Sequoia India’s Surge backs AI-powered video creation platform Gan ai in $5.2M funding

Moreover, they recognize that success in data science comes from building a new organizational capability, not just buying some over-hyped AI tool. In 2014, Ian Goodfellow proposed the GAN after dreaming up the idea of pitting a neural network against another. GANs gifted computers with the ability to create hyper-realistic images, such as those images of Yakov Livshits people who don’t exist. In 2017, the Google Brain team introduced a revolutionary transformer architecture for language in Attention is All You Need, outperforming RNN. This is because RNN processes sentences word by word while transformers process sentences together, allowing transformers to remember the context better when generating long paragraphs.

Alphabet Inc (GOOGL.O) and Microsoft Corp’s (MSFT.O) rapid push on AI and the billions of dollars they are spending to gain an edge have heightened competition in Silicon Valley. Startups in the space are pulling in offers from investors to take on their Big Tech peers and are closing deals in several days instead of weeks. In June, US-based software unicorn Databricks announced its purchase of OpenAI competitor MosaicML for US$1.3 billion, a purchase price that jumped six times since its last price-round valuation of US$222 million. This price tag illustrates not only the intense demand for GenAI tech, but also the value of the talent needed to power it, as the deal values each of MosaicML’s 62 employees at US$21 million. French AI startup Mistral, meanwhile, was just four weeks old when it raised US$113 million in seed funding led by California-based VC firm Lightspeed Venture Partners.

In the News: WellSaid Included in Sequoia Capital Generative AI Market Map

Stability AI is, like Mistral, building its own LLM, which is called Stable LM and was released earlier this year. The company also funded the training of Stable Diffusion, one of the best-known text-to-image models that serves as an open source alternative to OpenAI’s Dall-E and US-based Midjourney. Stability burst onto the scene with a $101m investment round led by Lightspeed and Coatue in October 2022 at a $1bn valuation. An enlightening survey conducted by Sequoia Capital has unveiled the widespread adoption of AI and large language models (LLMs) in various companies across their network. From small startups to large enterprises, 33 companies were interviewed to gain insights into their utilization of LLMs and the emerging stacks that accompany them. So they strive to assist businesses and organizations in addressing problems related to analyzing and processing audio data and offer solutions for automatic transcription, speech summarization, speaker identification, and much more.

A stellar UX leaves an unforgettable impression on users, creating an emotional investment that keeps them committed to your product, even when it lacks a few wished-for features. On the other hand, a confusing onboarding experience or a difficult-to-use feature can drive users to disengage, no matter how feature-rich your product is. Network effects refer to the principle where the value of a product grows as more users join and interact with it.

She’s bullish on generative AI given the “superpowers” it gives humans who work with it.

He has previously worked at MIT Technology Review, Gizmodo, and New Scientist, and has held lectureships at the University of Oxford and Imperial College London. He also holds a doctorate in engineering from the University of Oxford. That kind of analysis would not be feasible, you wouldn’t even be able to do that for most companies, on their own premises. So some of these workloads just become better, become very powerful cost-savings mechanisms, really only possible with advanced analytics that you can run in the cloud. But every customer is welcome to purely “pay by the drink” and to use our services completely on demand.

Yakov Livshits
Founder of the DevEducation project
A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.

Early-stage investment into Generative AI startups has shown a steady increase since 2016, with acceleration from 2020 onward. However, figures will likely rise slightly due to some reporting lag on smaller rounds. Generative AI startups are showing a significant premium in their Seed and Series A rounds. In particular, the median Series A round size is 2x that of other startups. Throughout any company, the Human Resources (HR) department plays a crucial role because, for every company, it’s critical to hire the appropriate… The market for generative AI is rapidly expanding, driven by its wide-ranging applications across various sectors, including entertainment, healthcare, manufacturing, and more.

Discovery and intake are good fits for generative AI, which can access unstructured data to reduce search friction and help patients find the right provider more easily. It overcomes the buyers’ “poverty trap” by delivering large Yakov Livshits and immediate value, while maintaining robustness to unstructured data and operating environments. Its novelty factor and recognizable impact help to galvanize buyers, especially those who hope to appear innovative among peers.

The startup was recently inducted into Stanford University’s prestigious StartX cohort in 2023. In just two years after its launch, Gan.ai boasts a global customer base that includes brands such as Samsung, Zomato, vivo and gaming platform Mobile Premier League. We’ve worked with some of the largest companies in the world to create buzz, connect with investors, and grow a digital community.

We see a lot of customers actually leaning into their cloud journeys during these uncertain economic times. But cost-cutting is a reality for many customers given the worldwide economic turmoil, and AWS has seen an increase in customers looking to control their cloud spending. AWS now has more than 200 services, and Selispky said it’s not done building.