TECH NEWS

AI startup DeepSeek poised to reach $74 billion valuation

The Hangzhou-based company is seeking to raise funding to bankroll research and development, and its expansion into computing infrastructure.

Prefer HTon Google

DeepSeek is set to soon secure new funding that would value the Chinese artificial-intelligence startup at $74 billion, building its war chest as it targets an initial public offering next year.

The Hangzhou-based company is seeking to raise $7.4 billion to bankroll research and development, and its expansion into computing infrastructure, according to people familiar with the matter.

All Access. One Subscription!

Get 360 coverage from daily headlines to 100-year archives

Already Subscribed? Login

Copyright of this story solely belongs to hindustantimes.com. To see the full text click HERE

https://img-cdn.publive.online/fit-in/1200x675/ciol/media/media_files/2026/09/15/ciol-3-2026-09-15-14-33-05.png

Flam Raises $40 Million Series B To Scale AI Interactive Content

Flam has raised $40 million in a Series B funding round led by QED Investors as the AI interactive content company looks to expand its product suite, invest in AI research and scale enterprise sales globally. Claypond Capital, Martin Chavez, Olivier Pomel, Venky Harinarayan and Shah Rukh Khan participated in

https://img-cdn.publive.online/fit-in/1200x675/ciol/media/media_files/2026/09/15/funding-2026-09-15-19-17-07.png

Vande Bharatam’s ₹30 Cr MiCoB Deal Raises The Startup Stakes

MiCoB, a Gujarat-based construction-technology startup founded by Ankita Sinha, Shashank Shekhar, and Rishabh Mathur, has secured a ₹30 Cr investment commitment on Episode 7 of Vande Bharatam, aired on September 14. The commitment was jointly offered by Kalyan Krishnamurthy, CEO, Flipkart, and Ashutosh Valani, Co-Founder, RENÉE Cosmetics. Separately, Karan Adani,

https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2026/09/11/ML-20331-featured-image.png

Build an AI-powered product tagging system with Amazon SageMaker serverless model customization | Amazon Web Services

Retail catalogs rarely arrive as clean, structured attributes. Product names, descriptions, and category paths come from many sources and change continuously. Search, recommendations, and catalog navigation depend on consistent tags, but manually applying those tags across thousands of stock keeping units (SKUs) is slow and difficult to keep consistent. A

https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2026/09/11/ML-20790-featured-image.png

Optimizing cost and latency with Amazon Bedrock prompt caching | Amazon Web Services

Prompt caching in Amazon Bedrock can reduce your input token costs by up to 90 percent when you repeatedly send the same context to foundation models, based on Amazon Bedrock prompt caching pricing. Without caching, a 10,000-token contract sent alongside 50 user questions means 500,000 input tokens billed