Geminus.ai | June 14, 2022
Geminus.AI announces the launch of its first product; a predictive intelligence platform that has the power to transform how companies design and operate industrial products and processes. The Geminus Platform fuses adaptive AI with physics using multi-fidelity modeling to enable creation of predictive models that uniquely combine high accuracy and speed, fast updating, and quantified uncertainty.
The product allows users to leverage key information on hand, such as low- and high-fidelity simulation, as well as real-world data, to efficiently create high performing predictive models that can be used for a variety of use cases including process design and control optimization.
"Lam’s interest in Geminus is driven by the potential to employ their hybrid modeling capability to better predict how our equipment would behave in high volume manufacturing and optimize designs accordingly.”
Faran Nouri, a director of Geminus and VP at Lam Research, an investor in Geminus
The investments an organization makes in modeling technology can be staggering and the risks associated with generating expensive, ineffective models are high. Compared to conventional physics-based alternatives, Geminus improves ROI with faster, more effective models, reducing the risks of bad decision making. It also provides another step toward enabling digital twins, with all the advantages they can offer.
“We believe that AI in its current form will struggle to deliver ROI in complex systems that cannot tolerate insufficient accuracy and dynamically change over time. For example, our models can power digital twins that predict the behavior of highly complex processes, and enable increased productivity, at a level that does not yet exist today,” said Greg Fallon, CEO of Geminus.ai.
Geminus exists to address the challenges of conventional AI, which includes heavy data requirements, long training times, and difficulty updating. The Geminus platform uses novel, physics-informed AI computing to translate constraints of the physical world inside resilient digital models. Furthermore, it requires only sparse data, and models are easily updated with the infusion of new data points. Data scientists and modeling engineers can use the platform to predict the behavior of complex systems and help them make informed decisions.
Apiiro | June 03, 2022
Apiiro, the leader in Cloud-Native Application Security, today announced the Apiiro Partner Program, which provides comprehensive support for technology, consulting, and reseller partners across the Cloud-Native Application Protection Platform (CNAPP) ecosystem.
In the era of cloud-native application development, the remediation lifecycle is getting longer and more complex because risks are distributed across the design, code, open source packages, infra-as-code, containers, Git and CI/CD servers, and cloud infrastructure.
In addition, the shift in responsibilities and the use of a multitude of tools, each addressing only a small subset of cloud-native application risks has reduced the overall efficacy with noisy alerts and false-positives due to the lack of context. Context from cloud infrastructure to code and Software Bill Of Materials visibility (SBOM) are instrumental for the remediation process across the software supply chain.
Partners like Alacrinet, Defy Security, Google Cloud, HashiCorp, NetSPI, NXGN, Parabellyx, and Trace3 from the cloud-native application security, DevOps, cloud infrastructure security, and other cybersecurity industries are joining the Apiiro Partner Program to work together to help customers remediate cloud-native application risks across the software supply chain. Partners will benefit from the Apiiro Risk Graph technology and enabling resources to speed customer adoption and success with a contextual shift left risk remediation technology.
"Our customers aren't just modernizing their cloud-native application security - they're reinventing the way they develop, build, and deploy cloud-native applications across the software supply chain. By uniting in the Apiiro Partner Program, Apiiro and our partners can collectively ensure cloud-native applications are developed and delivered in a secure manner."
John Leon, VP of Business Development at Apiiro
Program benefits include training materials and sales resources, access to technical evaluation demos and documentation to enable go to market and joint promotion opportunities. By enrolling in the Apiiro Partner Program, partners can increase their value to customers by delivering contextual shift left risk remediation before releasing to the cloud.
Apiiro helps security and development teams proactively fix risk across the software supply chain, before releasing to the cloud.
Visonify.ai | July 01, 2022
Visionify.ai, a Denver-based technology company that specializes in Machine Learning and Computer Vision services, has provided Azure Certification courses for all its Computer Vision and Machine Learning engineers. Part of Visionify's upskilling program, this fully sponsored Azure Certification course will now enable Visionify's AI engineers to leverage cloud services in machine learning solutions. The Microsoft Azure Certification courses on AI-900 began in April 2022. Since then, several of the company's engineering resources have undergone Azure training and successfully completed the AI-900 tests.
Visionify understands that AI and ML, with Azure at their center, are the present and future of technology. By having Azure certified AI and ML engineers, the company will be able to boost productivity in terms of building automated ML pipelines and deploying solutions on the go. Visionify is fully aware of the ever-changing technological landscape and believes it is imperative to upskill its employees through these training programs.
"Azure is one of the leading platforms that is making considerable advances in the AI and ML field. Accessibility to a cutting-edge model and ease of deployment makes Azure a better choice for us to serve our customers. Azure certification will not only help us upskill our employees but also help us with our resolve to become the best AI and ML consulting companies in the world."
Priyesh Sanghvi, CEO of Visionify.ai
A certificate in Azure is a clear indication of an individual's skills and its employer's scope of offerings. The certification requires all participants to pass an exam that tests individuals' AI-Cloud abilities/skills including AI-workloads, ML, Computer Vision and NLP workloads. This certification is not just a big boost for Visionify but also an upgrade for the employees' careers as well.
Visioniy.ai has been providing AI-related technological services like Staff Augmentation and Project/Roadmap execution to companies building AI-based products. Our expert team has built and deployed over a hundred AI/ML/CV-based solutions across industries.
Tailos | March 03, 2022
Inspired by the first robot in history, Maidbot finalized a major rebrand under their new name, Tailos (pronounced Tay-lōs), to best reflect its vision — taking robotics beyond commercial cleaning to provide a complete suite of human-empowering solutions.
Tailos, formerly Maidbot, announced today that it completed a major rebranding as the company looks ahead to a year of tremendous growth and transformation. Inspired by Talos, the Greek mythological robot built by the God of Technology to protect the people of Crete, the new name reflects the company's innovative approach to building human-empowering technologies that leverage robotics, Artificial Intelligence (AI), and Machine Learning (ML).
Tailos' initial product consists of two parts: a robotics platform and a web-based data platform tool. The robotics platform features a mini self-driving car focused on cleaning floors of commercial real estate, from hotels and multi-family dwellings to office space, senior living, airports, stadiums, and more. The data platform provides operators with analytics and notifications that enable proactive actions to enhance experiences for guests and tenants.
We have a monumental vision of building different types of technologies — both physical and digital — that solve the challenges revolving around the ongoing labor crisis, We are extremely excited about bringing this major change as the foundation of the next chapter for the company."
Micah Estis Green, Founder, President, and Chief Executive Officer of Tailos.
The new name "Tailos" will better encompass the entire suite of solutions the company is building for the future while aligning closer to the company's mission of building human-empowering technology.
Tailos revolutionizes the commercial real estate industry by leaving dull, dirty, and dangerous tasks to autonomous solutions, allowing humans to focus on more meaningful and enjoyable work. Founded in a dorm room at Cornell University, Tailos provides safe and cost-efficient automated solutions to the hospitality and industrial cleaning industries. Tailos' team is headquartered in Austin, TX, and is composed of real estate experts, rocket scientists, and robotics engineers who have worked for organizations including NASA, Dell, IBM, Apple, iFly, Flextronics, and the Southwest Research Institute, among others. The Tailos team has also partnered with several top VC firms, hospitality companies, and industrial cleaning companies.