Top Nominow Alternatives, Competitors & Similar Software

Data Science and Machine Learning Platforms

Guardrails AI is an open-source framework designed to enhance the development of Generative AI applications by simplifying LLM response validation, improving reusability, and providing robust operational features. It offers a comprehensive set of tools for working with LLMs, streamlining the development process and promoting the creation of more robust and reliable AI applications

Data Science and Machine Learning Platforms

TheAgenticAI is a platform that leverages open-source models combined with online reinforcement learning to enhance the accuracy of agentic AI workflows. It excels in complex reasoning tasks by integrating multi-step workflows, function-calling, and structured outputs, outperforming other state-of-the-art models like GPT-4 in these areas. It aims to solve the accuracy issues prevalent in current large language models (LLMs) for moderate to complex tasks without requiring changes to existing APIs.

Data Science and Machine Learning Platforms

DigiParser lets you import any documents, extract JSON data based on your defined schema, and export this data to your business tools for automated data entries.Digiparser helps you extract data from documents or emails with our AI-powered OCR models, and automate business processes with a simple no-code workflow builder.

Data Science and Machine Learning Platforms

DigiParser lets you import any documents, extract JSON data based on your defined schema, and export this data to your business tools for automated data entries.Digiparser helps you extract data from documents or emails with our AI-powered OCR models, and automate business processes with a simple no-code workflow builder.

Data Science and Machine Learning Platforms

Canvas is an AI-powered platform designed for enterprise customer success teams. It consolidates data from various sources, automatically detects risks and opportunities, and provides AI-assisted task handling. The platform aims to transform customer success managers from reactive support roles into proactive growth drivers, addressing challenges like customer churn and revenue loss in the B2B SaaS market.

Data Science and Machine Learning Platforms

Sagentic is a comprehensive platform designed for creating, scaling, and managing autonomous AI agents. It combines a TypeScript framework, runtime environment, and deployment platform to enable developers to build sophisticated AI agents that can operate independently, make decisions, and interact with their environment.

Data Science and Machine Learning Platforms

AGENTS.inc is a platform that provides a suite of AI agents designed to automate various aspects of knowledge work. These intelligent agents leverage AI and data analytics to deliver real-time intelligence by connecting data sources, engaging with AI models, and generating reports, alerts, and interactive dashboards. Each agent is specialized for specific tasks such as news monitoring, company identification, policy tracking, report generation, scientific knowledge aggregation, and patent analysis. The platform aims to enhance productivity and decision-making across various industries by providing deep insights and supporting data-driven strategies.

Data Science and Machine Learning Platforms

AppifyTex.ai leverages the power of AI combined with a no-code/low-code platform to instantly convert simple text descriptions into fully functional web apps — all in about 30 seconds. No coding required — the app is immediately ready to use, and you can easily customize it through intuitive no-code/low-code tools. Once your app is live, you have the flexibility to export and host it anywhere: on your computer, a hosting service, or the cloud.

Data Science and Machine Learning Platforms

AGENTS.inc is a platform that provides a suite of AI agents designed to automate various aspects of knowledge work. These intelligent agents leverage AI and data analytics to deliver real-time intelligence by connecting data sources, engaging with AI models, and generating reports, alerts, and interactive dashboards. Each agent is specialized for specific tasks such as news monitoring, company identification, policy tracking, report generation, scientific knowledge aggregation, and patent analysis. The platform aims to enhance productivity and decision-making across various industries by providing deep insights and supporting data-driven strategies.

Data Science and Machine Learning Platforms

AGENTS.inc is a platform that provides a suite of AI agents designed to automate various aspects of knowledge work. These intelligent agents leverage AI and data analytics to deliver real-time intelligence by connecting data sources, engaging with AI models, and generating reports, alerts, and interactive dashboards. Each agent is specialized for specific tasks such as news monitoring, company identification, policy tracking, report generation, scientific knowledge aggregation, and patent analysis. The platform aims to enhance productivity and decision-making across various industries by providing deep insights and supporting data-driven strategies.

Data Science and Machine Learning Platforms

Agenta is a platform for building production-grade LLM applications. It helps engineering and product teams create reliable LLM apps faster. Agenta provides end-to-end tools for the entire LLMOps workflow: building (LLM playground, evaluation), deploying (prompt and configuration management), and monitoring (LLM observability and tracing).

Data Science and Machine Learning Platforms

Canvas is an AI-powered platform designed for enterprise customer success teams. It consolidates data from various sources, automatically detects risks and opportunities, and provides AI-assisted task handling. The platform aims to transform customer success managers from reactive support roles into proactive growth drivers, addressing challenges like customer churn and revenue loss in the B2B SaaS market.

Data Science and Machine Learning Platforms

KaibanJS, shorthand for "AI in a Kanban," is a JavaScript framework designed to streamline the process of constructing, managing, and visualizing multi-agent AI systems. With KaibanJS, you can: - Easily assemble groups of AI agents to work collaboratively on complex tasks. - Monitor and manage your agents' activities through a Trello-like UI that offers a clear visual representation of tasks and workflows. - Operate the Kanban Board on your local system, giving you full control over the environment and ensuring privacy and data security. - Utilize a broad range of JavaScript libraries and APIs to enhance the functionality of your agents.

Data Science and Machine Learning Platforms

DigiParser lets you import any documents, extract JSON data based on your defined schema, and export this data to your business tools for automated data entries.Digiparser helps you extract data from documents or emails with our AI-powered OCR models, and automate business processes with a simple no-code workflow builder.

Data Science and Machine Learning Platforms

AGENTS.inc is a platform that provides a suite of AI agents designed to automate various aspects of knowledge work. These intelligent agents leverage AI and data analytics to deliver real-time intelligence by connecting data sources, engaging with AI models, and generating reports, alerts, and interactive dashboards. Each agent is specialized for specific tasks such as news monitoring, company identification, policy tracking, report generation, scientific knowledge aggregation, and patent analysis. The platform aims to enhance productivity and decision-making across various industries by providing deep insights and supporting data-driven strategies.

Data Science and Machine Learning Platforms

LLMStack is an end-to-end platform designed for building AI-powered applications using large language models (LLMs). It offers a no-code builder to create and deploy AI apps without extensive coding, integrates multiple LLMs, and provides tools for data management and workflow automation. With LLMStack, users can manage AI APIs, process data with vector stores, and build complex AI workflows.

Data Science and Machine Learning Platforms

KaibanJS, shorthand for "AI in a Kanban," is a JavaScript framework designed to streamline the process of constructing, managing, and visualizing multi-agent AI systems. With KaibanJS, you can: - Easily assemble groups of AI agents to work collaboratively on complex tasks. - Monitor and manage your agents' activities through a Trello-like UI that offers a clear visual representation of tasks and workflows. - Operate the Kanban Board on your local system, giving you full control over the environment and ensuring privacy and data security. - Utilize a broad range of JavaScript libraries and APIs to enhance the functionality of your agents.

Data Science and Machine Learning Platforms

Pactory lets AI agents hire specialized Vertical LLMs on-demand. A single integration allows agents to find any professional help and pay for it. This way, AI agent developers can equip their agents with specialized expertise, enabling them to handle complex tasks without setting up many predetermined workflows or agent teams.

Data Science and Machine Learning Platforms

KaibanJS, shorthand for "AI in a Kanban," is a JavaScript framework designed to streamline the process of constructing, managing, and visualizing multi-agent AI systems. With KaibanJS, you can: - Easily assemble groups of AI agents to work collaboratively on complex tasks. - Monitor and manage your agents' activities through a Trello-like UI that offers a clear visual representation of tasks and workflows. - Operate the Kanban Board on your local system, giving you full control over the environment and ensuring privacy and data security. - Utilize a broad range of JavaScript libraries and APIs to enhance the functionality of your agents.

Data Science and Machine Learning Platforms

xpander.ai enables engineering teams to build multi-step AI Agents that connect to any system and achieve any task. Users simply select which target systems they want their AI Agent to connect to and what tasks it should achieve, and the xpander.ai Agent Graph System is automatically generated, to enforce managed and accurate function calling. Companies can generate Agentic Interfaces to their own home-grown and private systems with zero-effort. The platform allows enterprises to run AI Gateways, which enable on-prem or VPC-contained AI Agents to run without reaching out to the Internet.