How this VC evaluates generative AI startups

Tavus, founded in 2020, is a generative AI company that creates new versions of videos users create based on specific viewer qualities and other personalizations. Kaliber focuses on developing AI-powered surgical software for arthroscopic surgery needs. The company also provides solutions to help patients and other members of the surgical team get the information they need more seamlessly. Synthesia is a generative AI company that focuses on video creation for personal and enterprise use. Users can rely on AI avatars and voices to communicate in training, marketing, and how-to videos in 120 different languages. Charisma provides a plug-and-play platform for various entertainment companies and storytellers to create realistic characters and storylines that adjust to player/user inputs.

In August, IBM began heavily marketing WatsonX, its enterprise-focused AI and data platform. An update to Windows 11 earlier this year integrated the chatbot into the operating system’s search bar, allowing users to query the Bing chatbot directly. As of early August, Bing AI is available in specific browsers as well; in addition to Microsoft’s own Edge browser, users of Chrome in Windows and Safari on MacOS now have access to the chatbot. Microsoft plans to bring the product to third-party browsers on desktop and mobile as well. While generative AI is certainly transforming the workplace and work habits of millions across the world, it is ultimately a tool that can greatly augment human capabilities.

Generative AI For Productivity

A strong bench of certified AI experts and a proven track record of well-architected solutions helped InData Labs make it to the top 10 AI software companies in the Global Clutch Leaders Matrix. SoluLab takes a comprehensive approach to client projects, integrating the latest resources, technology stacks, and agile practices. By evaluating the impact on business processes and workforce involvement, SoluLab customizes AI solutions to align with specific business operations. The name itself represents the work function of these modern AIs; generative here means nothing but the AI that can generate data, mainly in the form of text, images, audio or video files, or any other media. Openxcell utilizes the latest grade tech stack, toolkits, and modern AI development practices to develop business-specific generative AIs on top of various models and architectures.

A notorious example of this technology includes deepfake, a portmanteau of “deep learning” and “fake,” where a synthetically created video or image imitates the appearance and/or sound of a real person (often a public figure). Although deepfake has a lot of buzz right now due to its contentious nature, there are positive applications of deep learning technology and other forms of generative AI. Renowned for its GPT-3 and GPT-4 large language models, and Dall E image generation model, OpenAI has delivered unprecedented advances in generative AI. GPT-n models are capable of creating human-like text, making it a top choice for businesses seeking foundation models for their AI applications.

OpenAI

Top-of-funnel growth has been amazing, but it’s unclear if current customer acquisition strategies will be scalable — we’re already seeing paid acquisition efficacy and retention start to tail off. Many apps are also relatively undifferentiated, since they rely on similar underlying AI models and haven’t discovered obvious network effects, or data/workflows, that are hard for competitors to duplicate. “The company’s marquee products of Driverless AI, Hydrogen Torch and Document AI have transformed over 20,000 global organizations, millions of data scientists and over half of the Fortune 500.” In an interview with FOX Business, Joe Endoso, COO at the principal investment platform Linqto, said “Anthropic is an AI safety and research company that’s working to build reliable, interpretable and steerable AI systems. According to experts interviewed by FOX Business, the emerging supply line behind these tech giants will not only create a resourced foundation for the industry but a streamline of new companies traded on public markets.

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.

Companies can increase customer loyalty, engagement, and conversion rates by exploiting the vast potential of AI to produce personalized and customized content for various consumer segments. Briink is building AI infrastructure to help sustainable finance workers understand ESG, providing advice on ESG data and reporting systems. 2023 is already a record year for investment in generative AI startups, with equity funding topping $14.1B across 86 deals, as of Q2’23. We break down the generative AI landscape across funding trends, top-valued startups, most active VCs, and more. It also uses in-house generative AI models to highlight action items from the sales calls.

In the digital age, corporations face immense pressure to create large volumes of content for marketing, training, internal communication, and many other purposes. This can be resource-intensive and time-consuming, especially when there’s a constant need Yakov Livshits for content updates and optimization. Generative AI revolutionizes this process, enabling the automation and scaling of content creation. It can quickly create and adapt content for various platforms and audiences, freeing up time for other tasks.

• Some of these companies have had a meteoric launch, releasing several different products and generating millions of dollars in funding.
• This US-based startup promises to be your business’ new marketing assistant by leveraging generative AI to create engaging digital content.
• According to technology and business magazine e-Week, in addition to ChatGPT creator OpenAI, some of the other leading generative AI startups include Hugging Face, Synthesis AI, Jasper and Cohere.
• Their AI models offer capabilities such as content generation, summarization, and search at a massive scale.

We’re pairing proven drug developers with the industry’s most advanced small molecule discovery platform, to accelerate and optimize the development of new medicines. Usable in over 60 languages and mainly for company training videos, it aims at saving businesses money on both professional speakers and camera equipment. The company created a document summarization platform, where users can input large bodies of text from books and academic articles.

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DeepSearch Labs builds customised and intelligent search engines for a wide range of industries. By automatically sourcing, categorising and refining data from across the web, its platform provides comprehensive reports, identifies trends and predicts the future impact of specific data. Its product has been able to cut down the time needed for research by as much as 40%, according to the startup, freeing up teams to focus on more productive tasks. In June, the company acquired MosaicML, a startup enabling businesses to make their AI models.

Synthetaic’s platform, RAIC, is primarily designed to analyze and ingest unstructured and unlabeled datasets from videos, satellite imagery, and video and drone footage. Lightricks first gained notoriety with its social-media-friendly image editing app, Facetune. It has since expanded Facetune and its other apps with cutting-edge AI, making it possible to edit and generate content for videos, photos, and artwork.