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AI-powered personal financial advisor for understanding, planning, and achieving financial goals. Tendi is an AI-powered personal financial advisor designed to help users understand, plan, and achieve their financial goals. It analyzes financial habits, provides personalized insights, and offers actionable strategies for managing debt, saving, and investing. Tendi connects to over 12,000 financial institutions and uses a Financial Health Index (FHI) to measure overall financial well-being.

AI model serving and orchestration platform for deploying and managing AI workloads. UbiOps is a platform designed for powerful model serving and orchestration for AI & ML projects, eliminating the complexities of managing Kubernetes and cloud infrastructure. It offers a single interface to run AI workloads locally, in a hybrid cloud, or across multiple clouds. UbiOps simplifies AI production, enabling users to deploy models instantly into fully functional AI applications, from LLMs to computer vision and traditional data science models. It provides built-in MLOps and orchestration features, including API management, version control, scaling algorithms, monitoring, auditing, resource prioritization, security, and access management.

Platform to fine-tune AI models with user data for image generation. TheFluxTrain is a platform that allows users to fine-tune AI models with their own data to generate images of people, products, fashion, and more. It enables users to train AI models on their own images to create images of the same person, product, or character in different settings, poses, and lighting conditions.

Variational AI uses generative AI for drug discovery, partnering with biopharmaceutical companies. Variational AI is a company that uses advanced generative AI for drug discovery. They collaborate with biopharmaceutical partners to develop new therapeutics across various disease areas, aiming to positively impact lives. Their Enki™ Platform is a commercially accessible foundation model for small molecules, trained on a vast amount of experimental data. They focus on creating novel and selective lead structures quickly, without requiring initial data, by defining the Target Product Profile (TPP).

World's fastest AI inference provider powered by purpose-built ASICs. General Compute is a high-performance AI inference infrastructure provider built on purpose-built ASICs instead of traditional GPUs. Designed specifically for running large language models and machine learning workloads, it offers ultra-fast inference speeds reaching up to 1,000 tokens per second, sub-millisecond Time to First Token (TTFT), and high throughput. It provides an OpenAI-compatible REST API, allowing developers to seamlessly swap their inference provider by simply changing the base URL and API key. Additionally, the platform operates on highly energy-efficient, air-cooled hardware that significantly reduces infrastructure power consumption and operational costs compared to standard GPU cloud environments.