<img width="800" height="450" src="https://analyticsindiamag.com/wp-content/uploads/2025/04/Figma-1300x731.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin: auto; margin-bottom: 5px;max-width: 100%;" link_thumbnail="" decoding="async" loading="lazy" srcset="https://analyticsindiamag.com/wp-content/uploads/2025/04/Figma-1300x731.jpg 1300w, https://analyticsindiamag.com/wp-content/uploads/2025/04/Figma-600x338.jpg 600w, https://analyticsindiamag.com/wp-content/uploads/2025/04/Figma-768x432.jpg 768w, https://analyticsindiamag.com/wp-content/uploads/2025/04/Figma-1536x864.jpg 1536w, https://analyticsindiamag.com/wp-content/uploads/2025/04/Figma.jpg 1680w" sizes="auto, (max-width: 800px) 100vw, 800px" />All Figma products are now available in India, including Figma Design, Figma Make, Dev Mode, Figma Sites, FigJam, Figma Slides, Figma Draw, and Figma Buzz.
The post <a href="https://analyticsindiamag.com/ai-news-updates/figma-opens-bengaluru-office-begins-hiring/">Figma Opens Bengaluru Office, Begins Hiring </a> appeared first on <a href="https://analyticsindiamag.com">Analytics India Magazine</a>.

فتحت شركة فيغما مكتبها رسميًا في بنغالور، الهند، وبدأت في التوظيف لمناصب متنوعة. تمثل هذه الخطوة توسعًا هامًا للشركة حيث أصبحت جميع منتجاتها، بما في ذلك فيغما ديزاين وفيغما ميك وغيرها، متاحة الآن في السوق الهندية. من المتوقع أن يعزز هذا التحرك من وجود فيغما في المنطقة ويلبي الطلب المتزايد على أدوات التصميم في الهند، مما يعكس التزام الشركة بالنمو والابتكار على مستوى العالم.

Figma ha abierto oficialmente su oficina en Bengaluru, India, y ha comenzado a contratar para diversas posiciones. Esta expansión marca un paso significativo para la empresa, ya que todos sus productos, incluidos Figma Design, Figma Make y otros, ahora están disponibles en el mercado indio. Se espera que este movimiento mejore la presencia de Figma en la región y atienda la creciente demanda de herramientas de diseño en India, reflejando el compromiso de la empresa con el crecimiento y la innovación global.

Figma a officiellement ouvert son bureau à Bengaluru, en Inde, et a commencé à recruter pour divers postes. Cette expansion représente une étape importante pour l'entreprise, car tous ses produits, y compris Figma Design, Figma Make et d'autres, sont désormais disponibles sur le marché indien. Ce mouvement devrait renforcer la présence de Figma dans la région et répondre à la demande croissante d'outils de conception en Inde, reflétant l'engagement de l'entreprise envers la croissance et l'innovation à l'échelle mondiale.

Figma has officially opened its office in Bengaluru, India, and has commenced hiring for various positions. This expansion marks a significant step for the company as all of its products, including Figma Design, Figma Make, and others, are now available in the Indian market. The move is expected to enhance Figma's presence in the region and cater to the growing demand for design tools in India, reflecting the company's commitment to global growth and innovation.

Figma Opens Bengaluru Office, Begins Hiring

<A HREF="https://fortune.com/2025/11/19/exclusive-doppel-raises-70-million-series-c-at-more-than-600-million-valuation-to-fight-ai-powered-social-engineering-attacks/"><IMG VSPACE="4" HSPACE="4" BORDER="0" ALIGN="RIGHT" SRC="http://www.techmeme.com/251119/i39.jpg"></A>
<A HREF="http://www.techmeme.com/251119/p39#a251119p39" TITLE="Techmeme permalink"><IMG WIDTH=11 HEIGHT=12 SRC="http://www.techmeme.com/img/pml.png" STYLE="border:none;padding:0;margin:0;"></A> Allie Garfinkle / <A HREF="http://www.fortune.com/">Fortune</A>: 
<A HREF="https://fortune.com/2025/11/19/exclusive-doppel-raises-70-million-series-c-at-more-than-600-million-valuation-to-fight-ai-powered-social-engineering-attacks/">Doppel, which makes an AI social engineering detection service, raised a $70M Series C led by Bessemer at a $600M+ valuation, up from $205M in May</A>&nbsp; &mdash;&nbsp; Senior Finance Reporter And Author Of Term Sheet&nbsp; &mdash;&nbsp; I tried to fool my brother, sort of.&nbsp; &mdash;&nbsp; Next to him and his Pekingese on the couch &hellip;

دوبل، وهي شركة متخصصة في خدمات الكشف عن الهندسة الاجتماعية باستخدام الذكاء الاصطناعي، نجحت في جمع 70 مليون دولار في جولة تمويل من السلسلة C بقيادة بيسمر. وقد زادت هذه الجولة من تقييم الشركة إلى أكثر من 600 مليون دولار، ارتفاعًا من 205 مليون دولار في مايو.

Doppel, una empresa que se especializa en servicios de detección de ingeniería social mediante IA, ha recaudado con éxito 70 millones de dólares en una ronda de financiación Serie C liderada por Bessemer. Esta ronda ha elevado la valoración de la empresa a más de 600 millones de dólares, un aumento significativo desde los 205 millones en mayo.

Doppel, une entreprise spécialisée dans les services de détection d'ingénierie sociale par IA, a levé avec succès 70 millions de dollars lors d'un tour de financement de série C dirigé par Bessemer. Ce tour de financement a porté la valorisation de l'entreprise à plus de 600 millions de dollars, contre 205 millions en mai.

Doppel, a company specializing in AI social engineering detection services, has successfully raised $70 million in a Series C funding round led by Bessemer. This funding round has increased the company's valuation to over $600 million, a significant rise from $205 million in May.

Doppel, which makes an AI social engineering detection service, raised a $70M Series C led by Bessemer at a $600M+ valuation, up from $205M in May (Allie Garfinkle/Fortune)

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<a href="https://fetch.ai/">Fetch AI</a>, a startup founded and led by former DeepMind founding investor, Humayun Sheikh, <a href="https://www.businesswire.com/news/home/20251119088395/en/Fetch-Combines-Personalized-AI-with-Multi-Agent-Collaboration-to-Handle-Complex-Consumer-Tasks-Launches-Claim-Your-Agent-to-Fight-Brand-Knock-Offs">today announced the release</a> of three interconnected products designed to provide the trust, coordination, and interoperability needed for large-scale AI agent ecosystems. The launch includes <a href="https://asi1.ai/">ASI:One</a>, a personal-AI orchestration platform; <a href="https://business.fetch.ai/">Fetch Business</a>, a verification and discovery portal for brand agents; and <a href="https://agentverse.ai/?sort=relevancy&amp;page=1&amp;recommended=true">Agentverse</a>, an open directory hosting more than two million agents. Together, the system positions Fetch as an infrastructure provider for what it calls the “Agentic Web”—a layer where consumer AIs and brand AIs collaborate to complete tasks instead of merely suggesting them.The company says the tools address a central limitation in current consumer AI: models can provide recommendations but cannot reliably execute multi-step actions that require coordination across businesses. Fetch’s approach centers on enabling agents from different organizations to interoperate securely, using verified identities and shared context to complete end-to-end workflows.“We’re creating the same foundation for agents that Google created for websites,” said Humayun Sheikh, Founder and CEO of Fetch AI, and an early investor in DeepMind, in a press release provided to VentureBeat. “Instead of just finding information, your personal AI coordinates with verified brand agents to get things done.”<h2>Background: Fetch’s Founding and DeepMind Connection </h2>Fetch AI was founded in 2017 by Humayun Sheikh, an entrepreneur whose early investment in DeepMind helped support the company’s commercial development before its acquisition by Google. “I was one of the first five people at DeepMind and its first investor. My check was the first one in,” Sheikh said, reflecting on the period when advanced machine learning research was still largely inaccessible outside major technology companies.His early experience helped shape Fetch’s direction. “Even in 2013, it was clear to me that agentic systems were going to be the ones that worked. That’s where I focused—on the agentic web,” Sheikh noted. Fetch built on this thesis by developing infrastructure for autonomous software agents, focusing on verifiable identity, secure data exchange, and multi-agent coordination. Over the past several years, the company has expanded to a 70-person team across Cambridge and Menlo Park, raised approximately $60 million, and accumulated more than one million users interacting with its model—data that informed the design of the newly launched products.Sheikh added that his decision to bootstrap the company initially came directly from the proceeds of the DeepMind exit, noting in the interview that while the sale to Google was “a good exit,” he believed the team could have held out for a higher valuation. The early self-funding period allowed Fetch to begin work in 2015—well before transformer architectures went mainstream—on the hypothesis that agentic infrastructure would become foundational to applied AI.<h2>ASI:One — A Platform for Multi-Agent Orchestration</h2>At the core of the launch is ASI:One, a language model interface designed specifically for coordinating multiple agents rather than addressing isolated queries. Fetch describes it as an “intelligence layer” that handles context sharing, task routing, and preference modeling.The system stores user-level signals such as favored airlines, dietary constraints, budget ranges, loyalty program identifiers, and calendar availability. When a user requests a complex task—such as planning a trip with flights, hotels, and restaurant reservations—ASI:One retrieves those preferences and delegates work to the appropriate verified agents. The agents then return actionable outputs, including inventory and booking options, rather than generic recommendations.In practice, ASI:One functions as a workflow generator across organizational boundaries. By contrast with conventional LLM applications, which often rely on APIs or RAG techniques to surface information, ASI:One is built to coordinate autonomous agents that can complete transactions. Fetch notes that personalization improves over time as the model accumulates structured preference data.Sheikh emphasized the distinction between orchestrated execution and traditional AI output. “This isn’t searching for options separately and hoping they work together,” he said. “It’s orchestration.” He added that Fetch’s architecture is intentionally modular: “Our architecture is a mix of agentic and expert models. One large model isn’t enough—you need specialists. That’s why we built ASI1, tuned specifically for agentic systems.”The interview also revealed new details about ASI:One’s personalization systems: the platform uses multiple user-owned knowledge graphs to store preferences, travel history, social connections, and contextual constraints. These knowledge graphs are siloed per user and not co-mingled with any Fetch-operated data. Sheikh described this as a “deterministic backbone” that gives the personal AI a stable memory layer beyond the probabilistic output of a single large model.ASI:One launches in Beta today, with a broader release planned for early 2026. Fetch also offers ASI:One Mobile, released earlier this year, giving users access to the same agent-orchestration capabilities on iOS and Android. The mobile app connects directly to Agentverse and the user’s knowledge graphs, enabling on-the-go task execution and real-time interaction with registered agents.<h2>Fetch Business — Verified Identity and Brand Control</h2>To enable reliable coordination between consumers and companies, Fetch is introducing a verification and discovery portal called Fetch Business. The platform allows organizations to verify their identity and claim an official Brand Agent handle—for example, @Hilton or @Nike—regardless of which tools they use to build the underlying agent.Fetch positions the product as an analogue to ICANN domain registration and SSL certificate systems for websites. Verified status is intended to protect consumers from interacting with counterfeit or untrusted agents, a problem the company describes as a major barrier to widespread agent adoption.The system includes low-code tools for small businesses to create agents in a few steps and connect real-time APIs such as inventory, booking systems, or CRM platforms. “With Fetch, you can create an agent in one minute. It gets a handle, like a Twitter username, and you can personalize it completely—even give it your social media permissions to post on your behalf,” Sheikh said. Once a brand claims its namespace, its agent becomes discoverable to consumer AIs and other agents inside Agentverse.The company has pre-reserved thousands of brand namespaces in anticipation of demand. Verification status persists across any platform that integrates with Agentverse, creating a portable identity layer for business agents.The interview highlighted that Fetch Business inherits web-trust primitives directly: domain owners verify their identity by inserting a short code snippet into their existing website backend, allowing the system to pass a cryptographic challenge and grant the agent an authenticity badge similar to a “blue check” for agent identities. Sheikh framed this as “reusing the trust layer the web already spent decades building.”Companies can begin claiming agents now at <a href="https://business.fetch.ai/">business.fetch.ai</a>.<h2>Agentverse — An Open Directory of More Than Two Million Agents</h2>The final component of the release is <a href="https://agentverse.ai/">Agentverse</a>, an open directory and cloud platform that hosts agents and enables cross-ecosystem discoverability. Fetch states that millions of agents have already registered, spanning travel, retail, entertainment, food service, and enterprise categories.Agentverse provides metadata, capability descriptions, and routing logic that ASI:One uses to identify appropriate agents for specific tasks. It also supports secure communication and data exchange between agents. The company notes that the directory is platform-agnostic: agents built with any framework can join and interoperate.According to Sheikh, the lack of a discovery layer is one reason most AI agents see little or no usage. “Ninety percent of AI agents never get used because there’s no discovery layer,” he said. He framed the role of Agentverse in more technical terms: “Right now, if you build an agent, there’s no universal way for others to discover it. That’s what AgentVerse solves—it’s like DNS for agents.” He also described the system as an essential component of the emerging agent economy: “Fetch is building the Google of agents. Just like websites needed search, agents need discovery, trust, and interaction—Fetch provides all of that.”The interview further underscored that Agentverse is cloud-agnostic by design. Sheikh contrasted this with competing agent ecosystems tied to specific cloud providers, arguing that a universal registry is only viable if independent of proprietary cloud environments. He said the open architecture enables an LLM to query any agent “within one minute of deployment,” turning agent publication into a near-instantaneous process similar to registering a domain.Agentverse also integrates payment pathways, enabling agents to execute purchases using partners such as Visa, Skyfire, and supported stablecoins. Consumers can configure spending limits or require explicit approval for transactions.<h2>Industry Context and Implications</h2>Fetch’s launch comes at a time when consumer AI platforms are exploring the shift from static chat interfaces toward autonomous agents capable of completing actions. However, most agent systems remain limited by siloed architectures, limited interoperability, and weak verification standards.Fetch positions its infrastructure as a response to these limitations by providing a cross-platform coordination layer, identity system, and directory service. The company argues that an agent ecosystem requires consistent verification mechanisms to ensure that consumers interact with authentic brand representatives rather than imitations. By establishing namespace control and portable trust indicators, Fetch Business aims to fill a gap similar to early web domain verification.At the same time, ASI:One attempts to centralize user preference data in a way that enables more efficient personalization and multi-agent coordination. This approach differs from generalist LLM applications, which often lack persistent preference architectures or direct access to brand-controlled agents.The interview also made clear that micropayments and digital transaction infrastructure are central to Fetch’s long-term vision. Sheikh referenced integrations with protocols such as Coinbase’s 402 and AP2, positioning these capabilities as essential for autonomous agents to complete end-to-end tasks that include financial execution.<h2>Takeaway</h2>Fetch’s combined release of ASI:One, Fetch Business, and Agentverse introduces an interconnected stack designed to support large-scale deployment and usage of AI agents. The company frames the system as foundational infrastructure for an agentic ecosystem, where consumer AIs can coordinate with verified brand agents to complete tasks reliably and securely. The additions to its identity, discovery, and orchestration layers reflect Fetch’s long-standing thesis—rooted partly in lessons from DeepMind’s early development—that intelligence becomes meaningful only when paired with the capacity to act.

أطلقت شركة Fetch AI، وهي شركة ناشئة يقودها هميون شيخ، ثلاثة منتجات مترابطة تهدف إلى تعزيز نظام وكلاء الذكاء الاصطناعي. تشمل العروض الجديدة ASI:One، وهي منصة تنسيق ذكاء اصطناعي شخصي، وFetch Business، وهو بوابة للتحقق والاكتشاف لوكلاء العلامات التجارية، وAgentverse، وهو دليل مفتوح يضم أكثر من مليوني وكيل. تسعى هذه المبادرة إلى إنشاء بنية تحتية قوية لما تصفه Fetch بـ 'الويب الوكالي.'

Fetch AI, una startup dirigida por Humayun Sheikh, ha lanzado tres productos interconectados destinados a mejorar el ecosistema de agentes de IA. Las nuevas ofertas incluyen ASI:One, una plataforma de orquestación de IA personal, Fetch Business, un portal de verificación y descubrimiento para agentes de marca, y Agentverse, un directorio abierto con más de dos millones de agentes. Esta iniciativa busca establecer una infraestructura sólida para lo que Fetch describe como la 'Web Agente.'

Fetch AI, une startup dirigée par Humayun Sheikh, a lancé trois produits interconnectés visant à améliorer l'écosystème des agents IA. Les nouvelles offres comprennent ASI:One, une plateforme d'orchestration d'IA personnelle, Fetch Business, un portail de vérification et de découverte pour les agents de marque, et Agentverse, un annuaire ouvert avec plus de deux millions d'agents. Cette initiative vise à établir une infrastructure robuste pour ce que Fetch décrit comme le 'Web Agentique.'

Fetch AI, a startup led by Humayun Sheikh, has launched three interconnected products aimed at enhancing the ecosystem of AI agents. The new offerings include ASI:One, a personal-AI orchestration platform, Fetch Business, a verification and discovery portal for brand agents, and Agentverse, an open directory with over two million agents. This initiative seeks to establish a robust infrastructure for what Fetch describes as the 'Agentic Web.'

The Google Search of AI agents? Fetch launches ASI:One and Business tier for new era of non-human web

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arXiv:2511.11152v1 Announce Type: new 
Abstract: Deep learning models for precipitation forecasting often function as black boxes, limiting their adoption in real-world weather prediction. To enhance transparency while maintaining accuracy, we developed an interpretable deep learning framework for short-term precipitation prediction in four major Indian cities: Bengaluru, Mumbai, Delhi, and Kolkata, spanning diverse climate zones. We implemented a hybrid Time-Distributed CNN-ConvLSTM (Convolutional Neural Network-Long Short-Term Memory) architecture, trained on multi-decadal ERA5 reanalysis data. The architecture was optimized for each city with a different number of convolutional filters: Bengaluru (32), Mumbai and Delhi (64), and Kolkata (128). The models achieved root mean square error (RMSE) values of 0.21 mm/day (Bengaluru), 0.52 mm/day (Mumbai), 0.48 mm/day (Delhi), and 1.80 mm/day (Kolkata). Through interpretability analysis using permutation importance, Gradient-weighted Class Activation Mapping (Grad-CAM), temporal occlusion, and counterfactual perturbation, we identified distinct patterns in the model's behavior. The model relied on city-specific variables, with prediction horizons ranging from one day for Bengaluru to five days for Kolkata. This study demonstrates how explainable AI (xAI) can provide accurate forecasts and transparent insights into precipitation patterns in diverse urban environments.

تقدم دراسة جديدة إطارًا للتعلم العميق لتوقع هطول الأمطار على المدى القصير في مدن بنغالورو ومومباي ودلهي وكولكاتا، باستخدام بنية هجينة من CNN-ConvLSTM. تم تدريب هذا النموذج على بيانات إعادة تحليل ERA5 على مدى عقود، ويهدف إلى تعزيز الشفافية في توقعات الطقس. حققت النماذج قيم خطأ جذر متوسط مربع (RMSE) متفاوتة: 0.21 مم/يوم لبنغالورو، 0.52 مم/يوم لمومباي، 0.48 مم/يوم لدلهي، و1.80 مم/يوم لكولكاتا. يركز هذا النهج على الذكاء الاصطناعي القابل للتفسير لتحسين فهم أنماط هطول الأمطار.

Un nuevo estudio presenta un marco de aprendizaje profundo para la predicción de precipitaciones a corto plazo en Bengaluru, Mumbai, Delhi y Kolkata, utilizando una arquitectura híbrida CNN-ConvLSTM. Este modelo, entrenado con datos de reanálisis ERA5 de varias décadas, busca mejorar la transparencia en la predicción meteorológica. Los modelos lograron diferentes valores de error cuadrático medio (RMSE): 0.21 mm/día para Bengaluru, 0.52 mm/día para Mumbai, 0.48 mm/día para Delhi y 1.80 mm/día para Kolkata. El enfoque enfatiza la IA explicable para mejorar la comprensión de los patrones de precipitación.

Une nouvelle étude présente un cadre d'apprentissage profond pour la prévision des précipitations à court terme dans les villes de Bengaluru, Mumbai, Delhi et Kolkata, utilisant une architecture hybride CNN-ConvLSTM. Ce modèle, entraîné sur des données de réanalyse ERA5 sur plusieurs décennies, vise à améliorer la transparence des prévisions météorologiques. Les modèles ont atteint des valeurs d'erreur quadratique moyenne (RMSE) variant : 0,21 mm/jour pour Bengaluru, 0,52 mm/jour pour Mumbai, 0,48 mm/jour pour Delhi et 1,80 mm/jour pour Kolkata. L'approche met l'accent sur l'IA explicable pour améliorer la compréhension des schémas de précipitations.

A new study presents a deep learning framework for short-term precipitation prediction in Bengaluru, Mumbai, Delhi, and Kolkata, utilizing a hybrid CNN-ConvLSTM architecture. This model, trained on multi-decadal ERA5 reanalysis data, aims to enhance transparency in weather forecasting. The models achieved varying root mean square error (RMSE) values: 0.21 mm/day for Bengaluru, 0.52 mm/day for Mumbai, 0.48 mm/day for Delhi, and 1.80 mm/day for Kolkata. The approach emphasizes explainable AI to improve understanding of precipitation patterns.

Deep Learning for Short-Term Precipitation Prediction in Four Major Indian Cities: A ConvLSTM Approach with Explainable AI

<img width="800" height="450" src="https://analyticsindiamag.com/wp-content/uploads/2025/11/grahaa-1300x731.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin: auto; margin-bottom: 5px;max-width: 100%;" link_thumbnail="" decoding="async" fetchpriority="high" srcset="https://analyticsindiamag.com/wp-content/uploads/2025/11/grahaa-1300x731.jpg 1300w, https://analyticsindiamag.com/wp-content/uploads/2025/11/grahaa-768x432.jpg 768w, https://analyticsindiamag.com/wp-content/uploads/2025/11/grahaa-1536x864.jpg 1536w, https://analyticsindiamag.com/wp-content/uploads/2025/11/grahaa-2048x1152.jpg 2048w" sizes="(max-width: 800px) 100vw, 800px" />The company said its subsequent missions are planned for early 2026 with Skyroot Aerospace.
The post <a href="https://analyticsindiamag.com/ai-news-updates/bengalurus-grahaa-space-prepares-to-launch-nano-satellite-by-november-end/">Bengaluru’s Grahaa Space Prepares to Launch Nano Satellite by November End</a> appeared first on <a href="https://analyticsindiamag.com">Analytics India Magazine</a>.

تستعد شركة Grahaa Space، التي تتخذ من بنغالور مقراً لها، لإطلاق قمر صناعي نانو بحلول نهاية نوفمبر 2025. وقد أعلنت الشركة عن خطط لمهام لاحقة في أوائل عام 2026 بالتعاون مع Skyroot Aerospace، مما يمثل خطوة مهمة في قطاع التكنولوجيا الفضائية المتنامي في الهند.

Grahaa Space, con sede en Bengaluru, se prepara para lanzar un nano satélite a finales de noviembre de 2025. La empresa ha anunciado planes para misiones posteriores a principios de 2026 en colaboración con Skyroot Aerospace, marcando un paso significativo en el creciente sector de tecnología espacial de India.

Grahaa Space, basé à Bengaluru, prévoit de lancer un nano satellite d'ici la fin novembre 2025. L'entreprise a annoncé des missions ultérieures pour début 2026 en collaboration avec Skyroot Aerospace, marquant une étape significative dans le secteur technologique spatial en Inde.

Grahaa Space, based in Bengaluru, is set to launch a nano satellite by the end of November 2025. The company has announced plans for subsequent missions in early 2026 in collaboration with Skyroot Aerospace, marking a significant step in India's growing space technology sector.

Bengaluru’s Grahaa Space Prepares to Launch Nano Satellite by November End

<img width="800" height="450" src="https://analyticsindiamag.com/wp-content/uploads/2025/11/andhra-flying-wedge-1300x731.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin: auto; margin-bottom: 5px;max-width: 100%;" link_thumbnail="" decoding="async" loading="lazy" srcset="https://analyticsindiamag.com/wp-content/uploads/2025/11/andhra-flying-wedge-1300x731.jpg 1300w, https://analyticsindiamag.com/wp-content/uploads/2025/11/andhra-flying-wedge-768x432.jpg 768w, https://analyticsindiamag.com/wp-content/uploads/2025/11/andhra-flying-wedge-1536x864.jpg 1536w, https://analyticsindiamag.com/wp-content/uploads/2025/11/andhra-flying-wedge-2048x1152.jpg 2048w" sizes="auto, (max-width: 800px) 100vw, 800px" />The agreement outlines an investment of about ₹1,169 crore and aims to create more than 1,000 jobs.
The post <a href="https://analyticsindiamag.com/ai-news-updates/flying-wedge-defence-signs-mou-with-ap-govt-to-build-autonomous-aircraft-hub/">Flying Wedge Defence Signs MoU with AP Govt to Build Autonomous Aircraft Hub</a> appeared first on <a href="https://analyticsindiamag.com">Analytics India Magazine</a>.

وقعت شركة Flying Wedge Defence مذكرة تفاهم مع حكومة أندرا براديش لإنشاء مركز للطائرات المستقلة. ينص الاتفاق على استثمار يقارب 1,169 كرور روبية ومن المتوقع أن يخلق أكثر من 1,000 وظيفة في المنطقة.

Flying Wedge Defence ha firmado un Memorando de Entendimiento (MoU) con el gobierno de Andhra Pradesh para establecer un centro de aeronaves autónomas. El acuerdo implica una inversión de aproximadamente ₹1,169 crore y se espera que genere más de 1,000 empleos en la región.

Flying Wedge Defence a signé un protocole d'accord (MoU) avec le gouvernement de l'Andhra Pradesh pour établir un hub d'avions autonomes. L'accord prévoit un investissement d'environ ₹1 169 crore et devrait créer plus de 1 000 emplois dans la région.

Flying Wedge Defence has signed a Memorandum of Understanding (MoU) with the Andhra Pradesh government to establish an autonomous aircraft hub. The agreement entails an investment of approximately ₹1,169 crore and is expected to create over 1,000 jobs in the region.

Flying Wedge Defence Signs MoU with AP Govt to Build Autonomous Aircraft Hub

<img width="800" height="450" src="https://analyticsindiamag.com/wp-content/uploads/2025/11/Amit_Why-This-20-Year-Old-Kid-Rejected-YC-1300x731.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="The 20-Year-Old Who Said No to YC" style="display: block; margin: auto; margin-bottom: 5px;max-width: 100%;" link_thumbnail="" decoding="async" loading="lazy" srcset="https://analyticsindiamag.com/wp-content/uploads/2025/11/Amit_Why-This-20-Year-Old-Kid-Rejected-YC-1300x731.jpg 1300w, https://analyticsindiamag.com/wp-content/uploads/2025/11/Amit_Why-This-20-Year-Old-Kid-Rejected-YC-768x432.jpg 768w, https://analyticsindiamag.com/wp-content/uploads/2025/11/Amit_Why-This-20-Year-Old-Kid-Rejected-YC-1536x864.jpg 1536w, https://analyticsindiamag.com/wp-content/uploads/2025/11/Amit_Why-This-20-Year-Old-Kid-Rejected-YC.jpg 1600w" sizes="auto, (max-width: 800px) 100vw, 800px" />“Pessimists sound smart, but optimists make all the money,” said Supermemory founder Dhravya Shah, reacting to claims that Perplexity may flop.
The post <a href="https://analyticsindiamag.com/ai-features/the-20-year-old-who-said-no-to-yc/">The 20-Year-Old Who Said No to YC</a> appeared first on <a href="https://analyticsindiamag.com">Analytics India Magazine</a>.

درافيا شاه، مؤسس شركة سوبر ميموري، جذب الانتباه مؤخرًا برفضه عرضًا من ي كومبيناتور (YC) في سن العشرين. تعكس قرار شاه اتجاهًا متزايدًا بين رواد الأعمال الشباب الذين يفضلون النمو المستقل والابتكار على مسرعات الشركات الناشئة التقليدية. تسلط موقفه الضوء على تحول في نظام الشركات الناشئة، حيث يتم تقدير التفاؤل والرؤى الفريدة بشكل متزايد.

Dhravya Shah, fundador de Supermemory, ha captado la atención recientemente al rechazar una oferta de Y Combinator (YC) a la edad de 20 años. La decisión de Shah refleja una tendencia creciente entre los jóvenes emprendedores que priorizan el crecimiento independiente y la innovación sobre los aceleradores de startups tradicionales. Su postura destaca un cambio en el ecosistema de startups, donde el optimismo y las visiones únicas están ganando cada vez más valor.

Dhravya Shah, fondateur de Supermemory, a récemment fait parler de lui en rejetant une offre de Y Combinator (YC) à l'âge de 20 ans. La décision de Shah reflète une tendance croissante parmi les jeunes entrepreneurs qui privilégient la croissance indépendante et l'innovation plutôt que les accélérateurs de startups traditionnels. Son choix met en lumière un changement dans l'écosystème des startups, où l'optimisme et les visions uniques sont de plus en plus valorisés.

Dhravya Shah, founder of Supermemory, recently made headlines by rejecting an offer from Y Combinator (YC) at the age of 20. Shah's decision reflects a growing trend among young entrepreneurs who prioritize independent growth and innovation over traditional startup accelerators. His stance highlights a shift in the startup ecosystem, where optimism and unique visions are becoming increasingly valued.

Figma Opens Bengaluru Office, Begins Hiring

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