Filter and sort through our extensive collection of AI tools to find exactly what you need.
Agiloft is a highly configurable, no-code platform for contract lifecycle management (CLM) and business process automation, enhanced with AI capabilities. It is designed primarily for legal, procurement, sales, and IT teams within mid-sized to large enterprises. The platform centralizes contract creation, negotiation, approval, execution, and post-signature management, aiming to reduce cycle times, ensure compliance, and mitigate risk. Its AI features, often branded as AI Assist, leverage machine learning to automate clause extraction, risk analysis, and data population from documents. Unlike rigid systems, Agiloft emphasizes adaptability through its no-code configuration, allowing organizations to tailor workflows, data models, and AI training to their specific legal and operational needs without custom programming. This positions it as a flexible enterprise solution for transforming manual, document-heavy processes into streamlined, intelligent workflows.
Sudachi is an open-source Japanese morphological analyzer developed by Works Applications. It segments Japanese text into morphemes (the smallest meaningful units) and provides part-of-speech tagging and lemmatization. It is designed for industrial-strength text processing, offering high-speed analysis and multiple tokenization modes to suit different applications, from search engines to natural language understanding systems. Unlike some older analyzers, Sudachi is built with modern software practices, supports user-defined dictionaries, and is actively maintained. It is widely used by developers, researchers, and companies needing robust Japanese text preprocessing for tasks like information retrieval, sentiment analysis, and machine learning model training. Its architecture allows for pluggable plugins and easy integration into various pipelines, making it a versatile tool in the NLP toolkit for Japanese language data.
LangChain Content Creator is a sophisticated AI-powered tool designed to automate and streamline content generation by leveraging the LangChain framework. It enables users to produce high-quality written content such as articles, blog posts, social media updates, and marketing materials with ease. The tool offers customizable templates, SEO optimization features, and seamless integration with various content management systems and social platforms, making it ideal for marketers, writers, and businesses seeking efficient content creation. With support for multiple languages and brand voice customization, it ensures context-aware and coherent output, reducing manual effort. Its user-friendly interface caters to both technical and non-technical users, facilitating scalable content production and enhancing productivity through AI-driven automation.
IFTTT (If This Then That) is a leading automation platform that enables users to create custom workflows, known as applets, by connecting various apps, devices, and services. The 'AI SQL' aspect refers to its integration capabilities with artificial intelligence tools and SQL databases, allowing for intelligent data processing and automated actions based on triggers. Users can leverage AI services for predictive analytics, natural language processing, or image recognition, while SQL integrations facilitate seamless data synchronization and management across platforms. With a user-friendly interface, IFTTT supports multi-step applets, real-time triggers, and actions, making it ideal for both personal and business automation. It enhances productivity by automating repetitive tasks, such as social media posting, data backup, smart home control, and more, with over 700 supported services. The platform's flexibility and extensive library of pre-built applets simplify complex workflows, empowering users to harness AI and database technologies without coding expertise.
MightyForms is a comprehensive no-code form builder and workflow automation platform designed for businesses of all sizes to create, manage, and optimize digital forms without programming knowledge. The platform enables users to build various types of forms including contact forms, surveys, registration forms, payment forms, and complex multi-step applications through an intuitive drag-and-drop interface. It serves marketing teams, sales departments, HR professionals, educators, and small business owners who need to collect, process, and act on data efficiently. The tool solves problems related to manual data entry, disconnected workflows, and limited form functionality by providing advanced features like conditional logic, payment processing, CRM integrations, and automated responses. Positioned as more than just a form builder, MightyForms functions as a complete data collection and process automation solution that connects form submissions directly to business tools and workflows, helping organizations streamline operations and improve data management while maintaining professional branding and user experience.
SourceWhale is a comprehensive sales engagement platform designed to enhance outbound prospecting and lead generation for modern sales teams. It seamlessly integrates with popular customer relationship management (CRM) systems like Salesforce and HubSpot, allowing users to build targeted prospect lists, automate multi-channel outreach sequences via email and LinkedIn, and track engagement metrics in real-time. The platform leverages artificial intelligence to enrich lead data, personalize communications, and optimize response rates. With features supporting team collaboration, compliance management, and detailed analytics, SourceWhale enables organizations to scale their sales efforts efficiently while maintaining data accuracy and regulatory adherence. It is particularly beneficial for B2B companies aiming to streamline sales pipelines, improve conversion rates, and drive revenue growth through automated yet personalized outreach campaigns.
Microsoft Power Apps AI is an integrated suite of artificial intelligence capabilities within the Microsoft Power Platform that enables users to build intelligent, data-driven applications without writing code. It empowers business users, citizen developers, and professional developers to create custom apps that leverage AI models for various business scenarios. The platform combines Microsoft's AI services, including Azure AI and OpenAI models, with a visual development environment to democratize AI application development. Users can incorporate pre-built AI models for vision, language, and decision-making tasks, or connect to custom AI models through Azure Machine Learning. The tool is designed for organizations seeking to automate processes, gain insights from data, and create intelligent business applications that adapt to user needs. It integrates seamlessly with Microsoft 365, Dynamics 365, and other Microsoft services, providing a unified ecosystem for building enterprise-grade solutions. Power Apps AI addresses the growing demand for AI-powered applications while reducing the technical barriers traditionally associated with AI implementation.
Phi-2 is a small language model developed by Microsoft Research, featuring 2.7 billion parameters and designed for efficiency and high performance in natural language processing tasks. It is optimized for deployment on resource-constrained environments like edge devices, while maintaining capabilities in reasoning, coding, and multilingual text generation. As an open-source model, Phi-2 is available for download from GitHub and can be integrated via Microsoft Azure services, making it accessible for both research and commercial applications. Its compact size reduces computational costs and energy consumption, offering a balance between power and practicality for developers and enterprises. The model supports various tasks such as text completion, summarization, and question-answering, with ongoing updates from Microsoft to enhance its features and compatibility.
Tines is part of the broader automation and operations stack that combines integration, workflow, and AI capabilities to orchestrate business processes. Depending on how it is configured, it can help teams connect systems, trigger actions, automate repetitive work, and, in some cases, apply machine learning to unstructured inputs or decisioning. The objective is to free people from manual, error‑prone tasks so they can focus on exceptions, analysis, and strategy. For a definitive view of Tines's architecture, deployment models, and governance controls, always rely on the official information available at https://www.tines.com.
SirionLabs is an AI-powered Contract Lifecycle Management (CLM) platform that revolutionizes how enterprises handle contracts by automating and streamlining the entire process from initiation to renewal. Leveraging advanced artificial intelligence, natural language processing, and machine learning, it provides intelligent contract analysis, extracts key terms, identifies risks, and ensures compliance with regulations and internal policies. The platform facilitates seamless collaboration among legal, procurement, and sales teams, reducing manual errors and accelerating contract cycles. With robust features like workflow automation, integration with CRM and ERP systems, and real-time analytics, SirionLabs offers centralized contract repositories, predictive insights, and enhanced visibility into contract performance. Designed for medium to large organizations, it helps mitigate legal and financial risks, improve operational efficiency, and drive strategic decision-making through smarter contract management, making it a comprehensive solution for complex contract portfolios across various industries.
FinNLP is an open-source Python library designed for financial natural language processing (NLP). It provides a suite of tools and pre-trained models specifically tailored for analyzing financial text data, such as news articles, earnings call transcripts, SEC filings, and social media posts related to markets. The library aims to bridge the gap between general-purpose NLP models and the specialized domain of finance, where language carries unique semantics and sentiment. It is primarily used by quantitative researchers, data scientists, algorithmic traders, and financial analysts who need to extract insights, sentiment, and events from unstructured text to inform trading strategies, risk assessment, and market research. By offering domain-specific embeddings, sentiment analysis, and entity recognition, FinNLP enables users to process large volumes of financial text efficiently and integrate the outputs into downstream analytical pipelines. The project is community-driven, hosted on GitHub, and emphasizes modularity and extensibility for research and production use.
ActivePieces is an open-source, no-code automation platform that enables users to connect various applications and services through visual workflows called 'pieces.' It functions as a modern alternative to tools like Zapier and Make, allowing businesses and developers to automate repetitive tasks without writing code. The platform provides a drag-and-drop interface where users can create workflows by connecting triggers (events that start a workflow) with actions (tasks performed in response). ActivePieces supports hundreds of integrations with popular SaaS tools, databases, and APIs, including Google Workspace, Slack, Salesforce, and OpenAI. Its open-source nature allows organizations to self-host the platform for enhanced security and customization. The tool is designed for both technical and non-technical users, from small business owners automating marketing tasks to developers building complex business logic. It emphasizes flexibility, with the ability to create custom pieces using TypeScript for advanced use cases.
Open Source Text Gen is a versatile platform that harnesses open-source artificial intelligence models to facilitate high-quality text generation for a wide range of applications. It empowers users, from developers to content creators, by providing access to advanced AI capabilities for tasks such as article writing, code generation, creative storytelling, and more. The tool emphasizes transparency and community-driven innovation, offering customizable options and seamless integration through APIs. With a user-friendly interface, it supports multiple languages and includes safety filters to ensure responsible AI usage. Designed to democratize access to text generation technology, it serves as a reliable resource for automating content creation, enhancing productivity, and exploring AI-driven writing solutions in various domains.
Alpaca is a state-of-the-art instruction-following language model developed by Stanford University's Center for Research on Foundation Models (CRFM). Based on the LLaMA architecture, it is fine-tuned using a dataset of instructions and responses to enable more natural and effective interactions with AI systems. Primarily designed for academic and research purposes, Alpaca allows users to leverage advanced natural language processing capabilities for tasks such as text generation, summarization, translation, and question answering without requiring extensive computational resources. The model is open-source, promoting transparency, collaboration, and innovation in the AI community. It includes comprehensive documentation and community support, making it accessible for developers, researchers, and educators. Alpaca's ease of fine-tuning and deployment on standard hardware sets it apart from more resource-intensive models, offering a practical balance between performance and usability. Its focus on ethical AI use, including discussions on limitations and biases, underscores its role in responsible AI development.
Nextflow is an open-source workflow management system designed to enable scalable, portable, and reproducible computational pipelines, primarily in the domains of bioinformatics, genomics, and data science. It allows researchers and developers to write complex data analysis workflows using a domain-specific language (DSL) that integrates with various programming languages like Bash, Python, and R. By abstracting the underlying execution environment, Nextflow facilitates seamless deployment across diverse computing infrastructures, including local machines, high-performance clusters (HPC), cloud platforms (AWS, Google Cloud, Azure), and container technologies like Docker and Singularity. Its core philosophy centers on enabling reproducible research by ensuring that workflows are version-controlled, self-contained, and can be easily shared and rerun. The tool is widely adopted in academic institutions, pharmaceutical companies, and biotech firms for processing large-scale genomic datasets, clinical data analysis, and other compute-intensive scientific tasks. Nextflow's community-driven ecosystem includes a registry of pre-built workflows (nf-core) and extensive documentation, making it a cornerstone for modern computational biology and AI-driven scientific research.
T5, or Text-to-Text Transfer Transformer, is a state-of-the-art language model developed by Google Research that reframes all natural language processing (NLP) tasks into a unified text-to-text format. In this framework, both inputs and outputs are text strings, enabling the model to handle diverse applications such as translation, summarization, question answering, and classification with a single architecture. Based on the Transformer model, T5 is pre-trained on the C4 dataset, a massive cleaned corpus of web text, and can be fine-tuned on specific datasets for enhanced performance. It is available in various sizes, from T5-Small to T5-11B, offering flexibility for different computational needs and accuracy requirements. The text-to-text approach simplifies training and deployment, making T5 versatile for research and industry use. Its open-source availability via platforms like TensorFlow Hub and Hugging Face encourages community adoption and innovation in NLP.
Zapier is part of the broader automation and operations stack that combines integration, workflow, and AI capabilities to orchestrate business processes. Depending on how it is configured, it can help teams connect systems, trigger actions, automate repetitive work, and, in some cases, apply machine learning to unstructured inputs or decisioning. The objective is to free people from manual, error‑prone tasks so they can focus on exceptions, analysis, and strategy. For a definitive view of Zapier's architecture, deployment models, and governance controls, always rely on the official information available at https://zapier.com.
Nexar is a cutting-edge platform that transforms smartphones into AI-powered dashcams, leveraging computer vision and machine learning to enhance road safety. The app automatically records drives, detects hazards such as collisions or sudden braking, and provides real-time alerts to prevent accidents. It offers cloud storage for secure footage backup, enabling users to review incidents and share data with insurance companies for streamlined claims. Nexar fosters a community network where drivers contribute road condition alerts, improving collective awareness. With features like GPS tracking, driving behavior insights, and integration with fleets and urban planning tools, it helps reduce risks, optimize driving habits, and generate valuable traffic analytics. Aimed at individual drivers, commercial fleets, and city planners, Nexar combines advanced technology with a user-friendly interface to make roads safer through connected vehicle intelligence.
Automation Hero is an advanced AI-powered platform designed to automate complex business processes using machine learning and natural language processing. It enables organizations to build, deploy, and manage automated workflows without extensive coding knowledge, integrating seamlessly with a wide range of applications. The platform excels in tasks like data extraction, document processing, customer service automation, and more, offering a user-friendly interface with customizable templates and real-time analytics. By leveraging AI, it helps businesses increase efficiency, reduce errors, and scale operations, making it ideal for enterprises seeking digital transformation and operational excellence. Its scalable solutions adapt to various industry needs, freeing up human resources for strategic activities.
DeepWeave AI is a versatile artificial intelligence platform designed to generate high-quality content across multiple modalities, including text, images, and code. It leverages state-of-the-art machine learning models to assist users in creating engaging articles, stunning visuals, and functional code snippets. The platform caters to a wide range of professionals such as marketers, writers, developers, and creatives, offering an intuitive interface with customizable templates and parameters. By streamlining content creation workflows, DeepWeave AI enhances productivity and fosters innovation in industries like education, marketing, and entertainment. It also provides robust API support for seamless integration into existing systems, making advanced AI technology accessible and practical for various applications. With a focus on user experience and cutting-edge AI research, DeepWeave AI empowers users to explore creative possibilities and automate repetitive tasks efficiently.
Zapier AI SQL is an advanced automation platform that merges Zapier's robust workflow automation with artificial intelligence capabilities and seamless SQL database connectivity. It empowers users to create custom, multi-step integrations called Zaps, which can trigger actions based on data from SQL databases, process it using AI, and route it to thousands of other applications. With a no-code interface, even non-technical users can set up complex automations without programming knowledge, streamlining operations and boosting productivity. The AI features enable intelligent data manipulation, such as natural language processing, predictive analytics, and automated decision-making, while SQL integration supports direct queries and real-time data syncing with databases like MySQL, PostgreSQL, and others. This tool is ideal for businesses seeking to automate data-driven tasks, enhance efficiency, and leverage insights through secure, scalable workflows. Regular updates and a vast app ecosystem ensure versatility for various use cases, from customer support to sales reporting.
ServiceNow Now Assist is part of the broader automation and operations stack that combines integration, workflow, and AI capabilities to orchestrate business processes. Depending on how it is configured, it can help teams connect systems, trigger actions, automate repetitive work, and, in some cases, apply machine learning to unstructured inputs or decisioning. The objective is to free people from manual, error‑prone tasks so they can focus on exceptions, analysis, and strategy. For a definitive view of ServiceNow Now Assist's architecture, deployment models, and governance controls, always rely on the official information available at https://www.servicenow.com.
RedPajama is an open-source initiative hosted by Together.xyz, aimed at democratizing access to large language models (LLMs) by providing comprehensive datasets, pre-trained models, and tools for AI research and development. Inspired by models like LLaMA, it enables developers, researchers, and businesses to build, fine-tune, and deploy advanced AI applications without proprietary restrictions. The project includes components such as data processing pipelines, model weights, and inference frameworks, fostering innovation in natural language understanding and generation. Together.xyz supports RedPajama with scalable cloud infrastructure, API access, and community resources, making it a cost-effective alternative to commercial AI solutions. This initiative promotes transparency, collaboration, and accessibility in the AI ecosystem, empowering users to create custom chatbots, content generators, code assistants, and more while adhering to open-source principles.
Robocorp is part of the broader automation and operations stack that combines integration, workflow, and AI capabilities to orchestrate business processes. Depending on how it is configured, it can help teams connect systems, trigger actions, automate repetitive work, and, in some cases, apply machine learning to unstructured inputs or decisioning. The objective is to free people from manual, error‑prone tasks so they can focus on exceptions, analysis, and strategy. For a definitive view of Robocorp's architecture, deployment models, and governance controls, always rely on the official information available at https://robocorp.com.
