Best AI Development Platforms for Google Drive

Build and manage AI agent teams using our Mixture of Experts (MoE) system. Create specialized digital workers with tailored knowledge, language models, triggers, and tools. Expand your workforce through computing power, not headcount. Simplify complex task automation without any coding needed.

Build complex backend agents using multiple steps with an action-based orchestration. All LLMs are supported. Build a fully customized UI without writing a line of code for your agent, and serve it on your own domain. Track your agent's every move, literally, to cope with the nondeterministic nature LLMs. Access control can be built at a finer grain for your application, data and agent. A fine-tuned, specialized model to accelerate software development. Automatically handle concurrency and rate limiting.

Empower your product with AI. Our platform provides a wide range of pre-built models, as well as a user-friendly interface with no-code for custom models. Integrate AI seamlessly into applications to gain a competitive advantage. Sentiment analysis is also known as opinion-mining. It is the process of extracting and categorizing subjective information from text, such as reviews, comments on social media, or customer feedback. In recent years, this technology has grown in importance as more companies use it to understand the opinions and needs of their customers and make data-driven decision that can improve products, services, or marketing strategies. Sentiment analysis helps companies to understand customer feedback, and make data-driven decision that can improve their products, service, and marketing strategies.

Graphlit simplifies the process of building an AI copilot or chatbot or adding LLMs to your existing application. Graphlit is a serverless platform that automates complex data processes, including data ingestion and extraction, LLM conversations. It also integrates webhooks, alerting, semantic search, and alerting. Graphlit's workflow as code approach allows you to programmatically define every step in the workflow. Data ingestion, metadata indexing, data preparation and data enrichment. Integration with your applications is achieved through event-based webhooks, API integrations, and integrations with event-based Webhooks.

Choose the appropriate app type. Choose the output and input required for the app. Add data from existing sources such as files, URLs, sitemaps and YouTube links. You can also add data from Notion exports, Google Drive and other sources. Attach these data sources in the app builder. Save and publish your application. You can embed the code in your website or access it directly from the dedicated app page. Our APIs allow you to run the app directly from your application. Promptly offers embeddable widgets you can easily integrate in your website. These widgets can be used to create conversational AI applications, or to add a bot to your website. Customize the look and feel of the chatbot to match your website. Include a logo.

Ragie streamlines data input, chunking and multimodal indexing for structured and unstructured information. Connect directly to data sources of your choice, ensuring that your data pipeline remains up-to date. Advanced features such as LLM reranking, entity extraction, flexible filters, and hybrid semantic-keyword search are built-in to help you deliver the latest generative AI. Connect directly to popular sources of data like Google Drive, Notion and Confluence. Automatic syncing ensures that your application provides accurate and reliable data. Ragie connectors make it easier than ever to get your data into your AI applications. You can access your data with just a few mouse clicks. Automatic syncing ensures that your application provides accurate and reliable data. Ingestion of relevant data is the first step in a RAG Pipeline. Ragie's APIs make it easy to upload files.

A managed PaaS that includes a low-code visual editor, VectorDB and integrations with apps and models to build, test, and deploy high-performance AI applications on the edge. Eliminate costly and error-prone work. Drag and drop agents, apps, data and models to find the best solution. Deployment in less than 60 seconds, and a 50% reduction in latency. Observe, iterate, and test seamlessly. Visibility and tools are essential for accuracy and reliability. Use data-driven decision making with reports on usage, LLM and request. View real-time traces per node. Experiments allow you to optimize embeddings and prompts, models and more. All you need to launch and iterate at large scale. Community of smart-minded builders who share their insights, experiences & feedback. Distilling the most useful tips, tricks and techniques for AI application developers. A platform that allows you to build agentic systems as if you were a 100-person team. A simple and intuitive frontend for managing AI applications and collaborating with them.

Composio is a platform for integration that enhances AI agents and Large Language Models by providing seamless connections with over 150 tools. It supports a variety of agentic frameworks, LLM providers and function calling for efficient task completion. Composio provides a wide range of tools including GitHub and Salesforce, file management and code execution environments. This allows AI agents to perform a variety of actions and subscribe to different triggers. The platform offers managed authentication that allows users to manage authentication processes for users and agents through a central dashboard. Composio's core features include a developer first integration approach, built in authentication management, and an expanding catalog with over 90 ready to connect tools. It also includes a 30% reliability increase through simplified JSON structure and improved error handling.

SweKit lets you build PR agents that review code, suggest improvement, enforce coding standard, identify potential issues and automate merge approvals. This streamlines the review process while improving code quality. Automate the creation of new features, debugging complex issues, creating and running tests, optimizing code for performance, maintainingability, and ensuring best practices across codebases, accelerating development. Use advanced code indexing and intelligent file navigation to explore and interact with huge codebases. Ask questions, track dependencies, uncover logic flow, and gain instant insight, enabling seamless communications with complex code structures. Keep your documentation up-to-date with your code. Update Mintlify documentation automatically whenever code changes are made. This ensures that your documentation is accurate, current, and ready for you and your team.

Diaflow is a platform that allows you to scale AI across your entire organization. It enables everyone to deploy AI workflows which drive innovation. Create powerful apps and workflows using any data source to automate manual processes or create fully automated ones. Automate manual business processes in a way that your team will enjoy. Diaflow's intuitive components and interfaces allow you to create powerful AI-driven apps for your business that you can be proud of. Diaflow AI-powered editor offers a new way to create and edit documents. Your expertise can be leveraged to provide 24/7 support. With a built-in AI spreadsheet solution, you can easily manage and transform your data. Diaflow makes it easy to create amazing products for your business. Diaflow allows you to create apps and workflows without coding in just minutes.

All the steps involved in building machine learning algorithms and predicting results, all in one click. Data Dialog allows you to easily shape your data without having to wrangle your files. Your prediction reports can be shared with your team members or made public. Let anyone make predictions on your model. Our low-code API allows you to integrate dynamic ML predictions directly into your app. Real-time prediction of willingness to pay, score leads, and many other things. AI gives you access to the most advanced algorithms in the world, without compromising on performance. Forecast revenue, optimize supply chain, personalize your marketing. Now you can see what the next steps are. In minutes, you can add a CSV file or integrate with your favorite data sources. Select your prediction column from the dropdown and we'll automatically build the AI. Visualize the top drivers, predicted results, and simulate "what-if?" scenarios.

Our low-code platform allows you to easily create AI solutions tailored to your specific needs. Our system is flexible and allows you to use a variety of AI algorithms including OpenAI, ChatGPT and your own data. OmniMind, a SaaS, allows you to search for AI answers using your own data and information. OmniMind allows you to process data without coding on AI rails. OmniMind.ai believes in providing users with an easy-to-use interface that makes creating custom AI systems a breeze. Our platform is designed to meet your needs, whether you are a newbie to AI or a seasoned developer.

Start building and deploying agents, retrieval-augmented generation and more in the cloud. We charge a flat rate per request. There are two types: document indexation, and generation. Document indexation is adding a document to the knowledge base. Document indexation is the addition a document to your Knowledge Base and generation, that creates LLM writing on your Knowledge Base RAG. Create a RAG workflow using off-the shelf components and prototype the system that best suits your case. We support many auxiliary functions, including reverse-tracing of output into documents and ingestion for a variety of file formats. Agents can be used to enable the LLM's use of tools. Agent-powered systems can decide what data they need and search for it. Our implementation of Agents provides a simple host for execution layers, and pre-built agents for many use scenarios.

Simulations based on historical data can be used to improve models and update them incrementally. Data governance, access control, and versioning allow for easy collaboration. Ikigai has a wide range of integrations that make it easy to integrate with tools already in your workflow. Ikigai has 200+ connectors that allow you to connect to almost any data source. Want to push your ML to a dashboard or website? Integrate directly using Ikigai’s web integrations. Triggers can be used to run data synchronizations, and retrieve updates every time you run an automation flow. You can integrate Ikigai seamlessly by using your own APIs or creating APIs for your data stack.

Carbon is a cost-effective alternative to expensive pipelines. You only pay monthly for usage. Utilise less and spend less with our usage-based pricing; use more and save more. Use our ready-made components for file uploading, web scraping, and 3rd party verification. A rich library of APIs designed for developers that import AI-focused data. Create and retrieve chunks, embeddings and data from all sources. Unstructured data can be searched using enterprise-grade keyword and semantic search. Carbon manages OAuth flows from 10+ sources. It transforms source data to vector store-optimized files and handles data synchronization automatically.

Create automations and manage exceptions in intuitive English. Automate in a simple and intuitive way processes that have large volumes of transactions, unstructured and structured data, and workflows with complex exceptions. RPA has historically had difficulty automating processes that encounter exceptions. Document-heavy workflows are a good example. Kognitos uses a fundamentally new approach, allowing users to teach automation how to handle exceptions by using natural language. Kognitos mimics how we teach each other to resolve errors and edge-cases by using intuitive prompting, which puts humans in charge. Automation can be trained just like you would train a human to work through experience and examples.

Savvi is a powerful tool that can help you solve business challenges quickly and easily. Increase operational efficiency and empower your team for success. Start with the decision, prediction or recommendation that you would like to automate using AI. With a single line of code, you can easily integrate existing data into your app or run a cold start on data. Savvi manages your AI App from start to finish. Define your prediction or decision options. Identify business goals. Savvi collects data, trains ML models, builds your objective functions, and deploys your AI App. Savvi will learn continuously to improve according to your goals. Savvi will securely collect data and train a ML model from your product in less than few weeks. Savvi code can be dropped in and you're ready to go. You don't need to start with a data architecture project in order to use AI.

With our enterprise Gen AI stack you can go beyond your imagination. You can instantly offload manual tasks and give them to powerful assistants. The sky is the limit. For enterprises that place data security first, fine-tune generative AI models and deploy them on your own cloud securely.

Redactive's platform for developers removes the specialist knowledge of data engineering that developers must learn, implement and maintain in order to build scalable, secure AI-enhanced apps for your customers, or productivity use cases for employees. Built with enterprise security in mind, so you can focus on quickly getting to production. Do not rebuild your permissions models just because your business is implementing AI. Redactive respects the access controls set by data sources & our data pipe can be configured so that your end documents are never stored, reducing your risks with downstream technology vendors. Redactive offers pre-built data connects & reusable authorization flows to connect with a growing list of tools. Custom connectors, LDAP/IdP integrations, and pre-built connectors are also available.

You can embed and store images, documents, and other information. No additional work required for high-performance retrieval workflows. Connect your data via the UI and API. Baseplate handles storage, embedding, and version control to ensure that your data is always up-to-date and in-sync. Hybrid Search with customized embeddings that are tailored to your data. No matter what type, size or domain of data you are searching for, you will get accurate results. Any LLM can be generated using data from your database. Connect search results to an App Builder prompt. It takes just a few clicks to deploy your app. Baseplate Endpoints allow you to collect logs, human feedback, etc. Baseplate Databases enable you to embed and store data in the same table with images, links, text, and other elements that make your LLM app great. You can edit your vectors via the UI or programmatically. We can version your data so that you don't have to worry about duplicates or stale data.

SID allows you to easily integrate Google Drive, Notion and email into your AI apps.