YourStory Quiz #240: 5 Startups in Health, AI, Energy
12 Jul 2026
YourStory's long-running Lateral Sparks quiz has hit its 240th edition, and this week's lineup offers a snapshot of where founder energy is converging: AI-powered productivity, circular-economy energy plays, eldercare, wellness travel, and household renewables.
The quiz, a recurring feature from YourStory, doesn't rank or fund these companies — it simply spotlights them. But the selection itself is a useful signal of the sectors currently drawing attention in the startup ecosystem.
The five startups featured
Neo, founded by Bhavin Turakhia, combines work management with AI assistance — pairing collaborative execution tools with autonomous agents designed to handle tasks independently.
BatX Energies, founded by Utkarsh Singh and Vikrant Singh, recovers battery-grade materials from end-of-life batteries and manufacturing scrap, positioning itself within the circular economy for energy storage.
Emoha, founded by Saumyajit Roy, delivers home-based eldercare services — geriatric care, emergency assistance, health monitoring, hospital accompaniment, and social engagement — aimed at ageing populations.
Mindfully Sorted, founded by Sarmistha Mazumder, has organised more than 40 retreats focused on immersive, mindful travel experiences tailored to women's mental wellness.
SolarSquare, founded by Neeraj Jain, Nikhil Nahar, and Shreya Mishra, offers end-to-end rooftop solar solutions for households, spanning consultation, system design, installation, financing assistance, and long-term maintenance.
What's notably absent
The report accompanying this quiz edition is thin on hard numbers. There's no disclosure of funding amounts, valuations, or revenue for any of the five companies, and no founding dates are given. Team size, customer base, and geographic reach also go unmentioned — as does any explanation of why these particular five startups were chosen for this edition, or how they tie into the quiz's actual questions.
Why founders should care
This edition is more a thematic snapshot than a data-rich market report, so the takeaways are directional rather than quantitative:
- The inclusion of Neo's autonomous-agent approach to work management suggests founders may increasingly find receptive audiences for AI tools that go beyond assistance and toward independent task execution.
- BatX Energies' presence hints that circular-economy models — particularly around recovering materials from end-of-life batteries — could be gaining visibility as sustainable supply chains draw more attention.
- Emoha's inclusion suggests eldercare-focused, home-based service models may be attracting founder and observer interest as ageing-population needs grow.
- Mindfully Sorted's niche focus on women's mental wellness through travel indicates that specialized, underserved markets can still support viable business models.
- SolarSquare's end-to-end rooftop solar offering points to possible rising household interest in renewable energy adoption, though the report doesn't quantify demand.
Risks worth flagging
The report notes several sector-specific risks tied to these business models, even though none are confirmed as currently affecting the named companies. Battery-material recovery ventures like BatX Energies may face regulatory or supply-chain uncertainties inherent to recycling. Home-based eldercare providers such as Emoha could encounter challenges maintaining consistent service quality across regions. And rooftop solar providers like SolarSquare may be exposed to shifts in policy or financing that affect household adoption rates.
The bottom line
Lateral Sparks #240 doesn't offer financial specifics, but it does map a cross-section of founder activity across AI productivity, sustainable energy, eldercare, and niche wellness travel. For early-stage founders scanning for signal, the takeaway is less about these five companies individually and more about the sectors they represent — all areas where the report suggests continued founder attention is likely, even if the underlying data remains sparse.