An advanced AI-based tool used for uploading, storing, and retrieving organizational visuals  from the cloud on a massive scale. Including: building and training models for image and video tagging, automatic upload and tagging of existing images from the local file system to the cloud, back-up and security of all recorded material, and offering modern access to recorded materials (including mobile access) for multiple target audiences based on permissions. It also offers advanced image search by topic, including spell-check support and multilingual capabilities, and the ability to upload files without size limitations.

Extracts data from organizational documents, and transforms it into a cloud-consumable product. This tool also serves as a wrapper for Google Cloud Document AI tools, enabling various applications such as training models for document recognition, using these models for data extraction, and routing the extracted data to an external system.

An effective and convenient means of collecting and storing data, including maps, alerts, sensor findings deployed in the field, and more. This tool includes collecting sensor data to the cloud (GPS, temperature, noise, oxygen levels) and operational data from organizational information systems. It facilitates building a Data Warehouse (DW) with all dimensions and metrics, streaming data to the DW using ETL tools for the aggregation stage, and creating a semantic layer. Additionally, it supports developing BI reports and training and building models for trend detection, anomaly detection, and prediction.

Converting recordings to Hebrew text for textual search purposes. Including: Transcribing recorded conversations (e.g., based on Bynet’s Contact Center), storing and indexing the data extracted from the recordings for textual search, routing the extracted data to an external system, semantic analysis (on both the transcription and the audio) to predict customer churn or extract business information using various models. This encompasses audio analysis (breaking down the voiceprint to separate speakers in the recording into segments), speaker attribution (uniting the segments by speakers using common voiceprint characteristics), and language support (converting audio to text supporting dozens of languages).

Setting up a cloud environment for clients including: Building the environment (Landing Zone) by defining the organization and users, creating a billing account, planning the architecture and network topology, implementing security tools, building a Data Lake layer, establishing environments, CI/CD, and automation development, and writing Terraform scripts for automated environment setup. Additionally, it includes setting up resources and runtime environments for large organizations, engineers, researchers, data scientists, and likewise, with access to hardware and resources for model training.

Training image-based models for real-time recognition. Including: Collecting camera data from the field (production lines, supermarkets, electric gates, robots), training models to recognize people and objects using Google’s AI tools, providing an API wrapper for the models to integrate with organizational systems, making the model accessible in the cloud, and training the client for continued model training directly with Google Cloud (Vertex AI).

A unique solution under the platform’s umbrella which includes integration with the engine (API), an interactive platform for running geographical and spatial algorithms, access to the GEE (Google Earth Engine) data repository (satellite imagery), and more.

Building models and implementing advanced applications of generative AI technologies to extract insights from organizational data through free-form language queries (NLP), including in Hebrew.

Kaleidoo, from Bynet, proudly presents a rare combination of advanced technologies and services. From  NLP and image processing through data warehousing and data lakes, and up to anomaly detection and prediction.

Our extensive range of capabilities allows you to benefit from a complete service without having to spread the process across multiple companies. Within these solutions, we offer customization tailored to your organization’s requirements and needs.

Few companies in the market have as many partners as we do, and these include the industry’s leading vendors. This demands substantial investment and ongoing efforts in obtaining certifications and conducting extensive training.

Few companies in the market have such a wide range of data scientists, data engineers, and more. Whatever your needs, we can supply you with the top and most seasoned experts in their field.

We work with organizations and companies across a wide range of verticals – finance, security, healthcare, startups, enterprise, government, and more. In all these areas, we have accumulated knowledge and expertise, made available to serve your needs.

Kaleidoo, from Bynet, is not just a cloud company – we offer a complete range of on-premise solutions with the ability to integrate any hybrid model you require.