Search results for Mochi

Ideagen Mail Manager is Outlook email filing software for project and client teams. Machine learning suggests where to file, and one click saves emails to SharePoint, Teams and other locations so any message is searchable in seconds.

At InvestNext, we set out on a mission to transform real estate investment management and investor relations. The company is based in Detroit, Michigan, and was founded in 2016. After identifying a trend among real estate investment firms – we realized the industry as a whole, spends a large amount of time on activities that made fundraising, investment management, and investor relations tedious and inefficient. Compelled to solve this problem, we set out on a mission to build a software platform that would enable real estate investment firms to operate more effectively and provide greater transparency to their investors. Instrumental to this effort, has been close partnerships with real estate private equity groups and REITs around the globe. As of today, we’re trusted by tens of thousands of investors with billions of dollars managed on the platform.

IBM Watsonx.ai is an advanced AI and machine learning platform designed to accelerate enterprise AI adoption, offering a comprehensive suite of tools for businesses to build, deploy, and scale AI applications. The product is part of IBM's broader Watsonx ecosystem, which aims to democratize AI by providing accessible, powerful solutions tailored for organizations of all sizes and industries.

MATLAB is a high-level programming and numeric computing environment widely utilized by engineers and scientists for data analysis, algorithm development, and system modeling. It offers a desktop environment optimized for iterative analysis and design processes, coupled with a programming language that directly expresses matrix and array mathematics. The Live Editor feature enables users to create scripts that integrate code, output, and formatted text within an executable notebook. Key Features and Functionality: - Data Analysis: Tools for exploring, modeling, and analyzing data. - Graphics: Functions for visualizing and exploring data through various plots and charts. - Programming: Capabilities to create scripts, functions, and classes for customized workflows. - App Building: Facilities to develop desktop and web applications. - External Language Interfaces: Integration with languages such as Python, C/C++, Fortran, and Java. - Hardware Connectivity: Support for connecting MATLAB to various hardware platforms. - Parallel Computing: Ability to perform large-scale computations and parallelize simulations using multicore desktops, GPUs, clusters, and cloud resources. - Deployment: Options to share MATLAB programs and deploy them to enterprise applications, embedded devices, and cloud environments. Primary Value and User Solutions: MATLAB streamlines complex mathematical computations and data analysis tasks, enabling users to develop algorithms and models efficiently. Its comprehensive toolboxes and interactive apps facilitate rapid prototyping and iterative design, reducing development time. The platform's scalability allows for seamless transition from research to production, supporting deployment on various systems without extensive code modifications. By integrating with multiple programming languages and hardware platforms, MATLAB provides a versatile environment that addresses the diverse needs of engineers and scientists across industries.

INKY Email Security Platform is the first email protection software to detect phishing attacks using computer vision, artificial intelligence and machine learning.

AWS IoT is a comprehensive suite of services designed to connect, manage, and analyze data from billions of devices, ranging from simple sensors to complex industrial machinery. It enables secure, bi-directional communication between internet-connected devices and the AWS cloud, facilitating the development of intelligent applications that respond to real-world events. Key Features and Functionality: - Device Connectivity: AWS IoT Core supports multiple communication protocols, including MQTT, HTTPS, MQTT over WebSockets, and LoRaWAN, allowing devices to connect securely and reliably without the need to manage servers. - Device Management: AWS IoT Device Management simplifies the registration, organization, monitoring, and remote management of IoT devices at scale, including over-the-air (OTA) updates. - Security: AWS IoT Device Defender provides tools to identify and respond to security issues, auditing device fleets to ensure adherence to security best practices and continuously monitoring for abnormal behavior. - Data Processing and Analytics: AWS IoT Analytics automates the collection, processing, and analysis of IoT data, enabling real-time insights and integration with machine learning models. - Edge Computing: AWS IoT Greengrass extends AWS capabilities to edge devices, allowing local data processing, messaging, and machine learning inference, reducing latency and conserving bandwidth. Primary Value and Solutions: AWS IoT addresses the challenges of connecting and managing vast networks of devices by providing a scalable, secure, and fully managed platform. It enables organizations to collect and analyze data from diverse devices, leading to improved operational efficiency, enhanced security, and the development of innovative, data-driven applications. By integrating with other AWS services, AWS IoT facilitates seamless data flow and processing, empowering businesses to make informed decisions and respond swiftly to changing conditions.

Milvus TI is a comprehensive omnichannel platform designed to streamline customer service and IT management. It integrates various communication channels, including WhatsApp, Telegram, and website chat, into a single interface, enabling efficient and organized customer interactions. The platform offers features such as intelligent ticket management, remote access, vulnerability management, and machine monitoring, catering to diverse business needs. With Milvus TI, companies can automate processes, optimize team management, and enhance overall operational efficiency. Key Features and Functionality: - Omnichannel Communication: Centralizes multiple customer service channels like WhatsApp, Telegram, and website chat into one platform, ensuring seamless communication. - Intelligent Ticket Management: Provides tools for creating, editing, and tracking tickets, facilitating efficient issue resolution. - IT Management Tools: Includes remote access capabilities, vulnerability management, and machine monitoring to maintain IT infrastructure health. - Automation and Workflow: Automates routine tasks and workflows, reducing manual effort and increasing productivity. - Real-Time Analytics: Offers dashboards and reports for monitoring team performance and customer interactions, aiding in data-driven decision-making. Primary Value and Solutions Provided: Milvus TI addresses common challenges in customer service and IT management by centralizing communication channels, automating processes, and providing comprehensive management tools. This integration leads to faster response times, improved team coordination, and enhanced customer satisfaction. By offering a scalable solution that adapts to business growth, Milvus TI ensures that companies can efficiently manage their customer interactions and IT operations, ultimately driving better business outcomes.

Nanonets is a platform designed to help build Machine Learning models.

Amazon Forecast is a fully managed service that uses machine learning to deliver highly accurate forecasts.

Product Description: Palo Alto Networks' Cortex XSIAM is an AI-driven security operations platform designed to transform traditional Security Operations Centers by integrating and automating key functions such as data centralization, threat detection, and incident response. By leveraging machine learning and automation, it enables organizations to detect and respond to threats more efficiently, reducing manual workloads and improving overall security posture. Key Features and Functionality: - Data Centralization: Aggregates data from various sources into a unified platform, providing comprehensive visibility across the enterprise. - AI-Powered Threat Detection: Utilizes machine learning algorithms to identify anomalies and potential threats in real-time. - Automated Incident Response: Streamlines response processes through automation, enabling rapid mitigation of security incidents. - Integrated SOC Capabilities: Combines functions such as Extended Detection and Response , Security Orchestration, Automation, and Response , Attack Surface Management , and Security Information and Event Management into a cohesive platform, eliminating the need for multiple disparate tools. - Scalability: Designed to handle large volumes of data and adapt to the evolving needs of modern enterprises. Primary Value and Problem Solved: Cortex XSIAM addresses the challenges of disjointed data, weak threat defense, and heavy reliance on manual work in traditional SOCs. By centralizing data and automating security operations, it simplifies processes, enhances threat detection accuracy, and accelerates incident response times. This transformation enables organizations to proactively outpace threats, reduce operational costs, and achieve a more robust security posture.

Selling.com is a B2B Intent-based contact intelligence platform rooted in machine learning & AI. We power marketing and sales pipelines with multi-source intent signals, accurate mobile phone details, real-time verified contacts, AI-powered Look-Alike modelling, unmatched firmographic & technographic insights on 35 million decision-makers. Infotelligent helps businesses find accounts that have a higher propensity to buy, and increase sales bookings with accurate contact information and lightning fast data workflows.

Scikit-learn is a software machine learning library for the Python programming language that has a various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.

Google Cloud Vision API enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API. Leveraging our API, developers can quickly build applications able to classify images into thousands of categories (e.g., "sailboat", "lion", "Eiffel Tower"), detect individual objects and faces within images, build metadata on image catalog, moderate offensive content, enable new marketing scenarios through image sentiment analysis, and more.

Sniper AI is an Artificial Intelligence and machine learning based sourcing and screening solution for recruitment processes. It is proven to cut down your recruitment time and sourcing cost drastically. SniperAI integrates with your existing SAP SuccessFactors deployment to enhance its usability.

Singularity Cloud Workload Security is runtime security and your workloads' flight data recorder. It works alongside other security layers to stop what they do not: runtime threats, like ransomware and zero-days. Whether on-prem or public cloud, in VMs, containers, or Kubernetes, SentinelOne stops machine-speed evil in real-time, to help keep your cloud business operating swiftly and securely.

PackageX Workflows is a smart package management solution that leverages computer vision and machine learning to automate the last-yard delivery of mail and packages in corporate mailrooms, office buildings, residential communities, and universities. PackageX Scan & Track is intelligent, adaptive, secure, and doesn't require specialized equipment. The scalable and easy-to-use SaaS solution automates mundane package handling tasks to ensure that deliveries are never lost, delayed, or stolen

Nightfal AI uses machine learning to identify business-critical data, like customer PII, across your SaaS, APIs, and data infrastructure, so you can manage & protect it.

SAS Risk Management is a comprehensive solution designed to help financial institutions and enterprises effectively identify, assess, and manage various types of risks, including credit, market, and operational risks. By leveraging advanced analytics and machine learning, it enables organizations to anticipate potential risks, conduct dynamic stress testing, and ensure regulatory compliance, thereby enhancing decision-making processes and overall risk mitigation strategies. Key Features and Functionality: - Advanced Predictive Analytics: Utilizes sophisticated algorithms and machine learning models to forecast potential risks, allowing for proactive risk management. - Comprehensive Risk Assessment: Offers tools to evaluate multiple risk factors across different levels, integrating both internal and external data sources for precise assessments. - Dynamic Stress Testing: Simulates various stress scenarios to test financial systems against extreme market conditions, aiding in strategic planning and preparedness. - Integrated Reporting and Compliance: Automates reporting processes, maintains comprehensive audit trails, and ensures adherence to current regulatory standards. Primary Value and Problem Solved: SAS Risk Management addresses the critical need for organizations to manage financial risks effectively. By providing a unified platform that combines predictive analytics, risk assessment, stress testing, and compliance reporting, it empowers businesses to make informed decisions, reduce potential losses, and maintain regulatory compliance. This holistic approach not only enhances operational efficiency but also strengthens the organization's ability to navigate complex and evolving risk landscapes.

Windows Server is a comprehensive operating system designed to meet the needs of businesses by providing a robust platform for managing applications, networks, and web services. It seamlessly integrates on-premises environments with Azure, enhancing security and facilitating the modernization of applications and infrastructure. Key Features and Functionality: - Multilayered Security: Windows Server offers advanced identity protection through Active Directory, virtualization-based security with Hyper-V, and secure networking features like TLS 1.3 encryption and SMB over QUIC. - Hybrid Cloud Integration: With Azure Arc, Windows Server enables seamless management across on-premises and cloud environments, providing deployment flexibility and unified management. - Scalability and Performance: The system supports large-scale virtualization with Hyper-V, accommodating up to 240 TB of RAM and 2,048 virtual processors per virtual machine, making it suitable for demanding workloads. - Container Support: Windows Server facilitates the development, deployment, and management of containers, allowing for efficient application modernization using containers and microservices. Primary Value and Solutions: Windows Server addresses critical business needs by offering a secure, scalable, and flexible infrastructure. It enhances productivity through hybrid operations, allowing applications running on-premises to leverage cloud innovations such as Artificial Intelligence and IoT. The system's advanced security features protect data and applications from evolving threats, while its scalability supports the growth and performance demands of modern businesses. By integrating with Azure, Windows Server enables organizations to bridge their on-premises environments with cloud services, facilitating a smooth transition to hybrid cloud solutions.

In addition to our open-source data science software, RStudio produces RStudio Team, a unique, modular platform of enterprise-ready professional software products that enable teams to adopt R, Python, and other open-source data science software at scale.