scale-ai

Enterprise-grade AI agent platform automating sales, customer service, HR, and other business processes

Desktop AI assistant for meditation guidance, podcast creation, code analysis, and productivity tasks

AI agent platform supporting content creation, code debugging, and project management

An AI development and MLOps platform for customizing, deploying, and continuously optimizing large language models.

An AI-powered backend development assistant that generates Express.js APIs from natural language and syncs code to GitHub.

Code editor that tracks operations and auto-converts them to Git commits, with support for cross-file refactoring and multi-tool integration.

Ploomber simplifies the development and deployment of data science and machine learning pipelines by helping users transform scripts, notebooks, or functions into maintainable pipelines. It addresses common challenges associated with refactoring notebooks, enabling teams to prototype in Jupyter notebooks and seamlessly transition to production without disrupting their workflow. Ploomber supports Python, SQL, and notebook tasks, automatically tracks code changes to optimize execution, and can be deployed on Kubernetes and various cloud platforms.

HEROZ is an AI company headquartered in Tokyo, dedicated to developing advanced AI engines and SaaS products that solve complex real-world challenges. Leveraging proprietary AI technologies initially cultivated through shogi AI development, HEROZ offers a range of AI engines covering prediction, classification, anomaly detection, path and layout optimization, and natural language text generation. Its AI solutions empower industries to enhance service quality, automate business processes, and enable data-driven decision-making. Additionally, HEROZ provides AI SaaS products such as HEROZ ASK (an AI assistant for enterprise operations) and AI Sakura-san (a digital transformation solution already deployed in areas like transportation and enterprise helpdesks).

Modal is a cloud function platform designed for AI, machine learning, and data teams, enabling the execution of compute-intensive applications without the need to manage underlying infrastructure. The platform supports fast, serverless execution of Python code with automatic elastic scaling and GPU support, allowing developers to seamlessly deploy inference endpoints, batch jobs, and scheduled tasks. Modal simplifies the configuration complexity of container environments, hardware requirements, and persistent storage through an intuitive Python interface, charging only for actual compute time used. Deeply integrated with Oracle Cloud Infrastructure, it delivers high performance and cost-efficiency for large-scale AI workloads.

fast.ai is an open-source deep learning library that provides high-level components enabling practitioners to quickly build and train state-of-the-art models across various domains, including computer vision, natural language processing, tabular data, and recommendation systems. Built on PyTorch, it emphasizes usability, flexibility, and high performance by abstracting common deep learning patterns through a layered architecture. fast.ai supports transfer learning, automated data processing, and advanced training techniques, empowering both beginners and researchers to efficiently develop and customize AI models with minimal code.

Cloudera is a leading hybrid data platform designed to deliver unparalleled flexibility and control for data management, analytics, and security across multi-cloud and on-premises infrastructures. The platform integrates data engineering, data warehousing, streaming processing, and AI capabilities into a unified ecosystem, accelerating data-driven decision-making and AI innovation. Cloudera enables scalable, secure, and governed data workflows, empowering enterprises to easily build and operate machine learning models, real-time analytics, and mission-critical applications.

Airbyte is an open-source data integration engine designed to simplify and accelerate data integration processes. It supports over 600 connectors, enabling businesses to efficiently synchronize data from databases, SaaS applications, APIs, and other sources to data warehouses, data lakes, and similar storage solutions. With a flexible architecture, Airbyte is compatible with both self-hosted and cloud deployments, making it suitable for small teams and large enterprises alike, while meeting scalable, secure, and customizable data pipeline requirements. Its capabilities in unstructured data integration, support for vector databases, and compatibility with generative AI workflows make it a core tool for modern data-driven AI applications.