Mento VC

Tella HQ Inc. is a company based in Amsterdam, Netherlands, that operates a collaborative online video editing platform focused on screen and camera recordings. Founded in 2020, Tella provides tools for remote teams to record, edit, and share video presentations directly from their web browsers. The platform is designed to facilitate the creation of engaging content, including product demos, video blogs, and newsletters, allowing users to produce informative recordings that captivate their audience.

AvatarOS is a technology company specializing in the development of advanced, lifelike digital avatars. Their core business involves creating interactive human avatars that mimic real-life movements and expressions, enabling creators, studios, and brands to engage audiences dynamically and across various platforms. By harnessing the power of artificial intelligence, AvatarOS aims to bridge the gap between human individuality and digital interaction, enhancing the authenticity of virtual experiences.

Final Round AI is a technology company that leverages artificial intelligence to enhance the job search process. Its core product, an Interview Copilot platform, provides job candidates with real-time conversational intelligence, enabling them to prepare effectively for interviews. The platform offers tools like AI-driven mock interviews, interview Q&A flashcards, and resume and cover letter builder, helping candidates identify areas for improvement, refine their interview skills, and ultimately, excel in their career pursuits.

Kodezi is an AI-assisted development tool designed to enhance programming efficiency by automatically correcting code. The platform functions similarly to Grammarly but is tailored specifically for programmers, aiming to significantly increase productivity in coding and debugging. Kodezi integrates a custom-trained artificial intelligence engine within the browser and development environment extensions, providing developers with a comprehensive suite of tools to assist with their programming tasks. The company is focused on streamlining the coding process and addressing common challenges faced by programmers.

Brix is an AI-driven platform designed to streamline the hiring process for developers and optimize team productivity. The software automates the hiring, management, and onboarding of employees, facilitating connections between global tech companies and a diverse pool of contractors, freelancers, and project leaders. By leveraging artificial intelligence, Brix enhances workforce optimization for both project-based and long-term positions, ensuring businesses can maintain productivity and flexibility in a hybrid working environment.

Autonomous AI agent that runs expert-level B2B blog to generate leads

Artisan AI specializes in creating digital workers, known as Artisans, to automate sales processes. Their first Artisan, Ava, handles the entire outbound sales process, from initial contact to scheduling meetings. Ava uses a database of over 270 million contacts to craft personalized email sequences and can be easily set up and managed via Slack. By automating repetitive tasks, Artisan AI allows sales teams to focus on high-value prospects and relationships.

Clerk Chat is a developer of communication software that specializes in reliable business text messaging. The company offers an application that enables users to send text messages to contacts via desktop or mobile devices. This functionality allows organizations to enhance their engagement with leads and streamline customer support, operations, and sales communications. By facilitating efficient interaction, Clerk Chat helps clients reduce the time required to qualify leads, thereby improving overall business productivity.

Telescope Analytics is a software development firm that uses advanced machine learning for data points mining.

Openlayer is an analysis platform that enhances the transparency and reliability of machine learning models by detecting and addressing failure patterns and biases. It provides a debugging workspace that enables developers to filter through model predictions, swiftly identifying common failures and challenging edge cases. This functionality allows users to effectively track and version models and datasets, fostering a collaborative environment where teams can focus on developing production-ready models. Openlayer aims to improve the overall robustness and trustworthiness of machine learning applications by streamlining the model evaluation process.