AI, Machine Learning & Algorithms
Our AI & ML competence is often the reason why customers reach out to us in the first place. We provide applied AI, algorithm development and production ready machine learning systems to help you get business value from your data.
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What we build
Thanks to Backtick, we were able to incorporate AI into our product with ease. Their flexibility in adapting to our startup’s time and budget constraints, combined with their expertise in AI and ability to integrate their solution into our existing infrastructure, made for a smooth and valuable experience.
Jennie Orton
CEO, bintel
Data powers more than just AI & ML. Data analysis helps leaders and operatives make informed, data driven decisions. From exploratory data analysis to real time dashboards, we can help your data transmit clarity through state of the art charting libraries, APIs and services.
AI & ML Cases
Real work in action
Explore some of the AI & ML projects we've built with our customers.
ML & Algorithms
Predictive waste management
Disrupting the world of waste management, we helped bintel introduce Sweden to on-demand waste collections by predicting fill levels of all connected containers.
Deep Learning
Trip segmentation for multimodal travel flows
Ever wondered how city transportation is planned? See how we helped Trivector improve their transportation data with clever use of data science.
Machine Learning
Pump efficiency and water flow predictions
Preventing leaks, monitoring flows, preparing for the unforeseeable. We evaluated the potential for machine learning in the water industry.
Data science
Team
Our data science teams typically have a master's degree in statistics, machine learning, applied AI, computer science or related fields. They excel in data analysis, statistical modelling, deep learning, forecasts, anomaly detection, categorization, pattern detection and graph algorithms.
AI & ML Blog
Our insights on working with AI and ML
Machine Learning
Detecting snow and cloud patches in satellite images
07 Dec 2020
In this blogpost, we will look at how we solved the problem of detecting snow and clouds in real world satellite images using deep learning.
Fredrik Olsson
Data Scientist
Machine Learning
NLP: Gaining insights from text reviews
03 Mar 2020
An overview of different techniques for aggregated analysis of text data using Natural Language Processing.
Fredrik Olsson
Data Scientist
Machine Learning
Göteborgsvarvet Part 3 - Finish time prediction
24 Feb 2020
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.
Oskar Handmark
Founder & Venture lead
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