Tag SWaP

Mumbai, India, July 23, 2024: Revolutionizing the way fashion-forward women experience luxury, Sanktum, the brainchild of founders Anushi Patel and Rangoli Kute, introduces a groundbreaking subscription service that has taken India’s fashion scene by storm. Say goodbye to the days of being stuck with the same handbag; Sanktum’s luxury handbag subscription lets you swap, style, and repeat, ensuring you’re always at the forefront of fashion.

Luxury, Redefined

Sanktum offers an exclusive collection of high-end handbags from world-renowned designers, giving subscribers the freedom to experiment with different styles without the commitment of a permanent purchase. Whether it’s a sleek clutch for a gala, a chic tote for a business meeting, or a trendy crossbody for a casual outing, Sanktum has the perfect accessory for every occasion.

How It Works:

The subscription process is simple and tailored to meet the needs of fashion enthusiasts:

Choose Your Plan: Select from various subscription tiers to match your style and budget.

Curate Your Collection: Browse through a curated selection of luxury handbags and select your favorites.

Swap and Repeat: Enjoy your chosen handbag for a month, then swap it for a new style. The process is seamless, ensuring you never miss a beat in the fast-paced world of fashion.

Eco-Friendly Fashion

Sanktum is not just about luxury and style; it’s also about sustainability. By opting for a handbag subscription, you’re contributing to a more sustainable fashion ecosystem. The practice of renting and returning reduces waste and promotes a circular economy, making it an eco-friendly choice for conscientious fashion lovers.

India, February 12, 2024: SiMa.ai, the machine learning software-driven company with purpose-built hardware to deploy AIML applications at the edge, today announced it has been named an IDC Innovator in the IDC Innovators: AI/ML at the Edge, 2024. The report excerpt is available for download on SiMa’s website here.

According to the IDC Innovators report, “SiMa.ai is recognized as an IDC Innovator because of its approach to enabling machine learning at the edge. SiMa.ai produces a software-centric Machine Learning System on Chip (MLSoC) that consumes very little power compared with competitive ML-optimized chips and is purpose built for the embedded edge market. Unlike standalone accelerators, SiMa.ai delivers lower power and higher performance for devices with size, weight, and power (SWaP); extended temperature; reliability; and diverse packaging requirements.” The IDC Innovators report notes, “Each of the vendors in this IDC Innovators document offers products that help bridge the gap between ideation and real use cases.”

SiMa.ai provides a machine learning system on a chip (MLSoC), Palette Software, and an MLSoC Developer Kit to make the deployment and scale of complete ML pipelines at the embedded edge highly performant and power efficient. SiMa’s offerings represent a fusion of hardware and software that ultimately lets customers enable their products and services with AIML quickly and without acquiring new expertise to implement AIML technology.

SiMa’s MLSoC supports the industry’s widest range of ML models and ML frameworks for computer vision with best in class performance.

SiMa’s Palette Software arms AIML developers with an intuitive integrated environment for edge ML application development and the ability to evaluate ML pipelines with a drag and drop approach with Palette Edgematic.

The MLSoC Developer Kit, most recently updated in December 2023, offers an out of the box vehicle for ML Developers to begin compiling, prototyping, and evaluating ML models within hours.

“We are honored to be recognized as an IDC Innovator for AI/ML at the Edge,” said Krishna Rangasayee, Founder and CEO at SiMa.ai. “We believe this research validates the work SiMa.ai is undertaking to usher in the next age of intelligence at the edge. Our team is proud to deliver solutions that will change the game for industrial robotics, computer vision, smart retail, and autonomous vehicles, as we continue to optimize large multi-modal models to enable the next generation of intelligent edge devices.”

The report noted, “SiMa.ai is uniquely positioned to overcome one of the biggest hurdles to enabling AI and ML at remote locations.” The report also noted, “SiMa.ai has focused on ease of use, enabling a ‘push button’ experience when integrating machine learning capabilities into devices at the edge, including drones, video cameras, robots and industrial equipment, autonomous vehicles, and healthcare imaging technologies.”