SmartCow | June 21, 2022
SmartCow, an AI engineering company specializing in video analytics, AIoT devices, and smart city solutions today introduced its new AIoT Device Management Platform, FleetTrackr, that offers simplified deployment and centralized management of edge AI systems through a hybrid-cloud service. Key applications include smart cities using city surveillance and traffic management with thousands of AIoT devices connected simultaneously; smart manufacturing using AI for inventory management; large-scale surveillance and security deployments; and smart retail edge deployments.
"Fleet management software will revolutionize companies' ability to digitally transform their business operations, and FleetTrackr is at the forefront of speciality AIoT device management software. "We recognize the need for responsive, flexible, and remotely-operated AI solutions as demand increases for efficient, smart technology."
Ravi Kiran, SmartCow CEO
Fleet management software is crucial for effective device management and large-scale AI deployments, whether that be for retailers building intelligent stores, or hospitals using AI to improve patient care and administrative workflow. Fleets of IoT devices need to be capable of running unattended with the ability to be reprogrammed with newer versions of device kernels or security updates. Instead of allocating unnecessary resources to reprogram these devices with new software updates, FleetTrackr comes with its own Firmware-Over-The-Air (FOTA) functionality that allows users to provision, manage, maintain, monitor, and update thousands of devices, entirely over-the-air. FleetTrackr's 24/7 remote management includes integrated security and privacy and offers a 30 percent reduction in maintenance, time, and labor costs.
"A large number of heterogeneous devices forming an IoT network should be capable of running unattended at all times and reprogramming a group of devices is a challenging task when they cannot be done remotely. FleetTrackr allows administrators to update all the devices in a desired network with new software without spending weeks planning and executing deployment plans," continued Kiran. "FleetTrackr enables users to not only identify problems with large fleets of devices, but to perform software updates as well as backup and restore firmware when a device turns out to be faulty, making the experience seamless, efficient, and secure."
The FleetTrackr Unified Dashboard
The FleetTrackr Unified Dashboard (UI) enables users and teams to remotely manage tens of thousands of IoT devices that are in the field. The UI dashboard provides solutions for device management, software management, and issue management. Users can upgrade their AI solutions, add or delete applications, update system firmware and software, streamline operations and administrative tasks, and monitor the health metrics of devices spread over vast distances from a single control panel.
Established in 2016, SmartCow is an end-to-end AI engineering company that builds hardware and software products for AI applications used by the defense industry, in smart cities and industry 4.0. Strategic partners include NVIDIA and PNY. The company is located in Malta, India and Taiwan and is expanding to Italy, France and Singapore.
Safe-T Group Ltd. | July 11, 2022
Safe-T Group Ltd., a global provider of cyber-security and privacy solutions for consumers and enterprises, today announced its entrance into the home computer market with the release of its first consumer privacy solution designed for Windows personal computers (“PCs”).
Building upon the success and best-of-breed technology of its iOS privacy solution currently helping protect thousands of mobile devices, Safe-T is expanding its offerings into the global Windows PC market. Today, with approximately 50% of worldwide data traffic originating from desktop/laptop devices1 and with over 40% of global consumers having already become victims of online identity theft2, the need for ensuring privacy when browsing from home is more critical than ever.
“Today, our privacy and personal data is increasingly at risk which is why it is important for us to provide our users with comprehensive protection for their desktop computers as well as their mobile iOS devices. We are proud to announce the release of our consumer privacy solution for Windows desktops, a strategic development that enables us to address a large global opportunity by expanding our offerings into the consumer home market,” said Shachar Daniel, Chief Executive Officer of Safe-T. “We intend to leverage the strong traction we are generating with our iOS mobile products as we further expand our portfolio into untapped market segments including other mobile and desktop platforms over the next few months.”
Utilizing advanced encryption technologies, the desktop privacy solution prevents a user’s personal data from being accessed or monitored by Internet Service Providers (“ISPs”), advertisers and third parties. By blocking the ability to track or monitor a user’s online activity and history, their personal information is protected when browsing from home or when using public Wi-Fi or other unsecured internet access points. With the consumer privacy for PCs, users can protect themselves from online attacks including identity and credit card theft.
About Safe-T Group Ltd.
Safe-T Group Ltd. (Nasdaq, TASE: SFET) is a global provider of cyber-security and privacy solutions to consumers and enterprises. The Company operates in three distinct segments, tailoring solutions according to specific needs. The segments include, enterprise cyber-security solutions, enterprise privacy solutions, and consumer cyber-security and privacy solutions.
Our cyber-security and privacy solutions for consumers provide a wide security blanket against ransomware, viruses, phishing, and other online threats, as well as a powerful, secured and encrypted connection, masking their online activity and keeping them safe from hackers. The solutions are designed for both advanced and basic users, ensuring full protection for all personal and digital information.
Our cyber-security solutions for enterprises, designed for cloud, on-premises and hybrid networks, mitigates attacks on enterprises’ business-critical services and sensitive data, while ensuring uninterrupted business continuity. Organizational data access, storage and exchange use cases, from outside the organization or within, are secured according to the “validate first, access later” philosophy of Safe-T’s zero trust. Our ZoneZero® solutions are available by our reseller, TerraZone Ltd., a global information security provider, as a solution or cloud service.
Our privacy solutions for enterprises are based on our advanced and secured proxy network, the world’s fastest, enabling our customers to collect data anonymously at any scale from any public sources over the web using a unique hybrid network. Our network is the only one of its kind that is comprised of millions of residential exit points based on our proprietary reflection technology and hundreds of servers located at our ISP partners around the world. The infrastructure is optimally designed to guarantee the privacy, quality, stability, and the speed of the service.
Lightning AI | June 18, 2022
Lightning AI today unveiled the groundbreaking Lightning AI platform, backed by a $40 million Series B funding round, that completely reimagines how Artificial Intelligence (AI) products, services, and experiences are built.
With Lightning AI’s new platform and framework, the company is introducing a frictionless way to build AI-powered products and services as apps composed of modular components that are seamlessly integrated and connected.
Serving as the “operating system for AI,” Lightning AI’s platform ushers in a new era of accessibility and sophistication in the field of AI technology. The platform and underlying framework introduce a novel way to build AI by providing a unified experience that accelerates the deployment of AI technology across academic and enterprise use cases. Amid a fragmented machine learning ecosystem, Lightning AI’s suite of extensible open-source components and apps simplifies the underserved space and helps advance the widespread adoption of AI technology.
“Launching this platform is a vital step for our company and the industry. “From day one, I wanted to reimagine the experience of building artificial intelligence beyond the current surfeit of tools and systems. Until now, there hasn’t been a way to build production-grade AI apps that takes into account the entire pipeline from development to production. Current options are limiting, highly prescriptive, and lack the flexibility needed to leverage AI in real-world scenarios. Imagine wanting to make a phone call and you’re simply handed the disparate parts that make up a working telephone, hoping that one day you’ll be able to make a phone call. Lightning AI takes the principles that have made PyTorch Lightning one of the fastest-growing open-source projects in history - simplicity, modularity, and sustainability - and applies them to the task of unifying the entire AI development and infrastructure lifecycle.”
William Falcon, Lightning AI co-founder and CEO
Lightning AI is the culmination of work that began in 2018 at the New York University CILVR Lab (Computational Intelligence, Learning, Vision, and Robotics) and Facebook AI Research. As a Ph.D. student working alongside advisers Kyunghyun Cho and Yann LeCun, William Falcon created and open-sourced the popular PyTorch Lightning framework. The explosive growth of the project within the AI community led Falcon to build a platform and company focused on eliminating barriers to widespread AI adoption.
Grounded in the success of the PyTorch Lightning framework, the company built Grid, a platform for developing and training machine learning models on the cloud. The key to the company’s previous successes has been its unique ability to abstract away engineering infrastructure from the machine learning lifecycle while maintaining rigorous flexibility for experts who want full control over what they’re building. The Lightning AI platform and framework are powered by these groundbreaking advancements, enabling users to conceptualize, build, and deploy AI technology in a matter of weeks, compared to the months and years it would normally take.
"We are excited about the development Lightning AI is leading by allowing AI-driven applications relevant to specific verticals come to life in a simple way. The partnership will bring further ease-of-use to customers and fit well with AWS’s industry, use-case and business problem driven approach,” said Dr. Kristof Schum, Global Segment Leader of Machine Learning at Amazon Web Services.
$40M Series B Fuels Lightning AI Platform and Community Growth
This $40 million Series B funding round, led by Coatue with participation from Index, Bain, First Minute Capital, and the Chainsmokers’ Mantis VC, brings the total raised to date to $58.6 million. Coatue General Partner Caryn Marooney has joined the board of directors, which also includes Index Ventures Partner Bryan Offutt. The capital will fuel further technology innovation, fund new AI research, and be invested back in the company’s growing user community and ecosystem. Lightning AI’s mission is to lower the barriers to AI adoption as the global AI market is skyrocketing and on track to exceed $500 billion by 2024.
“As more companies across every sector leverage AI for crucial functions, they need a solution that makes it simple to consume, train, and use AI while also building applications free from vendor lock-in and specialized AI experts,” said Caryn Marooney, General Partner, Coatue. “Coatue immediately saw the potential and significance of Lightning AI’s mission to democratize AI. We look forward to supporting William and his team as they write a new playbook for AI deployment.”
The Lightning-Fast Way to Build AI Apps
Lightning AI allows researchers, data scientists, and software engineers to build, share and iterate on highly scalable, production-ready AI apps using the tools and technologies of their choice, regardless of their expertise. To solve any kind of AI problem from research to deployment and production-ready pipelines, users can simply group components of their choice into a Lightning App and customize the underlying code as needed. Lightning Apps can then be republished back into the community for future use, or kept private in users’ personal libraries.
Lightning AI combines a wide variety of extant tools into a modular, intuitive platform for building AI applications in research, enterprise and personal contexts. It is the foundation of the growing Lightning ecosystem, which provides developers with a suite of ready-to-use tools and required infrastructure and compute resources, as well as community support for building AI applications.
The Lightning AI platform is available now and includes:
The new Lightning framework, which extends PyTorch Lightning’s simple, modular, and flexible design principles to the entire app development process
A collection of tools and functionalities relevant to machine learning, including workflow scheduling for distributed computing, infrastructure-as-code, and connecting web UIs
A gallery of AI apps, curated by the Lightning team, which can be used instantly or further built upon
A library of components that add functionalities to users’ apps, such as extracting data from streaming video
A hosting platform for running and maintaining private and public AI apps on the cloud
The ability to build and run Lightning Apps on private cloud infrastructure or in an on-prem enterprise environment
About Lightning AI
Lightning AI is the company reimagining the way AI is built. After creating and releasing PyTorch Lightning in 2019, William Falcon launched Lightning AI to reshape the development of artificial intelligence products for commercial and academic use. Focusing on simplicity, sustainability, modularity, and extensibility, Lightning AI streamlines the lifecycle of machine learning development to expand widespread AI adoption. Its aim is to enable individual and enterprise users to build deployment-ready AI tools without having to hire experts or sink resources into in-house infrastructure.
Cycle.io | August 04, 2022
Cycle.io, an up-and-coming low-ops application deployment platform, is thrilled to announce the support for NVIDIA’s data center-class line of GPUs. This enhancement of the platform enables developers to build GPU-accelerated applications which require a high level of computing power for scientific and engineering purposes:
One Platform With Batteries Included: Cycle provides all the necessary features development teams need to deploy, scale, and monitor everything from basic websites to complex SaaS and PaaS applications.
Multi-Cloud Container Orchestration: Enables developers to use the tools and technologies they’re already familiar with across multiple cloud providers in parallel.
Ultra-Current Infrastructure With Control: Organizations are able to maintain control and ownership of their infrastructure while the Cycle platform ensures that all servers are always current, with the latest updates being deployed on a semi-weekly basis.
Turnkey Team Collaboration: Easily add and remove developers from your team, and infrastructure, all with a few clicks. Cycle makes it easy for developers to gain observability over the individual components that make up today’s modern applications.
The launch of Cycle’s GPU support coincides with Vultr’s release of their new GPU-line of cloud servers, built upon the NVIDIA A100 GPU. Vultr, a leading independent provider of cloud infrastructure, provides both virtualized and bare-metal cloud infrastructure across 20 regions globally. Through the Cycle.io and Vultr partnership, developers can easily deploy performance-sensitive, GPU-dependent applications at a price point that makes sense for all use cases.
“Because of the additional power of a massively parallel architecture, GPUs make it possible to handle multiple tasks simultaneously, giving developers more compute power. There is a growing need for GPU parallel processing by developers of AI and Machine Learning big-data intensive solutions. With containers, this has been very difficult for the architect. But with our new partnership alongside Vultr, Cycle is making this simple to do for developers.”
Jake Warner, CEO, and Founder of Cycle.io.
“We greatly value our partnership with Cycle. Now that Vultr is offering VMs and bare metal accelerated with NVIDIA A100 Tensor Core GPUs, customers can use Cycle and Vultr together to easily run containers for deep learning, high-performance computing, and data analytics workloads,” said J.J. Kardwell, CEO of Vultr’s parent company, Constant.
About Cycle Cycle is the all-in-one low-ops platform built for deploying, scaling, and monitoring your websites, backends, and APIs. With automatic platform updates, standardized deployments, a powerful API, and bottleneck crushing automation—the platform offers batteries included, and no DevOps team is required. Founded in 2015, the company is headquartered in Reno, NV.