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This Bay Area startup is using AI to help families navigate long-term care planning


Lily Vittayarukskul (pictured above) was studying aerospace engineering when her aunt was diagnosed with terminal colon cancer. Her aunt had lived under the same roof as Vittayarukskul while she was growing up and helped raise her. “We went all in on her care,” she recalled.

Post-chemotherapy, Vittayarukskul’s aunt “became very frail,” so her family — originally from Cambodia — navigated about two and half years of her daily long-term care needs. “It wiped us out financially,” she told TechCrunch.

The emotional and…



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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