Giga ML

Giga ML

Don't have WebCatalog Desktop installed? Download WebCatalog Desktop.

Website: gigaml.com

Switchbar - Browser picker for Mac & PC
Switchbar - Browser picker for Mac & PC

Enhance your experience with the desktop app for Giga ML on WebCatalog Desktop for Mac, Windows.

Run apps in distraction-free windows with many enhancements.

Manage and switch between multiple accounts and apps easily without switching browsers.

Giga ML is a platform designed to facilitate machine learning (ML) processes, offering users a comprehensive suite of tools to develop, deploy, and manage ML models efficiently. The app provides a robust environment for data scientists and developers to work with various ML architectures, including deep learning models, to solve complex problems across different domains.

One of the key features of Giga ML is its ability to streamline the ML lifecycle, from data preparation to model deployment. It supports the integration of diverse data sources and offers advanced analytics capabilities, allowing users to refine their models for better performance. The platform also emphasizes collaboration, enabling teams to work together seamlessly on projects, share insights, and leverage collective expertise to improve model accuracy and reliability.

Giga ML is built with scalability in mind, supporting both small-scale prototyping and large-scale production environments. It integrates well with existing infrastructure, making it suitable for organizations looking to enhance their AI capabilities without disrupting current workflows. By leveraging machine learning and AI technologies, Giga ML helps users automate tasks, improve decision-making processes, and drive innovation in their respective fields. The platform's focus on flexibility and adaptability ensures that it can be tailored to meet the specific needs of various industries and applications.

Giga ML is an applied AI lab focused on building end-to-end customer care agents, co-founded by Varun Vummadi and Esha Manideep. Varun left the Stanford PhD program in AI (2023) and Esha was ranked third at IIT KGP in 2023 to work on Giga ML. We raised $3.7 million in seed funding, led by Nexus, and are part of Y Combinator's S23 Batch. Garry Tan, CEO of YC, personally invested in us.

Website: gigaml.com

Disclaimer: WebCatalog is not affiliated, associated, authorized, endorsed by or in any way officially connected to Giga ML. All product names, logos, and brands are property of their respective owners.


You Might Also Like

© 2025 WebCatalog, Inc.