Weaviate is a cloud-native, real-time vector search engine (aka neural search engine or deep search engine). There are modules for specific use cases such as semantic search, plugins to integrate Weaviate in any application of your choice, and a console to visualize your data. Weaviate is used as a semantic search engine, similar image search engine our automatic classification engine based on the built-in machine learning models. Applications range from product search to CRM classifications.
Manhattan Active Inventory allows you to finally achieve a single, holistic view of all aspects of your inventory strategy. From annual financial planning to daily replenishment reordering to periodic enterprise alignment of the plan, Manhattan Active Inventory provides the tools you need to ensure your inventory investment strategies are generating the maximum value and returns, to Push PossibleTM for your enterprise.
Neuton, an AutoML platform, allows experienced users and those without any experience in Machine Learning to build compact AI models with just a few clicks and without any coding. Neuton is based on a proprietary neural network framework invented and patented by our team of scientists that is far more effective than any other framework, non-neural algorithm on the market. Its resulting models are self-growing, much more compact, fast and require fewer training samples in comparison to those of o
Azure SQL Database is a fully managed, intelligent relational database service built on the Microsoft SQL Server engine, designed to support modern cloud applications. It offers scalability, high availability, and robust security features, enabling developers to build and maintain applications without the complexities of infrastructure management. Key Features and Functionality: - Hyperscale Storage: Rapidly scale storage resources to meet demand, supporting large databases with up to 100 TB c
Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first.
DATOMS platform brings real-time connectivity to machines simplifying management of distributed operations.
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. Amazon Comprehend identifies the language of the text; extracts key phrases, places, people, brands, or events; understands how positive or negative the text is; and automatically organizes a collection of text files by topic.
GoKhana is a full-stack B 2 B food and beverages technology company that manages End to End food programs for corporates GoKhana provides a platform for employees to choose and order food digitally both in your cafeterias and delivered to employee's homes. GoKhana has a host of industry-leading features such as Contactless Vending Machine’s, Slotted Deliveries, Employee Complaints Management, Cafeteria Capacity Management, Home Meals Delivery, etc
Wonderway is a sales performance platform proven to increase the revenue per rep with the right sales training. Wonderway use machine learning to match training to the skills that Reps need to improve so that they ramp sooner and close more deals faster. Problems we are solving: 1. Reduce ramp time through better onboarding 2. Increase quota attainment through upskilling 3. Drive alignment through certifications Product Strength and Differentiators 1. We reduce time investment in tr
• Actionable Customer Intelligence: Bring together your known and unknown first-party customer data for maximum benefit. Tap into built-in analytics to inform personalization, fuel audience growth markets, and inspire smarter planning. • Data Informed Audiences: Use flexible audience building to enrich and scale your first-party data. Access machine learning modeling, lookalike tools, and a trusted, global data marketplace for audience expansion, acquisition, and ROI. • Identity Powered Activati
Locus - Route Optimization to Locus Dispatcher provides optimal delivery routes leveraging bleeding edge technologies such as Machine Learning & Artificial Intelligence. The engine takes into account of on-ground factors (traffic, weather, road restrictions) & business constraints (SLAs).
Wiro was founded in 2023 for providing the growing demand for AI and machine learning technologies across various sectors. We work for smart solutions that can help accelerate the development of AI applications. Our workstations, servers, and cloud services with hyperconverged infrastructure help developers, engineers, and researchers. We produce our servers as hyperconverged Infrastructure which is a transformational approach that combines GPU power and storage.
Lansweeper discovers Windows, Linux and Mac machines in your network. In addition, it inventories network devices such as Printers, Routers and Switches.
AiTrillion is an Intelligent Marketing Cloud, built for the e-commerce world. With AiTrillion, companies can orchestrate campaigns across channels like push, email, in-app messaging, and, with auto-optimization towards higher conversions powered by machine learning. Traditionally, marketing clouds are a way too expensive to implement, hard to learn and of-course rule-based. At AiTrillion, we have built an enterprise solution that is easier to use, elegantly designed, fully integrated and is lear
Babylon puts at your disposal this automatic translator for words, texts, phrases and more.
Intel Data Analytics Acceleration Library (or Intel DAAL) is a software development library that is highly optimized for Intel architecture processors it provides building blocks for all data analytics stages, from data preparation to data mining and machine learning.
DecisionTree.jl is a Julia classifier with the implimentation of the ID3 algorithm with post pruning (pessimistic pruning), parallelized bagging (random forests), adaptive boosting (decision stumps), cross validation (n-fold) and support for mixed nominal and numerical data.
Milk is a machine learning toolkit in Python that focuses on supervised classification with several classifiers available: SVMs (based on libsvm), k-NN, random forests, decision trees. It also performs feature selection. These classifiers can be combined in many ways to form different classification systems.