Helping companies through the Machine Learning journey
Discovering opportunities, prototyping, building scalable production systems, and improving models' performance
Our clients
Data driven solutions for business challenges
Machine Learning powered systems that provide efficiencies and scalability.
How we helped our clients
Applying Predictive Maintenance with Machine Learning approach, we developed a solution to detect potentially hazardous scenarios for an oil well company.
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Medium Earth Orbit satellite monitoring solution for the gateways and their customers' terminals by predicting weather-related outages in minutes.
Read moreTestimonials
The Office of Innovation at UNICEF collaborated with Tryolabs to explore potential biases in AI algorithms to better serve UNICEF's project GIGA to providing high-speed internet to every school in the world. Deep learning algorithms are used to map objects from satellite imagery such as buildings, like schools; however, the biases and inequalities in such AI algorithms have been less explored so far. Researchers at Tryolabs worked with UNICEF to develop innovative ways to address AI issues in mapping schools. Throughout the process, Tryolabs' team showed the very example of professionalism. They enjoyed addressing such difficult topics and always came up with innovative ideas to progress in the project. I am very happy to have worked with the team and wish to have more chances to collaborate with them in AI matters.
Our AllianzGI Risk Management team partnered with Tryolabs to leverage automation in supporting critical risk monitoring tasks. With their assistance, we have enhanced our risk management monitoring processes with NLP techniques to better identify material risks. This allows our risk managers to focus on managing material risks within a shorter reaction time, which is very important for us. With a strong attitude towards customer satisfaction, Tryolabs was committed to working closely with us in providing valuable insights and advice to bridge the gap between business, process and technology, so as to achieve our goal.
Tryolabs stepped in during a time of rapid growth at LevelUp and helped us simplify digital ordering for restaurant brands. Each restaurant brand is different - their highest order volumes come in at different dayparts, and they each have custom menus and ordering processes - and Tryolabs built a system that was reliable at scale, despite the diverse use cases. We are proud to have counted their team of talented engineers as one of our partners.
Tryolabs' team was not only able to rapidly adapt to our own set of processes and culture, but to quickly grasp telecommunications concepts previously unknown to them. They were responsible for the software layer of an important part of our solution, implementing agile methodologies, great technical skills, daily communication and even on-site visits to our offices.
I have worked and interacted with the best in the field from leading companies, and Tryolabs has nothing to envy them. We needed a very fast and high quality implementation of a novel idea. We approached Tryolabs, and while they had the background for parts but not all what we needed, they accepted the challenge. A short month later, they demoed to us the product at the highest possible level. Not only their technical skills are top-of-the-top, but their professional and collaborative approach to problem solving is at the level of the best or above it. Such combination of technical skills and human value is hard to match.
Tryolabs made implementing AI so simple. Our updated software has become so much faster and easier to use. Our operators have increased throughput by 27% so far. Thank you so much for your help!
Tryolabs was a great partner in developing the new algorithms for this uniquely challenging problem set. The end result of this work has been a targeted solution that can run in a resource constrained environment. This work shows the flexibility and an openness of Tryolabs to out of the box thinking essential to developing not just a powerful algorithm but one that can work on all levels of the conservationist work practice. It has been a great working experience and our team looks forward to working with Tryolabs in the future on this unique conservation challenge.
We relied on Tryolabs exclusively to build out our web stack, mobile device APIs, and a complex, data analysis oriented backend for wireless sensor networks, all of which were completed with high quality, along expected timelines, and with clear visibility into ongoing status.
Expertise
Computer vision
We use deep learning and other state-of-the-art techniques to gain valuable insights from images and videos.
- Object detection and tracking
- Search of visually similar images
- Person pose and gaze estimation
Natural language processing
Based on text inputs we use machine learning models to understand content and unstructured information.
- Sentiment analysis
- Entity recognition
- Chatbots
Forecasting models
We leverage time series analysis and anomaly detection to accurately predict future events.
- Pricing automation and optimization
- Customer profiling and segmentation
- Recommender systems
Articles & community
See our latest research and publications on industry related Machine Learning.
Swift: Google's bet on differentiable programming
Google's plans on making Swift the first mainstream language with first-class language-integrated differentiable programming capabilities. What's so cool about Swift?
Joaquín Alori
How Machine Learning is reshaping Price Optimization
An introduction to Price Optimization, its opportunities with Machine Learning, and how retailers can use automated pricing solutions to increase revenue.
Javier Couto
Face mask detection in street camera video streams using AI: behind the curtain
End-to-end analysis of the creative process behind a system to detect face masks from street camera video streams using Computer Vision
Braulio RíosGet in touch
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