Products

Analysis, segmentation and real time image and video streams recognition using Surfy AI.

Surfy.Vision is a self-learning neural network for analysis and classification of images and video materials.

Trained on hundreds of thousands of images obtained from open sources on the Internet, followed by manual moderation and annotation.

We are currently in the active development phase of our new project, Qrious, and we're making some of it publicly available to allow other great companies and independent engineers to create their own exciting projects using our facilities for free.

Analysis of textual information, language translations, summarising, highlighting the main meaning, identifying the mood.

The kit includes access via the free Rest API and various libraries and software modules.

We are absolutely convinced that people are the most important thing. So we have developed assessment tools that allow us to fine-tune the team interaction. We have published the basic tools. Well, we can also reshape any of our algorithms into a custom solution.

This is our top product, incorporating a stable and blazingly fast vector database and a host of generative algorithms based on natural language processing.

We have wrapped all of Surfy's modules ecosystem in an elegant, energy-efficient and incredibly fast Artificial Intelligence, allowing us to grow our knowledge base rapidly, which is available to everyone without any limitations.

Processing speech and audio streams is one of the most important areas of machine learning. Speech recognition opens up limitless possibilities for fast and efficient handling of information, from analytics to connecting external sources to generate answers to questions.

We develop intelligent automation solutions based on the Surfy ecosystem. Ready-to-use products for automation and control of the smart city environment.

Computer vision systems, predictive AI analytics, in-house geo-services and hardware solutions create unique products with enormous economic potential, ready to be deployed in organisations and improving life in a modern smart city.