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Scale AI
Artificial intelligence as the next step to further increase knowledge
Babel implements solutions based on artificial intelligence, machine learning and deep learning to take our clients to higher levels of knowledge.
Predicting, proposing, prescribing and, ultimately, anticipating any aspect of your business are the keys to the success of scale AI.
How we can help you
Our team of data scientists is led by two professionals with PhDs in artificial intelligence, with over 10 years of experience in this field. Our value proposition is to find the applicability of the theoretical and scientific approaches in use cases tailored to each of our clients.
We model an AI solution working with our clients’ own data, obtaining a tailor-made solution that gives us the best results, adapting the technology to the specific need and to the degree of maturity of our clients in this field, thus offering capabilities in the following types of projects or services.
- Advanced analytics: Advanced statistical exploitation.
- Machine learning: Implementing supervised and unsupervised learning models.
- Deep learning: Models aimed at high accuracy and computational complexity.
We establish a governed, maintainable cycle to deliver our models so that they work independently and can be managed by our clients by implementing best practice MLOps.
Expertise
Extensive expertise in bringing the theoretical and scientific state of the art to the specific field of our clients.
Use cases
We base projects on use cases with an interesting ROI for our clients.
Personalisation
Customised AI models for our clients.
Project life cycle
Maintainability and governance of the AI project lifecycle applying MLOps.
Advantages Expertise Personalisation
Services
Fraud
Fraud detection capabilities through machine learning. We work with machine learning to uncover patterns that point to indications of fraudulent transactions or processes.
We base our models on the scientific method and our clients' own data.
Computer vision
Object detection and tracking. We develop our own models for image classification and detection of objects, people, animals, etc.
Optimisation
Capacity to solve optimisation problems with constraints using metaheuristics (genetic algorithms, evolutionary algorithms, ant colonies, simulated annealing, etc.).
Client knowledge
We understand the situation of our clients in order to direct activities. We use models to maximise loyalty and usage, implementing leakage prevention, recommendations, customer clusters, risk analysis, fraud, and real customer value.
Event prediction
We use machine learning to detect patterns in time series, enabling predictions, scenarios, recommendations and prescriptive actions.
DevOps, ML Ops, DATA Ops
We develop maintainable and sustainable AI models, ensuring they are reliable, scalable and upgradeable, enabling efficient and repeatable value from ML initiatives.
What makes us strong
We always base our models on solutions based on our clients' own data.
Our project approach involves working with our clients' own data, which is especially important in AI projects. We develop tailor-made models for our clients that fit both their specific processes and their data for maximum efficiency.
Our AI team is led by two professionals with PhDs in artificial intelligence, in permanent contact with the scientific community.
Ability to implement solutions quickly and efficiently, adapting to market changes and demands.
Babel is committed to the constant acquisition of new talent.
The inclusion of professionals with little experience in Babel involves a training process guided by our most experienced colleagues.
From the very beginning, we focus the process on a practical vision of the actual job that a data scientist will do in the labour environment.
Therefore, our new colleagues adapt to our way of working right from the start, and prepare themselves for their duties much more quickly.
Opportunities
MLOps approach
The next step in the development of artificial intelligence models is for these models to have a controlled lifecycle in the organisations they serve. Babel uses Dev Ops,Data Ops and ML Ops practices to ensure that the implemented models are properly controlled and governed by our clients.
Contact with the scientific community
In such a new subject as artificial intelligence, it is necessary to remain in close contact with the academic, scientific and research world. Seeing the latest trends, for novel applications of models or algorithms, helps us provide the best solutions for our clients.
Babel’s ability to understand these developments technically is no less important than the ability to direct this knowledge at real-world use cases, solving specific needs in the field of our clients.
Why Babel?
+10 years
of experience in AI projects.
+ 60 data scientists
(2 with PhDs in AI).
+ 40 clients
that scale their knowledge via AI.
Clients who trust us
Partners with whom we work
