A few things we’re great at

Computer Vision Services

Natural Language Processing Services

Our Services

Thanks to great harmony between hardware capacity and opensource software, Machine Learning (ML) and especially Deep Learning (DL) is in its golden time. Companies compete on leveraging ML capabilities to make their products more accurate or offer new products that could not exist without ML. The essential components of an ML project are:

I. Data which needs tooling
II. Set of approaches and technologies which needs researchers who design the roadmap,
III. and great team of ML-developers to realize the idea

Best case would be undoubtedly to have all the above teams in your company. However, ML-technologies are expensive and building a Full-stack ML team is not always the best strategy for managers.

Here is where we at AI-Bridge define our role as a consulting agency. We build a bridge between your technical requirements and the world of Artificial Intelligence (AI). From the above-said components for ML projects, the data part (I.) is normally available in the field and could be acquired with some tooling. In the case of data confidentiality, we only need a very small subset of data to design models and perform all trainings on your authorized servers.

The second component (II.) is normally partly available inside the company. That is the company’s field-specific know-how for solving technical problems. On the other side of, let’s assume, the bridge there are ML technologies and solutions. An undeniably important component for building this bridge is how these field-specific problems could be translated to ML-problems and what set of technologies is the optimal set for problem-solving. We make this possible with our great access to researchers in the community of ML.

Finally, to process data at scale and make added-value for your company, it’s essential to have ML-developers with hands-on experience on delivering standard industrial code (based on iso 9126). AI-Bridge generates its problem-solving power by a great set of researchers and developers.

Here’s how we do it


Strategy Workshop

First, we need to understand your problem better. We organize a 3-days onsite workshop at your office to find the low-hanging fruit projects that would provide the highest Rol in the shortest time.

Data Collection & Exploration

Machine Learning needs data. if you have data needed to train the models, we will perform an exploratory analysis phase to find patterns and correlations. if you don't, we will collect the data for you using online sources(if possible).

Model Development

We run thousands of experiments in parallel to develop a machine learning model. A model is the core of a machine learning system-trained on historical data it can predict the future trends or understand the semantics of a text.

Full-stack application development

We integrate the model with a REST APO or a front-end application, developing all necessary features to access the model in an user-friendly way. Scalable and with the state-of-the-art security.

List of Services

  • NLP, Sentiment analysis
  • Face Detection
  • Car Plate Detection Recognition
  • Motion2Motion (GAN based) generation
  • Body Pose detection and estimation
  • Medical Image Processing
  • Chatbots
  • Series analysis
  • Predictive Analytics
  • Clustering and Segmentation
  • Classification and Labeling
  • NLP
  • Dynamic Pricing
  • Customer Segmentation
  • Anomaly Detection
  • Assets Planning
  • Fraud Detection
  • Deep neural Model analysis and improvement
  • Deep Learning on Cloud: Amazon Web Services & Google Cloud Platform
  • Consultant on Algorithm design and model architecture
  • Big data end to end strategy
  • Hadoop, Spark, Kafka and other big data technologies
  • Traditional machine learning and deep learning
  • AWS, Azure, and Google cloud
  • Tensorflow, Scikit-learn, Keras, Caffe, MLlib, and other machine learning frameworks