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Funding

EnCharge raises $100M+ to accelerate AI using analog chips


EnCharge AI, a semiconductor startup developing analog memory chips for AI applications, has raised more than $100 million in a Series B round led by Tiger Global to spur its next stage of growth. 

The funding is significant partly because interest in AI is at an all-time high, but the high price of building and operating AI services continues to be a red flag. EnCharge, spun out from Princeton University, believes its analog memory chips — envisioned to be embedded in devices such as laptops, desktops, handsets, and wearables — will not only…



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by Startup Story Media

Biotech Funding Alert ByStartupStory     |    November 11, 2025 BioactivX, a Singapore-based biotech startup specializing in advanced wound care solutions, has successfully raised $1.4 million in seed funding. The round was led by Cocoon Capital, a prominent early-stage venture… Source link

by The Economic Times

Digital lending startup Finnable has raised Rs 250 crore this August in a funding round led by Z47 (formerly Matrix Partners) and TVS Capital. This is the company’s second tranche, with the first Rs 250 crore being infused by the same investors back in November 2024. Post this round, the total capital raised by the Bengaluru-based lending startup stands at Rs 540 crore. The MEMG family office, led by Ranjan Pai, has also invested in the company. The firm plans to invest the fresh funds in technology, expand its branch network, and build new product… Source link

by The Economic Times

Greenfi, an AI-powered ESG risk management platform, has raised its first round of $2 million led by Transition VC. The Kerala-based startup’s artificial intelligence (AI)-powered environmental, social, and governance (ESG) compliance tool helps companies automate risk management and provide personalised, role-based recommendations on improving the user’s sustainability performance and addressing flagged risks. For instance, if a bank is investing $100 million in a solar power plant project, instead of having 20 people manually collecting data… Source link