC performance speed up with Julia
Mid term
- forecasts of predictors
- real-time analysis
- simple performant alternative to Spark for Big-Data
- individual ai dashboards
Long term
- migrating from Python to Julia
- migrating from Fortran to Julia
- migrating from SAS to Julia
jolin.io
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— VKB
Scope short term
- development by Jolin.io
- data provided by VKB
- infrastructure provided by VKB (if applicable)
- 12 days
Scope mid/long term — support with all stages
- requirements assessment
- feasibility evaluation
- dependency tracking
- time & resource planning
- training
- development
- deployment
- operations
jolin.io expertise
Industries
- neuroscience
- automotive
- telecommunication
- media
- energy
- manufacturer & retailer
- e-commerce
- …
Algorithms
- probabilistic programming
- mathematical optimization
- differential equations
- natural language processing
- time series forecast
- fraud/anomaly detection
- recommender systems
- error estimation
- classification & regression
- computer vision
- big data & real time ETL pipelines
- …
Infrastructure
- DevOps & MLOps
- AWS expertise
- Azure & Google Cloud
- infrastructure as code
- building datalakes
- setting up compute infrastructure
- Kubernetes, Hadoop, HDFS, Slurm, …
GDPR & compliance
- traceable data flows
- right to be forgotten
- consent management
- pseudonymization
- anonymization
- prevention of discrimination
- …
the language
Developed and incubated at MIT, Julia was designed to
solve the two-language-problem of applied mathematics
- you need performance
- you need an easy-to-use language
40x less energy consumption than Python
Python/R code can be easily rewritten in Julia and immediately runs massively faster. This saves electricity and costs.
Accelerations by a factor of 10 to 100 are typical.
Learn moreDeveloper friendly
Julia is easy. New people can easily find their way in and prototypes can be created quickly.
In Julia everything is Julia. This simplifies development, finding errors and optimizing. Ideal for successful commissioning.
Learn moreWell maintainable
Julia enables an unprecedented level of code reuse thanks to multiple dispatch.
It will make your solution simpler and easier to maintain.
Learn moreBuilt for data science
Applied mathematics is the main focus of Julia’s ecosystem and community.
You want state-of-the-art machine learning, optimization, simulation or other advanced data processing? It is all there.
Learn more jolin.io general offering
Building a Julia proof-of-concept
Not sure yet if you should use Julia?
The best way to find out is to start small, with a PoC of your choice.
Learn moreMigrating parts to Julia
Jolin.io helps you with all stages: requirements engineering, planning, Julia development, and training of your team.
Migrate from Python, R, Matlab, SAS, Fortran, C++, Java.
Learn moreBig data, real time & HPC
Is your data too large to be processed in time by a single machine? Or do you have streaming processes with realtime requirements?
Jolin.io can provide you with solutions that scale in speed and size.
Learn moreIndividual training & consultancy
Jolin.io offers trainings and assistance at all levels, whether at beginners stage, intermediate or advanced, for prototyping, analysis, reporting, or production use.
Every special request is welcome.
Learn moreWe also do energy-consumption monitoring, high-performance-computing and general performance optimization.