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As part of my #SoftPowerSeries, I will continue to write about brands that quietly challenge the status quo — by solving real problems, not just building products. Aretto is one such story. Founded by Satyajit Mittal and Krutika Lal, Aretto was born from a simple but overlooked insight: Children’s feet don’t grow in sizes. They grow in millimetres. And yet, the footwear industry never adapted to that truth — forcing parents to size up, waste money, or watch their kids wear shoes that didn’t fit quite right. Instead of following that path, Aretto invented their own. Three things that stand out about Aretto: – A patented design that allows shoes to grow up to three sizes  – A smart reduction in SKU count, from 15 sizes to just 5 – A focus on podiatrist-approved comfort, combining flexibility, and breathability What I respect most about Satyajit and Krutika: – The empathy to truly put themselves in a child’s shoes — literally and metaphorically. – The courage to invent their own technology instead of tweaking what existed. – The mindset to build slowly, sustainably, and with intention In a market obsessed with scale, they chose depth. In a category defined by throwaway consumption, they built longevity. That’s the kind of leadership I admire. #Aretto #StartupStories #FoundersJourney #BrandStory #EntrepreneurJourney

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📍 UPI moment for Indian Pincode and addresses! India has launched DigiPIN – a revolutionary digital address system by India Post, in collaboration with IIT-Hyderabad and ISRO. 🔹 What is DigiPIN? A unique 10-character alphanumeric code for every 4x4 meter location in India – like a desi GPS, but offline-friendly and ultra-precise. ❌ Why traditional PIN codes failed: One PIN covers hundreds of houses No rooftop accuracy Confusing for couriers & delays in deliveries ✅ Why DigiPIN is a game-changer: Unique code for every home, shop, or hut Works in cities, villages, remote areas Accurate voter/Aadhaar linking & faster e-commerce No personal data stored – just your location 🧭 How to get yours: Visit India Post website Enter your location Get your DigiPIN (needs GPS/GNSS enabled device) It’s part of India Post’s “Address-as-a-Service” (AaaS) initiative — open-source, interoperable, and a big step toward Digital Bharat. 🌐 So no more "Peepal ke pad ke peeche" or " Google Aunty wrong direction" :) Do you think it is a UPI moment for Indian Postal System? Let’s spread the word. Every Indian deserves a digital address. #DigiPIN #IndiaPost #DigitalBharat #Innovation #Logistics #Ecommerce #AddressRevolution #GovTech

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Digital Mandate Episode -10 | "Privacy Can't Be an Afterthought in Healthcare AI" - A CTO's Security Playbook | Ft. Nitin Dhingra, CTO, Indira IVF Group "In fertility care, technology isn't just about efficiency – it's about empathy at scale." Indira IVF's CTO reveals how India's largest fertility chain is balancing AI innovation with patient privacy: 🔹 The Data Lake First Rule: Why clean EMR data precedes all AI/automation 🔹 95% First-Time Accuracy: How RPA cut human errors in sensitive procedures 🔹 Cybersecurity Vaccine: Building 8-hour breach recovery into system DNA 🔹 Generative AI Care: Personalized WhatsApp nudges powered by reinforced learning models Gamechanger: "Our IoT network monitors 200+ medical devices remotely – preventing 30% downtime before it happens." #DigitalMandate #TechInsights #CTOInsights #HealthcareAI #DataPrivacy #DigitalTransformation #DPDP #AIinHealthcare #TechPodcast #CIOs Dr. Ashish Srivastava | Dr. Anupam Gupta | Vaibhav Kumar | Atul Pandey | Aishwarya Saxena | Praneeta P. | Nisha Sharma

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𝐈𝐧𝐝𝐢𝐚 𝐣𝐮𝐬𝐭 𝐠𝐨𝐭 𝐢𝐭𝐬 𝐟𝐢𝐫𝐬𝐭 “𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐌𝐮𝐥𝐭𝐢-𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐭𝐲 𝐇𝐨𝐬𝐩𝐢𝐭𝐚𝐥!!" - 𝐛𝐮𝐭 𝐰𝐡𝐚𝐭 𝐝𝐨𝐞𝐬 𝐢𝐭 𝐞𝐱𝐚𝐜𝐭𝐥𝐲 𝐦𝐞𝐚𝐧? Huge shoutout to the HeyDoc AI team and Clearmedi Healthcare for announcing India’s first hospital powered end-to-end by agentic AI care agents. But let’s pause for a second — What does an “agentic hospital” even mean? And why should we care? 𝐌𝐨𝐬𝐭 𝐡𝐨𝐬𝐩𝐢𝐭𝐚𝐥𝐬 𝐭𝐨𝐝𝐚𝐲 𝐫𝐮𝐧 𝐨𝐧… 𝐩𝐞𝐨𝐩𝐥𝐞. - People tracking tasks, following up on labs, coordinating care, checking vitals, moving data between systems, reminding others to do things, making sure escalations don’t get missed. - It works but only because clinicians are constantly patching the operational gaps themselves. 𝐀𝐧 𝐚𝐠𝐞𝐧𝐭𝐢𝐜 𝐡𝐨𝐬𝐩𝐢𝐭𝐚𝐥 𝐟𝐥𝐢𝐩𝐬 𝐭𝐡𝐢𝐬 𝐦𝐨𝐝𝐞𝐥. Instead of relying on humans to manually push the workflow forward, 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭𝐬 𝐚𝐜𝐭 𝐨𝐧 𝐛𝐞𝐡𝐚𝐥𝐟 𝐨𝐟 𝐭𝐡𝐞 𝐬𝐲𝐬𝐭𝐞𝐦: 1. auto-monitoring patient status 2. flagging deterioration before nurses see it 3. queuing labs, meds, consults 4. chasing pending tasks 5. predicting what each patient will need next 6. coordinating across departments without “handoff black holes” 7. surfacing evidence, orders, summaries in real time 8. reducing delays caused by human bottlenecks In short: "a hospital that thinks, learns, and acts — not just records" That’s the promise HeyDoc AI is building toward. 𝐖𝐡𝐲 𝐭𝐡𝐢𝐬 𝐦𝐚𝐭𝐭𝐞𝐫𝐬 𝐟𝐨𝐫 𝐈𝐧𝐝𝐢𝐚? Because Indian hospitals run at extreme volume and chronic understaffing. 𝐀𝐧 𝐚𝐠𝐞𝐧𝐭𝐢𝐜 𝐥𝐚𝐲𝐞𝐫 𝐜𝐚𝐧: 1. shrink the admin + coordination overhead 2. reduce missed follow-ups 3. prevent avoidable deterioration 4. lighten clinician workload 5. improve discharge readiness 6. reduce readmissions through proactive alerts 7. enable “care without friction” even at scale This isn’t just digital transformation. It’s a shift from workflows powered by people → workflows powered by intelligence And Clearmedi Healthcare stepping in to pilot this at a multi-specialty level? That’s a bold signal of what’s coming. Massive congratulations to the HeyDoc AI team — this is the kind of experimentation our ecosystem needs. I’m planning to write more about agentic AI in hospitals this week — Would you like a deeper dive on use cases, risks, and what an AI-first hospital stack actually looks like? Found this intriguing? Follow the curated network of 5k+ healthtech professionals The Healthtech Collective who engage on topics like these in our community: https://lnkd.in/gqbpj-Nu The Healthtech Collective Dr. Mrudula Bhalke Bharat Gera Dr. Raunaq Pradhan Dr. Karan Gupta Mrinal Tyagi Navneet Bali

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Midcap Masala | Nithya Balasubramanian, IKS Health, breaks down the launch of their new AI platform on Google Cloud, combining deep domain expertise with proprietary human-in-the-loop technology Full Interview: https://lnkd.in/deEh-Gdj Ashesha Adhvaryu Snehi Shah Nithya Balasubramanian

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“AI has moved from limited PoCs with minimal impact to widespread adoption, especially with the rise of generative AI.” - Nitin Dhingra, CTO, Executive VP, Indira IVF Group For detailed insights, read our latest edition of the CIO&Leader Issue: https://lnkd.in/gU76PDti #CIOandLeaderCoverstory #CIOInsights #TechInsights #ITLeadership #ITInfrastructure #AIInnovation #AIApplications #DataDriven #TechLeader #DigitalTransformation Vikas Gupta | Sachin Mhashilkar | Vandana Chauhan | Giridhar Rajagopalan | Jatinder S. | Vaibhav Kumar | Rajiv Pathak

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We released a fine-tuned version of Bionic (our family of AI models) to our customers (hospitals and Diagnostic Centres recently). Adoption has been off the charts. Customers from Mumbai to Mandya, Delhi to Dindugul are actively interacting with it. It's in beta, so I will wait a bit before revealing more details, which should be accompanied by a research paper from our Frontier AI Research Lab. Could Bionic be the world's most deployed Radiology AI? I think so.

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At #Rising2025, Ayushi Agarwal, Head of Data Science & Analytics at United We Care India, delivered a truly mind-expanding session on how AI can revolutionize mental health care with a mission to make support accessible, ethical, and effective for all. With 12 patents and groundbreaking research like “LLMs Will Always Hallucinate and We Need to Live with This”, Ayushi is at the forefront of AI for social good. She shared her current work on creating a vertical LLM for healthcare, powered by United We Care’s massive clinical knowledge graph. From Spatio-Temporal Graph Attention Networks to Compression-Complexity Causality (yes, it’s as cool as it sounds), Ayushi showed how AI can truly support human well-being when built with responsibility and empathy. Her session was a masterclass in using tech for good, proving that the future of healthcare is not just smart it’s compassionate. #Rising2025 #WomenInTech #AIforGood

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Bridging the Healthcare Disparity: Tech + Touch = Real Access In India, where a single radiologist may serve lakhs of patients, and rural citizens often travel hours just to get a basic diagnostic scan—healthcare disparity is not just a gap, it’s a chasm. We believe that only digital isn’t the answer. What’s needed is a hybrid care model—grounded in empathy and powered by innovation. At Easiofy Solutions, we're working to make this a reality through: AI-powered diagnostic tools for instant interpretation of chest X-rays and bone fractures Mobile X-ray vans equipped with our platform for remote image acquisition, AI analysis, and real-time reporting Health ATMs and digital health kiosks that screen vitals, capture medical history, and connect patients to doctors Human-in-the-loop workflows—ensuring AI supports clinicians, not replaces them With Easiofy’s AI platform embedded into these hybrid setups, frontline health workers can screen more patients, reduce turnaround time, and initiate timely treatment—even in the most underserved regions. Because health equity isn’t about having the latest tech— It’s about making sure everyone can benefit from it. #HealthcareForAll #Easiofy #AIinRadiology #HybridClinics #DigitalHealth #HumanInTheLoop #MobileXray #HealthATMs #RuralHealth #DiagnosticsReimagined

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Renalyx just launched 𝗥𝘅𝗧𝟮𝟭, India’s first 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗱𝗶𝗮𝗹𝘆𝘀𝗶𝘀 𝗺𝗮𝗰𝗵𝗶𝗻𝗲. This is a critical breakthrough. Every year, 𝟮.𝟮 𝗹𝗮𝗸𝗵 𝗜𝗻𝗱𝗶𝗮𝗻𝘀 are diagnosed with end-stage kidney disease. Together, they need over 𝟯.𝟰 𝗰𝗿𝗼𝗿𝗲 𝗱𝗶𝗮𝗹𝘆𝘀𝗶𝘀 𝘀𝗲𝘀𝘀𝗶𝗼𝗻𝘀 𝗮𝗻𝗻𝘂𝗮𝗹𝗹𝘆. But India has just about 𝟴,𝟬𝟬𝟬 𝗱𝗶𝗮𝗹𝘆𝘀𝗶𝘀 𝗰𝗲𝗻𝘁𝗲𝗿𝘀 to meet that demand. And most of them are concentrated in cities. Rural patients either travel long hours or skip sessions. Both are deadly options. Each session costs between ₹1,200 to ₹4,500. Most patients need dialysis 𝟮–𝟯 𝘁𝗶𝗺𝗲𝘀 𝗮 𝘄𝗲𝗲𝗸, every week, for life. The financial and emotional burden is massive. Renalyx RxT21 aims to solve this. The machine is built in India. Runs on AI. Enables 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗺𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 and 𝗿𝗲𝗺𝗼𝘁𝗲 𝗱𝗶𝗮𝗴𝗻𝗼𝘀𝘁𝗶𝗰𝘀. Is 𝗰𝗹𝗼𝘂𝗱-𝗰𝗼𝗻𝗻𝗲𝗰𝘁𝗲𝗱 and IoT-enabled. And starts at just ₹𝟲.𝟳𝟬 𝗹𝗮𝗸𝗵 nearly 𝟯𝟬–𝟰𝟬% 𝗰𝗵𝗲𝗮𝗽𝗲𝗿 than imports. It’s 𝗘𝗨-𝗖𝗘 𝗰𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱. 𝗖𝗗𝗦𝗖𝗢 𝗮𝗽𝗽𝗿𝗼𝘃𝗮𝗹 is expected by 𝗝𝘂𝗹𝘆 𝟮𝟬𝟮𝟱. 𝗨𝗦 𝗙𝗗𝗔 𝗰𝗹𝗲𝗮𝗿𝗮𝗻𝗰𝗲 targeted by 𝗠𝗮𝗿𝗰𝗵 𝟮𝟬𝟮𝟲. Renalyx plans to manufacture: – 𝟓,𝟎𝟎𝟎 𝐦𝐚𝐜𝐡𝐢𝐧𝐞𝐬 𝐛𝐲 𝐅𝐘𝟐𝟔  – 𝟏,𝟓𝟎𝟎 𝐦𝐨𝐫𝐞 𝐛𝐲 𝐅𝐘𝟐𝟖 Backed by a total investment of ₹𝟴𝟬𝟬 𝗰𝗿𝗼𝗿𝗲. The goal is not just affordability. It’s access. To place these machines in 𝗣𝗛𝗖𝘀, 𝗖𝗛𝗖𝘀, small hospitals, and clinics. To reduce dependence on large private hospitals. To provide 𝘁𝗲𝗰𝗵-𝗲𝗻𝗮𝗯𝗹𝗲𝗱 𝗱𝗶𝗮𝗹𝘆𝘀𝗶𝘀 𝗶𝗻 𝘂𝗻𝗱𝗲𝗿𝘀𝗲𝗿𝘃𝗲𝗱 𝗮𝗿𝗲𝗮𝘀. This is what “Make in India” looks like when it meets healthcare. Smart. Simple. Scalable. At Medwiki, we’re building for the same vision. To make health knowledge accessible. To bridge the trust gap between medical tech and real families. Because the future of healthcare in India is not just about invention. It’s about adoption. And that starts with awareness. One machine at a time. One patient at a time.

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