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The AI Stack
And how we can help
AI & ML
Analysis
Compute
Data & storage
Infrastructure
AI & ML
Building AI & ML powered applications starts with knowledge about the business case and domain. Combining data understanding and enrichment with machine learning algorithms allows us to identify patterns in the data impossible to compute with traditional programming. Our data science team are experts in statistics, machine learning, deep learning and algorithms. The infrastructure team facilitates the necessary building blocks. The data engineering team provides the fuel to make the AI stack possible. We’re here to help.
Our offers
What can we do together?
Consulting
We offer consultancy services in anything related to data, infrastructure, AI & ML or application development.
Reach outAdvising
Pondering the next steps or the best solution? You can always come to us for advise.
Contact usWorkshops
Curious about a specific use case, subject, technology? We plan workshops around your needs.
Book workshopProof of Concepts
Building a PoC? This is our speciality - we'll be happy to help you out.
Let's build somethingFeatured blog posts
Easily digestible
Adventure planning and decision-making using KMeans clustering
2019-10-12
3 min read
Oskar Handmark
Adventure planning and decision-making using KMeans clustering. A post about solving a real everyday life problem by grouping people with similar wishes using data analysis and machine learning.
Read moreNLP: Gaining insights from text reviews
2020-03-19
12 min read
Fredrik Olsson
A look at various NLP tasks one can perform on text reviews to extract different kinds of information using machine learning
Read moreGöteborgsvarvet Part 3 - Finish time prediction
2020-02-24
7 min read
Oskar Handmark
Göteborgsvarvet Part 3 - How to use machine learning to predict runner finishing times. We use a number of carefully engineered features to train multiple Ridge Regression models for half marathon finish time predictions at different stages of the race.
Read moreA bit more technical
A deep dive in gradient boosting with LightGBM
2019-09-02
10 min read
Fredrik Olsson
A closer look at lightgbm, the mathematics behind gradient boosting and survival prediction for titanic passengers.
Read morePricing financial options using Monte Carlo simulations
2020-02-11
7 min read
Fredrik Olsson
A dive into the world of finance and specifically financial options. We will have a look at how these contracts can be priced using Monte Carlo simulations.
Read moreDetecting snow and cloud patches in satellite images
2020-12-07
7 min read
Fredrik Olsson
In this post, we will take a look at our approach to solve the problem of detecting snow and cloud patches in real world satellite images during the Copericus Hackathon 2020.
Read moreCustomer Stories
A few of the many cases we have worked on.
One of Sweden’s largest audiobook and e-reading platforms.
Backtick implemented and productionised a book classifier to streamline internal management processes and speed up publication of new content.
Enables online businesses to detect and prevent user account fraud.
Backtick created an entire AI pipeline for Castle - enabling the company to create, develop, test, deploy and maintain AI models for rapid real-time anomaly detection.
End-to-end encryption provider.
Backtick created an event stream management system for a smoother experience in Hyker’s encryption platform.
Award winning consultancy firm.
As Berge's in-house AI-team, Backtick delivers data science solutions to cutting edge tech companies around the world.