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Artificial Intelligence

Cognecto, an AI solution company, raised Rs. 4 Cr in a Seed Round led by Inflection Point Ventures

AI Solution Cognecto raised Rs.4 Cr in a Seed Round led by Inflection Point Ventures. The funds will be used to develop Regenerative Artificial Intelligence technology that is aimed at providing valuable business and operational insights for the mining and construction sectors. This will involve integrating data from existing and highly distributed telematics systems, along with operator inputs through mobile apps and wearable devices, and combining AI to drive smart allocation, routing, and operational and maintenance effectiveness.

The Bengaluru-based startup, Cognecto has made a name for itself in the Indian tech scene with its ground-breaking work in artificial intelligence and machine learning. Rohet Sareen, Head of Business Development, Divyani Singh, Head of Product Development, and Anshul Saxena Chief Technology Officer of Cognecto aim on providing IoT, predictive analytics solutions & managed services related to Heavy equipment. Cognecto is a company that specializes in providing AI-based solutions for the construction industry, specifically in the areas of analytics and managed services. Their solutions cater to a diverse range of construction equipment. Founded in 2020, the startup has quickly become known for its innovative solutions and unique approach to problem-solving.

Cognecto has a global presence on four continents Asia, Europe, Australia, and Africa serves several heavy industries, including mining, aluminum, highways, and logistics. They also connect frontline workers and equipment on a unified platform to provide a comprehensive view of mining and construction operations, enabling businesses to generate valuable analytics. The platform also offers industry-specific key performance indicators (KPIs) and specialized expertise.

Vikram Ramasubramanian, Partner, Inflection Point Ventures, says, “The utilization of AI technology in the mining and construction sector is a significant advantage. These industries require real-time data to optimize time and resources effectively. Cognecto, with its state-of-the-art technology, offers solutions for infrastructural development, making it easier for even the most complex workforce to improve productivity on a large scale. IPV has always been at the forefront of extending support to innovative ideas that enhance productivity and optimize resources to their fullest potential.”.

Rohet Sareen, Head of Business Development, Cognecto, says, “I am thrilled to have IPV Ventures as partner in our journey to revolutionize the mining industry through cutting-edge technology. Their vast experience and guidance have been invaluable in raising this seed round, and we look forward to a successful collaboration. With this funding, we are excited to accelerate the development of our product and bring real-time data analytics to the forefront of mining and construction operations.”

Cognecto has been recognized as a top global startup to watch in the mining sector by StartUs Insights, a key player in equipment monitoring globally by Industry ARC, one of the top 10 most recommended startups by CIO Insider, and one of the top 11 mining startups in Karnataka by Futurology. Additionally, the startup was named one of the most innovative startups by IIT Delhi in 2023. The global market size for the telematics industry is $64.2 billion (2022), with 25% of that market in Asia. The highest growth rate is also observed in Asia in the year 2022-23.

About Cognecto

Cognecto is a deep-tech-centric platform that uses IOT-based edge devices and performs analytics on the huge data received to provide business insights for heavy equipment.
About Inflection Point Ventures & Physis Capital

Inflection Point Ventures (IPV) is an angel investing platform with over 7400 CXOs, HNIs, and Professionals to together invest in startups. The firm supports new-age entrepreneurs by providing them with monetary & experiential capital and connecting them with a diverse group of investors. IPV has announced the launch of a $50 million CAT 2 AIF Physis Capital to invest in pre-Series A to Series B growth-stage start-ups.

by Team SNFYI

Facebook is testing a new feature that invites some users—mainly in the US and Canada—to let Meta AI access parts of their phone’s camera roll. This opt-in “cloud processing” option uploads recent photos and videos to Meta’s servers so the AI can offer personalized suggestions, such as creating collages, highlight reels, or themed memories like birthdays and graduations. It can also generate AI-based edits or restyles of those images. Meta says this is optional and assures users that the uploaded media won’t be used for advertising. However, to enable this, people must agree to let Meta analyze faces, objects, and metadata like time and location. Currently, the company claims these photos won’t be used to train its AI models—but they haven’t completely ruled that out for the future. Typically, only the last 30 days of photos get uploaded, though special or older images might stay on Meta’s servers longer for specific features. Users have the option to disable the feature anytime, which prompts Meta to delete the stored media after 30 days. Privacy experts are concerned that this expands Meta’s reach into private, unpublished images and could eventually feed future AI training. Unlike Google Photos, which explicitly states that user photos won’t train its AI, Meta hasn’t made that commitment yet. For now, this is still a test run for a limited group of people, but it highlights the tension between AI-powered personalization and the need to protect personal data.

by Team SNFYI

News Update Bymridul     |    March 14, 2024 Meesho, an online shopping platform based in Bengaluru, has announced its largest Employee Stock Ownership Plan (ESOP) buyback pool to date, totaling Rs 200 crore. This buyback initiative extends to both current and former employees, providing wealth creation opportunities for approximately 1,700 individuals. Ashish Kumar Singh, Meesho’s Chief Human Resources Officer, emphasized the company’s commitment to rewarding its teams, stating, “At Meesho, our employees are the driving force behind our success.” Singh further highlighted the company’s dedication to providing opportunities for wealth creation despite prevailing macroeconomic conditions. This marks the fourth wealth generation opportunity at Meesho, with the size of the buyback program increasing each year. In previous years, Meesho conducted buybacks worth over Rs 8.2 crore in February 2020, Rs 41.4 crore in November 2020, and Rs 45.5 crore in October 2021. Meesho’s profitability journey began in July 2023, making it the first horizontal Indian e-commerce company to achieve profitability. Despite turning profitable, Meesho continues to maintain positive cash flow and focuses on enhancing efficiencies across various cost items. The company’s revenue from operations for FY 2022-23 witnessed a remarkable growth of 77% over the previous year, amounting to Rs 5,735 crore. This growth can be attributed to Meesho’s leadership position as the most downloaded shopping app in India in both 2022 and 2023, increased transaction frequency among existing customers, and a diversified category mix. Additionally, Meesho’s focus on improving monetization through value-added seller services contributed to its revenue growth. Meesho also disclosed its audited performance for the first half of FY 2023-24, reporting consolidated revenues from operations of Rs 3,521 crore, marking a 37% year-over-year increase. The company achieved profitability in Q2 FY24, with a significant reduction in losses compared to the previous year. Furthermore, Meesho recorded impressive app download numbers, reaching 145 million downloads in India in 2023 and surpassing 500 million downloads in H1 FY 2023-24. Follow Startup Story Source link

by Team SNFYI

You might’ve heard of Grok, X’s answer to OpenAI’s ChatGPT. It’s a chatbot, and, in that sense, behaves as as you’d expect — answering questions about current events, pop culture and so on. But unlike other chatbots, Grok has “a bit of wit,” as X owner Elon Musk puts it, and “a rebellious streak.” Long story short, Grok is willing to speak to topics that are usually off limits to other chatbots, like polarizing political theories and conspiracies. And it’ll use less-than-polite language while doing so — for example, responding to the question “When is it appropriate to listen to Christmas music?” with “Whenever the hell you want.” But Grok’s ostensible biggest selling point is its ability to access real-time X data — an ability no other chatbots have, thanks to X’s decision to gatekeep that data. Ask it “What’s happening in AI today?” and Grok will piece together a response from very recent headlines, while ChatGPT, by contrast, will provide only vague answers that reflect the limits of its training data (and filters on its web access). Earlier this week, Musk pledged that he would open source Grok, without revealing precisely what that meant. So, you’re probably wondering: How does Grok work? What can it do? And how can I access it? You’ve come to the right place. We’ve put together this handy guide to help explain all things Grok. We’ll keep it up to date as Grok changes and evolves. How does Grok work? Grok is the invention of xAI, Elon Musk’s AI startup — a startup reportedly in the process of raising billions in venture capital. (Developing AI’s expensive.) Underpinning Grok is a generative AI model called Grok-1, developed over the course of months on a cluster of “tens of thousands” of GPUs (according to an xAI blog post). To train it, xAI sourced data both from the web (dated up to Q3 2023) and feedback from human assistants that xAI refers to as “AI tutors.” On popular benchmarks, Grok-1 is about as capable as Meta’s open source Llama 2 chatbot model and surpasses OpenAI’s GPT-3.5, xAI claims. Image Credits: xAI Human-guided feedback, or reinforcement learning from human feedback (RLHF), is the way most AI-powered chatbots are fine-tuned these days. RLHF involves training a generative model, then gathering additional information to train a “reward” model and fine-tuning the generative model with the reward model via reinforcement learning. RLHF is quite good at “teaching” models to follow instructions — but not perfect. Like other models, Grok is prone to hallucinating, sometimes offering misinformation and false timelines when asked about news. And these can be severe — like wrongly claiming that the Israel–Palestine conflict reached a ceasefire when it hadn’t. For questions that stretch beyond its knowledge base, Grok leverages “real-time access” to info on X (and from Tesla, according to Bloomberg). And, similar to ChatGPT, the model has internet browsing capabilities, enabling it to search the web for up-to-date information about topics. Musk has promised improvements with the …