Recursion vs. SILCS Comparison Chart

NetBrain, founded in 2004, provides a powerful no-code automation platform for hybrid network observability, allowing organizations to enhance their operational efficiency through automated workflows. The platform applies automation across three key workflows: troubleshooting, change management, and assessment. Get network-wide and contextualized analysis across your multi-vendor, multi-cloud network Visualize and document the entire hybrid network using dynamic network maps and end-to-end paths Automate network discovery and ensure data accuracy for a single source of truth Auto-discover and decode your network's golden configurations, discover day 1 issues, and automate configuration drift prevention Automate pre- and post-validations for network changes with application performance context understanding Automate collaborative troubleshooting from human to machine For every network troubleshooting idea, create a map, apply automation from your own library

Virtuous is much more than a CRM - it is the only responsive fundraising platform designed to help nonprofit teams build better donor relationships and grow generosity. The world of fundraising has changed. Virtuous is your growth partner for the new normal ⏤ unifying fundraising, marketing, and donor development activities, ridding teams of redundant back-office tasks, and surfacing the insights and signals needed to deliver dynamic donor experiences at scale. Giving is deeply personal. We believe fundraising should be too. Virtuous is everything you’d expect from a robust CRM, plus data insights to help you build deeper donor relationships: email marketing, mail segmentation, campaign tools, and more, designed to increase engagement. Data-driven donor insights powered by wealth, social media, engagement, location, and other data to help you listen to constituents at scale. See how Virtuous can unify and empower your teams to exceed your goals.

Enjoy lucrative returns while limiting your exposure to market volatility. Leverage our due diligence processes and strategic relationships with your investment capital. Gain access to institutional quality opportunities in a variety of asset classes. Invest in pre-vetted private equity transactions. Receive passive cash flow directly to your bank account. Track your investments through our industry-leading investor portal. We are not another crowdfunding platform. We are a technology-enabled real estate investment firm. Our compensation is highly weighted towards the performance of our assets, and we invest in each offering.

Open LMS leverages open-source software to deliver an effective and engaging learning experience. As the largest commercial provider of hosting and support services for the open-source Moodle™ learning platform, we help global organizations and institutions deliver great learning experiences without complexities. One of the ways Open LMS supports learning is via our commitment to open-source learning technology. The ability to deliver educational materials on a customized, branded platform is highly appealing to companies looking to teach or train students, employees, volunteers, or customers. This opens up a flexible opportunity for your organization to adapt your open-source LMS without vendor and commitment pressure. Previously a Blackboard product, Open LMS was acquired by Learning Technologies Group plc (LTG) in March 2020.

Google Cloud’s Speech API processes more than 1 billion voice minutes per month with close to human levels of understanding for many commonly spoken languages. Powered by the best of Google's AI research and technology, Google Cloud's Speech-to-Text API helps you accurately transcribe speech into text in 73 languages and 137 different local variants. Leverage Google’s most advanced deep learning neural network algorithms for automatic speech recognition (ASR) and deploy ASR wherever you need it, whether in the cloud with the API, on-premises with Speech-to-Text On-Prem, or locally on any device with Speech On-Device.

Qloo is the “Cultural AI”, decoding and predicting consumer taste across the globe. A privacy-first API that predicts global consumer preferences and catalogs hundreds of millions of cultural entities. Through our API, we provide contextualized personalization and insights based on a deep understanding of consumer behavior and more than 575 million people, places, and things. Our technology empowers you to look beyond trends and uncover the connections behind people’s tastes in the world around them. Look up entities in our vast library spanning categories like brands, music, film, fashion, travel destinations, and notable people. Results are delivered within milliseconds and can be weighted by factors such as regionalization and real-time popularity. Used by companies who want to incorporate best-in-class data in their consumer experiences. Our flagship recommendation API delivers results based on demographics, preferences, cultural entities, metadata, and geolocational factors.

eLabNext is dedicated to transforming laboratories worldwide with innovative digital solutions. We offer a comprehensive Digital Lab Platform (DLP), which integrates the Electronic Lab Notebook (ELN), Laboratory Information Management Systems (LIMS), machine learning, and AI. Our platform is designed to seamlessly integrate with your lab’s equipment and software, offering flexibility, security, and exceptional efficiency. By centralizing and optimizing all your research and process development workflows in a compliant environment, we empower researchers to focus on making ground-breaking discoveries. Our team of lab digitalization specialists is here to support you throughout your digitalization journey. 
 eLabNext is a brand of Bio-ITech BV, part of Eppendorf Group. 

kama DEI truly understands the context and human impact of your situation or inquiry the way people do. Our Natural Language Understanding technology, combined with our proprietary knowledge base, mirrors the way humans understand and infer the more complex meanings behind the literal typed or spoken words. Our knowledge base is easily configured in natural language, and guided by human values, that we all understand. Conversation journeys deliver prioritized product and service information, directly the way your subject matter experts, product marketers, support technicians, or service practitioners wish to convey it. No data scientists or programmers are required. Our Virtual Agents can support your organization over website chat interfaces interface, Facebook Messenger, smart speakers, or from within mobile applications. Ultimately, we get the right information, to the right people, at the right time, increasing client engagement, 24x7, and building your brand's loyalty.

(Bank CFO) “I don’t have confidence and trust in our data. We keep discovering hidden risks”. Since 70% of data initiatives fail due to unreliable data (Gartner research), are you risking your reputation by trusting the accuracy of your data that you share with your business stakeholders and partners? Data Trust Scores must be measured in Data Lakes, warehouses, and throughout the pipeline, to ensure the data is trustworthy and fit for use. It typically takes 4-6 weeks of manual effort just to set a file or table for validation. Then, the rules have to be constantly updated as the data evolves. The only scalable option is to automate data validation rules discovery and rules maintenance. DataBuck is an autonomous, self-learning, Data Observability, Quality, Trustability and Data Matching tool. It reduces effort by 90% and errors by 70%. "What took my team of 10 Engineers 2 years to do, DataBuck could complete it in less than 8 hours." (VP, Enterprise Data Office, a US bank)

Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI Workbench and run your models from there. Use Vertex Data Labeling to generate highly accurate labels for your data collection.