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CionLabs, 2nd Floor, Building 380, 9th Main, Sector 7, HSR Layout, Bangalore (2026)

29/03/2026

The Great Memory Squeeze: Why DRAM Constraints Are Reshaping Edge AI Hardware Strategies in 2026

A funny thing is happening in the edge AI world in 2026. The product decisions that will separate market leaders from also-rans are not about tera operations per second (TOPS), sensor resolution, or which transformer variant to deploy. They are about something far more mundane, and far more strategic: memory.

How much DRAM can you get? How much does it cost? Can you ship the exact memory part you designed around? For hardware executives in India and across the globe, these questions have become existential.

If this sounds abstract, consider a very concrete signal: On December 1, 2025, Raspberry Pi raised prices on several Pi 4 and Pi 5 SKUs, explicitly citing an “unprecedented rise in the cost of LPDDR4 memory”. For engineering teams, P*s are not consumer gadgets, they are prototyping platforms, vision pipeline testbeds, and quick-turn demos. When the cost of your development infrastructure moves like this, it is a canary in the coal mine.

The memory market has split into two distinct realities: AI infrastructure gets what it needs, and everyone else adapts. For edge AI product companies, especially those building for the Indian market, the implications are profound. The teams that win in 2026 will not just have better models. They will have better memory discipline: designs that tolerate volatility, software that respects bandwidth, and product plans that assume supply constraints are real.

The Numbers That Demand Boardroom Attention

Let us begin with the scale of the disruption.

TrendForce, the premier memory market intelligence firm, forecasts that conventional DRAM contract prices for the first quarter of 2026 will rise approximately 55–60% quarter-over-quarter. This surge is driven by DRAM suppliers reallocating advanced nodes and production capacity toward server and High-Bandwidth Memory (HBM) products to support AI server demand. Server DRAM contract prices could surge by more than 60% quarter-over-quarter.

The impact is already visible across the supply chain. Even hyperscalers, companies with the deepest pockets and strongest supplier relationships, are reportedly receiving only about 70% of requested memory volumes, with constrained conditions expected to extend through 2026 and potentially beyond. Market signals suggest the peak of this shortage has not yet been reached.

For edge AI products, the challenge is amplified by a specific dynamic: LPDDR4X and LPDDR5X are expected to stay undersupplied, with uneven resource distribution supporting higher prices. LPDDR is everywhere in the edge stack, smart cameras, network video recorders (NVRs), robotics compute modules, industrial gateways, drones, and the growing class of “embedded Linux plus NPU” boxes.

The price trajectory is stark. Some memory modules have reached 3–4 times their Q3 2025 levels. In practical terms, this can add up to $100 per device to the bill of materials for systems that rely on high-capacity DRAM.

Why Edge AI Is More Sensitive Than Traditional Embedded Systems

To understand why this memory squeeze matters so acutely for edge AI, we must understand how edge AI workloads have evolved.

A 2022-era camera pipe
contd..

Read the complete article:
https://cionlabs.com/the-great-memory-squeeze-why-dram-constraints-are-reshaping-edge-ai-hardware-strategies-in-2026/

22/03/2026

Smart Warehousing 2026: The Hardware Foundation of India's E-Commerce Revolution

India’s e-commerce revolution is no longer just about shopping carts and payment gateways. It is about what happens after the “Buy Now” button is clicked—the complex, high-velocity choreography of inventory, automation, and last-mile delivery that determines whether a customer receives their order in hours or days.

Behind every successful e-commerce platform lies a sophisticated warehousing ecosystem. And as we move through 2026, that ecosystem is undergoing a fundamental transformation, one that is shifting from human-driven operations to hardware-enabled intelligence.

For senior executives in retail, logistics, and manufacturing, understanding this shift is not optional. The hardware you deploy in your warehouses today will define your competitive advantage for the next decade.

The Scale of India’s Warehousing Transformation

Let us begin with the numbers that frame the opportunity.

India’s Grade A warehousing stock across the top eight cities reached 238 million square feet in 2024, growing at a compound annual growth rate of 22% since 2019. But this is just the beginning. Total warehousing stock across India’s key cities is projected to reach 516 million square feet by 2026, with some estimates suggesting a target of 700 million square feet by 2028.

What is driving this unprecedented expansion? The answer lies in three converging forces.

First, e-commerce demand for warehousing space is projected to rise by 165% during FY 2022–2026 compared to the previous five-year period. Second, manufacturing expansion under Production-Linked Incentive (PLI) schemes is creating demand for purpose-built industrial facilities. Third, third-party logistics (3PL) providers are aggressively expanding their footprints along national highway corridors.

But here is the critical insight: the warehousing sector is no longer just about adding square footage. The defining shift is how that space is being used.

From Storage to Processing: The Productivity Imperative

In the old model, warehouses were storage facilities. In the new model, they are high-velocity processing centers where goods move continuously from receiving to shipping with minimal dwell time.

This shift is driven by customer expectations. Faster delivery timelines, higher order fragmentation, and tighter accuracy benchmarks are stretching traditional warehouse models to their limits. Manual processes, once sufficient in a low-volume environment, are proving inadequate as supply chains become more complex and geographically dispersed.

Industry leaders are now focusing on productivity per square foot, per worker, and per hour rather than merely adding capacity. This productivity imperative is what makes hardware, specifically IoT-enabled hardware—the foundation of modern warehousing.

The Hardware Stack of the Smart Warehouse

What does a truly smart warehouse look like in 2026? The answer lies in a layered hardware architecture that combines connectivity, sensing, and intelligence.

1. Connectivity Infrastructure: The Nervous System

At the base of every smart warehouse is a robust connectivity layer. Wi-Fi remains the domin
contd..

Read the complete article:
https://cionlabs.com/smart-warehousing-2026-the-hardware-foundation-of-indias-e-commerce-revolution/

16/03/2026

The RISC-V Revolution: How Open-Source Chip Architecture is Democratizing IoT Hardware in India

For decades, the semiconductor industry has operated on a simple, restrictive premise: if you wanted to build a custom chip, you needed a billion-dollar budget and a license from a handful of foreign architects. The Instruction Set Architecture (ISA), the fundamental language of a processor, was a locked door.

That door has been blown off its hinges by RISC-V.

For senior executives in India's electronics and IoT space, this is not just a technical footnote. It is a fundamental shift in the balance of power. It represents the single greatest opportunity to move from being assemblers of foreign technology to creators of indigenous intellectual property.

At Cionlabs, we have been watching this revolution unfold in real-time. The year 2026 is shaping up to be the moment the Indian RISC-V ecosystem moves from promise to production.

What is RISC-V and Why Should a Business Leader Care?

RISC-V is an open-standard ISA, meaning it is free for anyone to use, modify, and build upon without paying royalties to a single company like Arm or Intel.

For a business leader, the implications are threefold:

Freedom from Vendor Lock-in: You are no longer chained to the roadmap of a foreign supplier. If you own the RISC-V IP, you control your product's destiny.

Radical Cost Reduction: By eliminating licensing fees and leveraging open-source cores, the barrier to creating custom silicon (SoCs) drops dramatically.

True Customization (Domain-Specific Architecture): You can design a chip that is perfect for your specific application, be it a low-power sensor or an AI camera—rather than forcing your product to fit a generic, off-the-shelf chip.

The Indian Express: DIR-V and the Sovereign Silicon Drive

The Indian government and research institutions have placed a massive bet on RISC-V. The Digital India RISC-V (DIR-V) initiative is the cornerstone of this strategy, aiming to make India a global producer of open-source hardware.

The vision, articulated by leaders like IIT Madras Director Prof. V. Kamakoti, is clear: by leveraging RISC-V, Indian startups can develop efficient, domain-specific System-on-Chips (SoCs) for AI, IoT, and high-performance computing, fueling the "Make in India" and "Digital India" missions.

This isn't just academic theory. The ecosystem is maturing rapidly. At the recent VLSI Design Conference 2026 in Pune, C-DAC showcased live demonstrations of their indigenous VEGA processors powering real IoT applications, alongside the ARIES development boards. The building blocks for "Made in India" chips are here.

The Tipping Point: VIHAAN-I and the Aheesa Breakthrough

Theory became reality in February 2026. Indian fabless startup Aheesa Digital Innovations announced the tape-out of VIHAAN-I, the country's first RISC-V-based broadband access SoC fully designed and developed in India.

This is a landmark event for the Indian electronics ecosystem. The VIHAAN-I chip, built around C-DAC's Vega processor core, targets the millions of optical fiber terminals (the "white box" in your home or office) that currently rely on imported silicon.

Aheesa's founder, Sridharan Mani, explicitly cited nation
contd..

Read the complete article:
https://cionlabs.com/the-risc-v-revolution-how-open-source-chip-architecture-is-democratizing-iot-hardware-in-india/

03/03/2026

Qualcomm's India Push: How Snapdragon AR1 and Partnerships Are Enabling the Ecosystem

In July 2025, a strategic partnership was announced that would quietly lay the foundation for India's smart glasses revolution. Lenskart and Qualcomm came together at the Snapdragon for India XR Day, committing to co-developing augmented reality and AI solutions tailored for Indian consumers. Eight months later, that partnership has borne fruit. In February 2026, Lenskart confirmed that its upcoming "B by Lenskart" smart glasses, launching by March, are built on Qualcomm's Snapdragon AR1 Gen 1 chip.

But this is not an isolated story. At the India AI Impact Summit 2026, Qualcomm announced a sweeping set of initiatives that signal a deep, strategic commitment to India's technology ecosystem: a $150 million venture fund for Indian AI startups, a partnership with sovereign AI developer Sarvam to build a "Sovereign AI Experience Suite," and a vision for "Physical AI" that extends from smartphones to smart glasses to robotics.

For the CEO, Head of Product, and Chief Strategy Officer, the message is unmistakable. Qualcomm is not treating India as just another market. It is building the chip-level foundation for an entire ecosystem of intelligent devices designed in India, for India, and increasingly, for the world. Understanding this push is essential for any company looking to participate in the next generation of AI-powered hardware.

The Silicon Foundation: Snapdragon AR1 Gen 1

At the heart of India's emerging smart glasses ecosystem is the Snapdragon AR1 Gen 1 platform, Qualcomm's chipset designed specifically for lightweight augmented reality and camera-enabled AI applications.

The AR1 Gen 1 is engineered to address the unique constraints of smart eyewear: extreme power efficiency, compact footprint, and dedicated AI processing capabilities. It enables real-time computer vision, on-device AI inference, and high-quality camera capture—all within the thermal and battery limits of a glasses frame.

Both Lenskart and Sarvam are building on this foundation, but with distinctly different approaches that illustrate the versatility of the platform.

Lenskart: The Full-Stack Consumer Play

Lenskart's "B by Lenskart" smart glasses represent the most ambitious consumer smart glasses project ever undertaken by an Indian company. Built entirely in-house rather than imported as a finished product, the glasses embody Lenskart's vertically integrated, full-stack approach.

The Hardware Foundation:Powered by Qualcomm's Snapdragon AR1 Gen 1 platform and featuring a Sony camera module, the glasses weigh approximately 40 grams—significantly lighter than many competing products, making them comfortable for all-day wear. Critically, they are prescription-lens capable, transforming them from a niche gadget into everyday eyewear for millions of Indians who already need vision correction.

The Intelligence Layer:The glasses are paired with an AI assistant based on Google's Gemini 2.5, enabling natural voice conversations, real-time information queries, and hands-free interactions. The first version includes features such as:

UPI payments for hands-free QR-code transactions

Health monitoring with food logg
contd..

Read the complete article:
https://cionlabs.com/qualcomms-india-push-how-snapdragon-ar1-and-partnerships-are-enabling-the-ecosystem/

02/03/2026

The Neural Interface Horizon: Preparing for Meta's Next-Gen Wearables in India

The way we interact with technology is about to undergo its most profound shift since the touchscreen. For the past two decades, our relationship with computing has been defined by a single, repetitive gesture: looking down. We glance at phones, tap at screens, and scroll through endless feeds, our attention pulled constantly away from the physical world and into the digital one. Meta, the company that has mastered the art of capturing our attention, now wants to free it.

At the heart of this vision lies the neural interface. And for Indian business leaders—whether in consumer electronics, enterprise technology, or retail—the arrival of this technology is not a distant science experiment. It is a strategic inflection point that will redefine how products are designed, how services are delivered, and how consumers engage with brands. The horizon is closer than you think.

The Dawn of Wrist-Based Control

At Meta Connect 2025, Mark Zuckerberg unveiled the hardware that will power this transition: the Meta Ray-Ban Display glasses and the Meta Neural Band. Priced at $799 (approximately ₹70,000) in the US, the glasses feature a full-colour, high-resolution in-lens display that allows users to check messages, preview photos, and interact with AI without ever looking at a phone.

But the true breakthrough is the Neural Band. This wrist-worn device uses surface electromyography (EMG) to read electrical signals from the user's muscles—the tiny, almost imperceptible firings that occur when we intend to move a finger. It translates these signals into commands. A subtle pinch of the fingers can select an item. A light tap can scroll. A tracing motion on any surface can be converted into text.

At CES 2026, Meta demonstrated the potential of this technology with a new handwriting-based messaging feature. Users enrolled in the Early Access program can now trace letters with a finger on any surface—a table, a leg, a notebook—while wearing the Neural Band, and have those movements converted into real-time text for WhatsApp and Messenger. This is not voice control. It is not touch control. It is intention-based control.

The Strategic Shift: Why Meta Is Building Its Own Platform

For Indian executives, understanding Meta's motivation is essential to anticipating its impact. As one analysis noted, up until now, Meta has been dependent on Apple and Google for its survival. All its apps—WhatsApp, Instagram, Facebook, Messenger—live on iOS and Android devices, controlled by companies that can change the rules anytime. Apple's privacy updates have already slashed Meta's ad revenue, exposing just how vulnerable this model is.

The Ray-Ban Display glasses and Neural Band mark a turning point. For the first time, Meta isn't just another app on your phone. It is building its own hardware ecosystem. By putting smart glasses on your face and a neural interface on your wrist, Meta controls not just the software but also the physical hardware. These devices could become the extra pair of eyes and ears that Meta fully owns, a way to bypass Apple and Google and ensure that the world's most personal moments
contd..

Read the complete article:
https://cionlabs.com/the-neural-interface-horizon-preparing-for-metas-next-gen-wearables-in-india/

01/03/2026

Visual AI for the Visually Impaired: The Transformative Accessibility Use Case

In the bustling corridors of Narayana Nethralaya in Bengaluru, a quiet revolution is unfolding. Patients who have lived with blindness or severe low vision are being fitted with a pair of sleek glasses that do not just sit on their faces—they see for them. These glasses can read handwritten prescriptions, identify currency notes, recognise familiar faces, and describe the world through audio cues. For someone who has navigated life by touch and sound alone, this is not a convenience. It is a transformation of independence.

This is the promise of Visual AI for the visually impaired. And in India, where an estimated 70 crore people live with preventable or irreversible sight loss, this technology is not just a niche accessibility feature. It is a massive, underserved market with profound social impact.

For the CEO, Head of Product, and Chief Strategy Officer, the message is clear: the convergence of artificial intelligence, edge computing, and affordable hardware has created an unprecedented opportunity to build products that are both commercially viable and socially transformative. The question is no longer whether Visual AI for accessibility will scale. It is those who will build the solutions that define this category in India.

The Scale of the Need: India's Invisible Market

The numbers are staggering. According to a 2025 report by the International Agency for the Prevention of Blindness (IAPB), approximately 70 crore people in India are living with preventable sight loss, affecting employment, education, income, and caregiving responsibilities. The National Sample Survey (NSS) 76th round estimated the prevalence of visual disability in the general population at 0.23%, with about 15% of people with visual disability lacking access to disability-related healthcare.

Critically, affordability is the leading barrier. The same NSS data revealed that around 55% of people with visual disability had zero out-of-pocket expenditure on healthcare—a figure that speaks not to lack of need, but to lack of means. For decades, this population has been underserved by technology. Imported assistive devices often cost upwards of ₹3.4 lakh, placing them far beyond the reach of most Indians.

Yet the economic case for intervention is compelling. The IAPB estimates that investing in eye health and assistive technologies could unlock ₹3.6 lakh crore for the Indian economy annually, with a ₹16 return for every ₹1 invested. This is not charity. This is macroeconomic sense.

The Indian Innovators: A New Generation of Assistive Technology

The gap between need and affordability has catalysed a wave of homegrown innovation. Indian startups are now building world-class Visual AI solutions at a fraction of the cost of imported alternatives.

SHG Technologies, founded in 2020 by former Indian Navy officer and IIT Kanpur alumnus Ramu Muthangi, emerged from a deeply personal tragedy. Muthangi's sister lost her vision to diabetic retinopathy, and her struggle with blindness inspired the creation of Smart Vision Glasses—an AI-powered wearable designed to restore independence and dignity. Priced
contd..

Read the complete article:
https://cionlabs.com/visual-ai-for-the-visually-impaired-the-transformative-accessibility-use-case/

28/02/2026

From ₹4,000 to ₹35,000: The Pricing Tiers Shaping India's Smart Glasses Mass Market

Just a few years ago, smart glasses were the stuff of science fiction—bulky prototypes with limited functionality and price tags that confined them to enterprise pilot projects and developer kits. Today, they are a tangible consumer reality, and nowhere is this transformation more evident than in India. In February 2025, Lenskart quietly disrupted the market by launching 'Phonic,' its first smart eyewear, priced at an astonishing ₹4,000. Barely a year later, Meta and Oakley introduced the Oakley Meta Vanguard for athletes, starting at ₹52,300. Between these poles lies a rapidly stratifying market, one that is no longer asking if Indians will adopt smart glasses, but which ones they will choose based on a clear-eyed calculation of features, form, and price.

For the CEO, Head of Product, and Chief Strategy Officer, understanding this pricing architecture is not an academic exercise. It is the key to positioning your brand, defining your product roadmap, and capturing value in a market projected to grow at a staggering 29.21% CAGR, from USD 115.7 million in 2025 to over USD 1.2 billion by 2034. The mass market is forming, and it is coalescing around four distinct pricing tiers, each with its own logic, its own consumer, and its own opportunity.

The Architecture of the Indian Smart Glasses Market

The Indian smart eyewear market is not a monolith. It is a layered pyramid, with volume at the base and sophistication at the apex. While high-end AR headsets can still command prices upwards of ₹70,000, the mass market—where real volume and brand loyalty are built—is taking shape within a more accessible framework. Drawing from market launches and consumer benchmarks, four primary tiers are emerging that define the choices available to Indian consumers in 2026.

Tier 1: The Mass-Market Disruptor (Under ₹5,000)

At the very base of the pyramid lies the most significant development for Indian adoption: truly affordable smart eyewear. This tier is defined not by displays or advanced AR, but by audio-first or basic assisted intelligence.

The benchmark here is Lenskart's 'Phonic,' launched in February 2025 at ₹4,000. These glasses focus on core, practical functionality—integrated audio, voice assistance, and perhaps basic notifications—delivered in a stylish, everyday frame. The proposition is simple: for the price of a mid-range pair of branded sunglasses, you get a connected device that enhances your daily life without overwhelming you with features.

This tier is critical for market pe*******on. It targets the first-time buyer, the value-conscious consumer, and the vast population in Tier 2 and Tier 3 cities who are curious about wearables but have a limited budget. Success here is driven not by cutting-edge specs, but by design, comfort, and seamless integration with the smartphone ecosystem.

Tier 2: The Lifestyle AI Companion (₹25,000 - ₹40,000)

The next tier is where the market truly heats up. This is the domain of camera-first, AI-powered smart glasses that prioritize capture, assistance, and social sharing over visual overlays. These devices ar
contd..

Read the complete article:
https://cionlabs.com/from-%e2%82%b94000-to-%e2%82%b935000-the-pricing-tiers-shaping-indias-smart-glasses-mass-market/

27/02/2026

The Developer Ecosystem Opportunity: Building India's "App Store" for Smart Glasses

When Prime Minister Narendra Modi donned the Sarvam Kaze AI glasses at the India AI Expo, he wasn't just testing a piece of hardware. He was witnessing the birth of a new computing platform. But a platform without developers is just a device. The real revolution—the one that transforms smart glasses from a novelty into an indispensable part of daily life - will be written in code by India's vibrant developer community.

Both Sarvam AI and Lenskart have recognized this fundamental truth. They are not just building hardware; they are building ecosystems. Sarvam has announced that developers will be able to build custom experiences for the Kaze platform. Lenskart is opening its "B by Lenskart" smart glasses to India's developer community, inviting consumer app companies and independent developers to create localized use cases across food delivery, entertainment, fitness, and navigation.

For the CTO, Head of Product, and Chief Innovation Officer, this represents a strategic inflection point. The question is no longer "When will smart glasses arrive in India?" but "How will our organization participate in the ecosystem that will define their utility?"

The Platform Imperative: Why Hardware Alone Is Not Enough

The history of computing platforms offers a clear lesson: the winners are not those with the best hardware specs, but those with the most vibrant developer ecosystems. Apple's App Store didn't just sell iPhones; it sold an infinite expandability of purpose. Google's Android ecosystem didn't just offer choice; it offered ubiquity.

Smart glasses represent the next great computing platform—one that moves intelligence from the screen in our pocket to the world before our eyes. And in India, two parallel efforts are laying the foundation for a homegrown ecosystem.

Lenskart's Developer-First Strategy

Lenskart plans to open its upcoming "B by Lenskart" smart glasses platform to India's developer community, making its AI and camera technology accessible to popular consumer platforms such as Zomato, Swiggy, and BookMyShow, as well as to independent developers. The company aims to build one of India's first full-stack wearable ecosystems, integrating hardware, artificial intelligence, and software capabilities.

Powered by Qualcomm's Snapdragon AR1 Gen 1 chipset and featuring a built-in Sony camera, the B by Lenskart glasses will include an AI assistant powered by Google's Gemini 2.5 Live, enabling voice-based interactions, UPI payments, live translation, and wellness tracking. Weighing just 40 grams—approximately 20% lighter than comparable smart glasses—the device is engineered for everyday wear.

But the hardware is only the beginning. By opening its platform, Lenskart is signaling that the real value lies in the applications that will be built on top of it.

Sarvam's Sovereign AI Platform

Sarvam AI, meanwhile, is taking a complementary approach. With the launch of Sarvam Kaze, the startup is bringing its AI models "into your hands with our devices – designed and built here in India". Founder Pratyush Kumar has confirmed that developers will be able to build custom experiences for the device using the
contd..

Read the complete article:
https://cionlabs.com/the-developer-ecosystem-opportunity-building-indias-app-store-for-smart-glasses/

26/02/2026

Beyond the Field Force: How AI Smart Glasses Will Transform India's Distributed Workforce

For decades, the productivity paradox of India's workforce has been this: the tools we use to make work more efficient - laptops, smartphones, apps - were designed for people who sit at desks. Yet, India does not work at desks. India works on factory floors, in warehouses, on delivery routes, in hospital wards, and across millions of retail counters. It works on the move. And until now, the digital revolution has largely passed this distributed workforce by.

That is changing. AI smart glasses are emerging as the first productivity tools designed not for the desk, but for the hands-busy, eyes-up, on-the-go reality of how most Indians actually work. What began as a novelty for early adopters is now becoming an enterprise-grade solution with the potential to transform productivity across India's core industries.

For the CEO, COO, and Chief Digital Officer, this is not a consumer gadget story. It is a story about radical operational efficiency, workforce empowerment, and competitive advantage in a market where margins are won or lost on the front lines.

The Mobile-First Paradox: Why Phones Fail the Distributed Worker

India's workforce is among the most mobile in the world. From sales representatives covering vast territories to logistics workers managing thousands of deliveries, from warehouse pickers to field maintenance technicians, the common denominator is constant motion.

Yet the tools we give them - smartphones, tablets, handheld scanners - demand the opposite: stopping, looking down, tapping, scrolling. Every time a worker reaches for a phone, they break focus. They stop moving. They introduce friction into what should be a seamless workflow. In safety-critical environments like factory floors or construction sites, that friction can be dangerous.

AI smart glasses solve this by delivering information where it belongs: in the worker's field of view, hands-free, and contextually triggered. They don't replace the smartphone; they make it irrelevant for work tasks.

The Field Sales Transformation: KYC on the Move

Consider the field sales representative—a ubiquitous figure in India's consumer goods, insurance, and financial services industries. Their day involves visiting dozens of customers, documenting interactions, capturing forms, and answering queries. Traditionally, this meant juggling a phone, a notepad, and a stack of documents.

Sarvam AI, the Bengaluru-based startup behind India's sovereign AI models, recently demonstrated a radically different approach. At the India AI Impact Summit 2026, co-founder Pratyush Kumar illustrated the potential with a simple scenario: a sales representative doing KYC for a customer.

"Imagine a sales guy walking around doing KYC… he just clicks this ring and asks a question about an insurance policy and gets an answer," Kumar explained. The representative never reaches for a phone. Never breaks eye contact with the customer. Never stops the flow of conversation.

This is not speculative. Sarvam's AI-powered smart glasses, Sarvam Kaze, are scheduled to launch in May 2026, designed and built entirely in India. Prime Minister Narendra Modi bec
contd..

Read the complete article:
https://cionlabs.com/beyond-the-field-force-how-ai-smart-glasses-will-transform-indias-distributed-workforce/

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