Best AI tools for< Manage Production >

CALA is a leading fashion platform that unifies design, development, production, and logistics into a single, digital platform. It provides tools and support to automate and optimize the supply chain from start to finish. CALA also offers a network of designers and suppliers, as well as AI-powered design tools to help generate moodboards, fresh ideas, and more.

Kaedim is an AI-powered art outsourcing platform that offers a ready-to-scale, on-demand service for 3D content creation. It combines machine learning algorithms and expert 3D teams to deliver production-quality assets quickly. Kaedim empowers game developers to create stunning graphics, save time, and streamline their art production process. The platform provides end-to-end solutions for game studios, from high poly geometry processing to texturing and rigging, all while ensuring high-quality and game-ready assets.

Rivet AI is a revolutionary AI tool designed to streamline pre-production processes for filmmakers. It offers cutting-edge features to optimize budgeting, scheduling, and script analysis, allowing users to focus on creativity and storytelling. With a strong emphasis on security and confidentiality, Rivet AI ensures that intellectual property remains protected. Trusted by industry professionals, Rivet AI is a valuable asset for film producers, screenwriters, script editors, and aspiring film directors.

Snaplet is a data management tool for developers that provides AI-generated dummy data for local development, end-to-end testing, and debugging. It uses a real programming language (TypeScript) to define and edit data, ensuring type safety and auto-completion. Snaplet understands database structures and relationships, automatically transforming personally identifiable information and seeding data accordingly. It integrates seamlessly into development workflows, providing data where it's needed most: on local machines, for CI/CD testing, and preview environments.

Frontitude is an AI-powered platform that serves as a comprehensive solution for managing UX content from design to production. It provides design and product teams with a centralized workspace for creating, editing, and collaborating on UX content. Frontitude offers features like a UX Writing Assistant, Copy Library, Design-Driven Localization, Automated Developer Handoff, and Supercharged Localization Process. The platform aims to streamline collaboration workflows, ensure consistent content across designs, and facilitate the localization process for multilingual products.

PoplarML is a platform that enables the deployment of production-ready, scalable ML systems with minimal engineering effort. It offers one-click deploys, real-time inference, and framework agnostic support. With PoplarML, users can seamlessly deploy ML models using a CLI tool to a fleet of GPUs and invoke their models through a REST API endpoint. The platform supports Tensorflow, Pytorch, and JAX models.

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Vellum AI is an AI platform that supports using Microsoft Azure hosted OpenAI models. It offers tools for prompt engineering, semantic search, prompt chaining, evaluations, and monitoring. Vellum enables users to build AI systems with features like workflow automation, document analysis, fine-tuning, Q&A over documents, intent classification, summarization, vector search, chatbots, blog generation, sentiment analysis, and more. The platform is backed by top VCs and founders of well-known companies, providing a complete solution for building LLM-powered applications.

FinetuneDB is an AI fine-tuning platform that allows users to easily create and manage datasets to fine-tune LLMs, evaluate outputs, and iterate on production data. It integrates with open-source and proprietary foundation models, and provides a collaborative editor for building datasets. FinetuneDB also offers a variety of features for evaluating model performance, including human and AI feedback, automated evaluations, and model metrics tracking.

JFrog ML is an AI platform designed to streamline AI development from prototype to production. It offers a unified MLOps platform to build, train, deploy, and manage AI workflows at scale. With features like Feature Store, LLMOps, and model monitoring, JFrog ML empowers AI teams to collaborate efficiently and optimize AI & ML models in production.

Vimeo is a comprehensive video experience platform that provides a suite of tools for creating, managing, and sharing videos. With its user-friendly interface and powerful AI capabilities, Vimeo empowers users of all skill levels to produce high-quality videos that engage audiences and drive results. From video hosting and streaming to advanced editing and marketing features, Vimeo offers a complete solution for businesses, creators, and individuals alike.

Allex is a project management and portfolio management software that offers a digital multi-project solution. It helps project professionals accelerate time-to-market results by harmonizing projects, resources, and tasks. The platform enables users to have a sweeping overview of projects, predict capacity bottlenecks, improve project coordination through collaboration, and communicate effectively with internal and external stakeholders. Allex is designed to handle complex projects and offers expert support to ensure informed decision-making from planning to launch.

Encord is a leading data development platform designed for computer vision and multimodal AI teams. It offers a comprehensive suite of tools to manage, clean, and curate data, streamline labeling and workflow management, and evaluate AI model performance. With features like data indexing, annotation, and active model evaluation, Encord empowers users to accelerate their AI data workflows and build robust models efficiently.

Encord is a complete data development platform designed for AI applications, specifically tailored for computer vision and multimodal AI teams. It offers tools to intelligently manage, clean, and curate data, streamline labeling and workflow management, and evaluate model performance. Encord aims to unlock the potential of AI for organizations by simplifying data-centric AI pipelines, enabling the building of better models and deploying high-quality production AI faster.

Empler AI Inc is a website offering AI-powered products and services, including application programming interfaces, software tools, developer services, and documentation. The site collects Personal Information for various purposes, such as providing, analyzing, and improving services, conducting research, and ensuring security. Empler AI respects user privacy and complies with legal obligations. The site also offers aggregated information for analysis and research. Users can contact support for information updates or privacy rights. Empler AI implements security measures to protect Personal Information and may transfer data internationally.

Samsara is a leading provider of Connected Operations™ technology that connects people, systems, and data to give businesses visibility into every area of their operations. Samsara's platform includes a suite of products that help businesses improve safety, efficiency, and sustainability. Samsara's AI-powered video safety solutions provide real-time visibility into fleet operations, helping businesses to prevent accidents and protect their workforce. Samsara's fleet management solutions provide performance insights, asset protection, and live tracking for improved fleet productivity. Samsara's apps and workflows solutions provide customized driver experiences, real-time dispatch data, and streamlined ELD compliance. Samsara's site visibility solutions provide remote visibility, proactive alerting, and on-the-go access to data from remote sites.

EdMon.AI is an AI-powered application that specializes in audio and video transcription. It consists of two main components - EdMon Producer, a content viewing and video editing tool for post-production teams, and EdMon Transcriber, an AI-powered transcription tool for media managers. The application is designed to revolutionize efficiency in collaborative content creation by managing and utilizing large volumes of video content. Developed by a team with extensive experience in the broadcast and post-production industry, EdMon.AI offers seamless integration with industry-standard software like Avid Media Composer and Adobe Premiere Pro.

The Web App Builder by Unshift AI is an AI-powered platform designed to help users quickly and efficiently create fully functional web applications using modern JavaScript frameworks. With features like an advanced editor, support for various frameworks, and access to professionally written code, the platform streamlines the app development process and saves developers time. Users can easily customize design elements, manage content, and export their apps to different frameworks. The platform also offers AI-generated content, extensive component libraries, and a customizable design system to enhance app development. Overall, The Web App Builder is a comprehensive tool for building web applications with ease and efficiency.

Amplication is an AI-powered platform for .NET and Node.js app development, offering the world's fastest way to build backend services. It empowers developers by providing customizable, production-ready backend services without vendor lock-ins. Users can define data models, extend and customize with plugins, generate boilerplate code, and modify the generated code freely. The platform supports role-based access control, microservices architecture, continuous Git sync, and automated deployment. Amplication is SOC-2 certified, ensuring data security and compliance.

BackX is an AI development platform that empowers developers to quickly ship backends across various use cases, environments, and scales. It offers unparalleled accuracy, flexibility, and efficiency by overcoming the limitations of traditional AI-assisted programming. With features like one-click production-grade code, context-aware consistent code output, versioned artifacts, instant deploy, and a suite of AI-powered dev tools, BackX revolutionizes the backend development process. Developers can effortlessly design and manage databases, generate CRUD operations, implement complex business logic, and deploy serverless applications with ease. The platform aims to streamline development processes, increase cost-effectiveness, and provide more accurate outputs than traditional methods.

Steel is an open-source browser API designed for AI agents and applications, simplifying the process of building live web agents and browser automation tools. It serves as a core building block for a production-ready, containerized browser sandbox with features like stealth capabilities, text-to-markdown session management, UI for session viewing/debugging, and full browser control through popular automation frameworks. Steel allows users to control, run, and manage a production-ready browser environment via a REST API, offering features such as full browser control, session management, proxy support, extension support, debugging tools, anti-detection mechanisms, resource management, and various browser tools. It aims to streamline complex browsing tasks programmatically, enabling users to focus on their AI applications while Steel handles the underlying complexity.

Iceburg CRM is a metadata driven CRM with AI abilities that allows users to quickly prototype any CRM. It offers features like metadata creations, import/export in multiple formats, field validation, themes, role permissions, calendar, audit logs, API, workflow, field level relationships, module level relationships, and more. Created with Vue 3 for the frontend, Laravel 10 for the backend, Tailwinds with DaisyUI plugin, and Inertia for routing. Users can install default, admin panel, core, custom, or AI versions. The tool supports AI Assist for module data suggestions and provides API endpoints for CRM modules, search, specific module data, record updates, and deletions. Iceburg CRM also includes themes, custom field types, calendar, datalets, workflow, roles and permissions, import/export functionality, and custom seeding options.

Feast is an open source feature store for machine learning, providing a fast path to manage infrastructure for productionizing analytic data. It allows ML platform teams to make features consistently available, avoid data leakage, and decouple ML from data infrastructure. Feast abstracts feature storage from retrieval, ensuring portability across different model training and serving scenarios.

Morph is a python-centric full-stack framework for building and deploying data apps. It is fast to start, deploy and operate, requires no HTML/CSS knowledge, and is customizable with Python and SQL for advanced data workflows. With Markdown-based syntax and pre-made components, users can create visually appealing designs without writing HTML or CSS.

Awesome-LLMOps is a curated list of the best LLMOps tools, providing a comprehensive collection of frameworks and tools for building, deploying, and managing large language models (LLMs) and AI agents. The repository includes a wide range of tools for tasks such as building multimodal AI agents, fine-tuning models, orchestrating applications, evaluating models, and serving models for inference. It covers various aspects of the machine learning operations (MLOps) lifecycle, from training to deployment and observability. The tools listed in this repository cater to the needs of developers, data scientists, and machine learning engineers working with large language models and AI applications.

SuperAGI is an open-source framework designed to build, manage, and run autonomous AI agents. It enables developers to create production-ready and scalable agents, extend agent capabilities with toolkits, and interact with agents through a graphical user interface. The framework allows users to connect to multiple Vector DBs, optimize token usage, store agent memory, utilize custom fine-tuned models, and automate tasks with predefined steps. SuperAGI also provides a marketplace for toolkits that enable agents to interact with external systems and third-party plugins.

Eko is a lightweight and flexible command-line tool for managing environment variables in your projects. It allows you to easily set, get, and delete environment variables for different environments, making it simple to manage configurations across development, staging, and production environments. With Eko, you can streamline your workflow and ensure consistency in your application settings without the need for complex setup or configuration files.

Superagent is an open-source framework that enables developers to integrate production-ready AI assistants into any application quickly and easily. It provides a Python SDK for interacting with the Superagent API, allowing developers to create, manage, and invoke AI agents. The SDK simplifies the process of building AI-powered applications, making it accessible to developers of all skill levels.

Flo AI is a Python framework that enables users to build production-ready AI agents and teams with minimal code. It allows users to compose complex AI architectures using pre-built components while maintaining the flexibility to create custom components. The framework supports composable, production-ready, YAML-first, and flexible AI systems. Users can easily create AI agents and teams, manage teams of AI agents working together, and utilize built-in support for Retrieval-Augmented Generation (RAG) and compatibility with Langchain tools. Flo AI also provides tools for output parsing and formatting, tool logging, data collection, and JSON output collection. It is MIT Licensed and offers detailed documentation, tutorials, and examples for AI engineers and teams to accelerate development, maintainability, scalability, and testability of AI systems.

Log10 is a one-line Python integration to manage your LLM data. It helps you log both closed and open-source LLM calls, compare and identify the best models and prompts, store feedback for fine-tuning, collect performance metrics such as latency and usage, and perform analytics and monitor compliance for LLM powered applications. Log10 offers various integration methods, including a python LLM library wrapper, the Log10 LLM abstraction, and callbacks, to facilitate its use in both existing production environments and new projects. Pick the one that works best for you. Log10 also provides a copilot that can help you with suggestions on how to optimize your prompt, and a feedback feature that allows you to add feedback to your completions. Additionally, Log10 provides prompt provenance, session tracking and call stack functionality to help debug prompt chains. With Log10, you can use your data and feedback from users to fine-tune custom models with RLHF, and build and deploy more reliable, accurate and efficient self-hosted models. Log10 also supports collaboration, allowing you to create flexible groups to share and collaborate over all of the above features.

Tau is a framework for building low maintenance & highly scalable cloud computing platforms that software developers will love. It aims to solve the high cost and time required to build, deploy, and scale software by providing a developer-friendly platform that offers autonomy and flexibility. Tau simplifies the process of building and maintaining a cloud computing platform, enabling developers to achieve 'Local Coding Equals Global Production' effortlessly. With features like auto-discovery, content-addressing, and support for WebAssembly, Tau empowers users to create serverless computing environments, host frontends, manage databases, and more. The platform also supports E2E testing and can be extended using a plugin system called orbit.

LanceDB is an open-source database for vector-search built with persistent storage, which greatly simplifies retrieval, filtering, and management of embeddings. The key features of LanceDB include: Production-scale vector search with no servers to manage. Store, query, and filter vectors, metadata, and multi-modal data (text, images, videos, point clouds, and more). Support for vector similarity search, full-text search, and SQL. Native Python and Javascript/Typescript support. Zero-copy, automatic versioning, manage versions of your data without needing extra infrastructure. GPU support in building vector index(*). Ecosystem integrations with LangChain 🦜️🔗, LlamaIndex 🦙, Apache-Arrow, Pandas, Polars, DuckDB, and more on the way. LanceDB's core is written in Rust 🦀 and is built using Lance, an open-source columnar format designed for performant ML workloads.

MyScaleDB is a SQL vector database designed for scalable AI applications, enabling developers to efficiently manage and process massive volumes of data using familiar SQL. It offers fast and efficient vector search, filtered search, and SQL-vector join queries. MyScaleDB is fully SQL-compatible and production-ready for AI applications, providing unmatched performance and scalability through cutting-edge OLAP architecture and advanced vector algorithms. Built on top of ClickHouse, it combines structured and vectorized data management for high accuracy and speed in filtered searches.

LangStream is a tool for natural language processing tasks, providing a CLI for easy installation and usage. Users can try sample applications like Chat Completions and create their own applications using the developer documentation. It supports running on Kubernetes for production-ready deployment, with support for various Kubernetes distributions and external components like Apache Kafka or Apache Pulsar cluster. Users can deploy LangStream locally using minikube and manage the cluster with mini-langstream. Development requirements include Docker, Java 17, Git, Python 3.11+, and PIP, with the option to test local code changes using mini-langstream.

MyScaleDB is a SQL vector database optimized for AI applications, enabling developers to manage and process massive volumes of data efficiently. It offers fast and powerful vector search, filtered search, and SQL-vector join queries, making it fully SQL-compatible. MyScaleDB provides unmatched performance and scalability by leveraging cutting-edge OLAP database architecture and advanced vector algorithms. It is production-ready for AI applications, supporting structured data, text, vector, JSON, geospatial, and time-series data. MyScale Cloud offers fully-managed MyScaleDB with premium features on billion-scale data, making it cost-effective and simpler to use compared to specialized vector databases. Built on top of ClickHouse, MyScaleDB combines structured and vector search efficiently, ensuring high accuracy and performance in filtered search operations.

Ryoma is an AI Powered Data Agent framework that offers a comprehensive solution for data analysis, engineering, and visualization. It leverages cutting-edge technologies like Langchain, Reflex, Apache Arrow, Jupyter Ai Magics, Amundsen, Ibis, and Feast to provide seamless integration of language models, build interactive web applications, handle in-memory data efficiently, work with AI models, and manage machine learning features in production. Ryoma also supports various data sources like Snowflake, Sqlite, BigQuery, Postgres, MySQL, and different engines like Apache Spark and Apache Flink. The tool enables users to connect to databases, run SQL queries, and interact with data and AI models through a user-friendly UI called Ryoma Lab.

FoundationaLLM is a platform designed for deploying, scaling, securing, and governing generative AI in enterprises. It allows users to create AI agents grounded in enterprise data, integrate REST APIs, experiment with large language models, centrally manage AI agents and assets, deploy scalable vectorization data pipelines, enable non-developer users to create their own AI agents, control access with role-based access controls, and harness capabilities from Azure AI and Azure OpenAI. The platform simplifies integration with enterprise data sources, provides fine-grain security controls, load balances across multiple endpoints, and is extensible to new data sources and orchestrators. FoundationaLLM addresses the need for customized copilots or AI agents that are secure, licensed, flexible, and suitable for enterprise-scale production.

Neptune is a scalable experiment tracker for teams training foundation models. Log millions of runs, effortlessly monitor and visualize model training, and deploy on your infrastructure. Track 100% of metadata to accelerate AI breakthroughs. Log and display any framework and metadata type from any ML pipeline. Organize experiments with nested structures and custom dashboards. Compare results, visualize training, and optimize models quicker. Version models, review stages, and access production-ready models. Share results, manage users, and projects. Integrate with 25+ frameworks. Trusted by great companies to improve workflow.

Memobase is a user profile-based memory system designed to enhance Generative AI applications by enabling them to remember, understand, and evolve with users. It provides structured user profiles, scalable profiling, easy integration with existing LLM stacks, batch processing for speed, and is production-ready. Users can manage users, insert data, get memory profiles, and track user preferences and behaviors. Memobase is ideal for applications that require user analysis, tracking, and personalized interactions.

Aid in managing and optimizing OEM production orders in the auto industry.

Crafts detailed content marketing workflows

Guides financial planning and cost management in production.

Expert advisor on Filming in Croatia. Cash rebate incentive programme, minority co-productions financing and regulations.

Experto en producción científica de autores

Operations management expert providing advice and solutions

Print on Demand customer service assistant

Offers knowledgeable insights on conventional farming.

Enhances manufacturing operations through advanced mechanical engineering expertise.

Producteur à Succès plusieurs fois certifié & Expert formateur en Music Business

Optimizes production processes for efficient large-scale operations.

Optimizes manufacturing processes for efficiency and quality.

Expert in analyzing coffee grind particle size distribution using image processing and KDE.

数控系统样条插补

Optimizes production processes for improved efficiency and quality.

Lightweight autonomous ai agents that build production ready applications from prompts

制定和实施质量管理体系；审核和改进质量管理体系；培训和指导员；处理质量问题；与其他部门协调；持续改进

Expert in manufacturing operations and digital transformation guidance

Advises on robotics technologies to enhance operational efficiency.

Advisor for manufacturing and heavy industry technology