Best AI Development Platforms for Google Drive

RunPod provides a cloud infrastructure that enables seamless deployment and scaling of AI workloads with GPU-powered pods. By offering access to a wide array of NVIDIA GPUs, such as the A100 and H100, RunPod supports training and deploying machine learning models with minimal latency and high performance. The platform emphasizes ease of use, allowing users to spin up pods in seconds and scale them dynamically to meet demand. With features like autoscaling, real-time analytics, and serverless scaling, RunPod is an ideal solution for startups, academic institutions, and enterprises seeking a flexible, powerful, and affordable platform for AI development and inference.

StackAI is an enterprise AI automation platform that allows organizations to build end-to-end internal tools and processes with AI agents. It ensures every workflow is secure, compliant, and governed, so teams can automate complex processes without heavy engineering. With a visual workflow builder and multi-agent orchestration, StackAI enables full automation from knowledge retrieval to approvals and reporting. Enterprise data sources like SharePoint, Confluence, Notion, Google Drive, and internal databases can be connected with versioning, citations, and access controls to protect sensitive information. AI agents can be deployed as chat assistants, advanced forms, or APIs integrated into Slack, Teams, Salesforce, HubSpot, ServiceNow, or custom apps. Security is built in with SSO (Okta, Azure AD, Google), RBAC, audit logs, PII masking, and data residency. Analytics and cost governance let teams track performance, while evaluations and guardrails ensure reliability before production. StackAI also offers model flexibility, routing tasks across OpenAI, Anthropic, Google, or local LLMs with fine-grained controls for accuracy. A template library accelerates adoption with ready-to-use workflows like Contract Analyzer, Support Desk AI Assistant, RFP Response Builder, and Investment Memo Generator. By consolidating fragmented processes into secure, AI-powered workflows, StackAI reduces manual work, speeds decision-making, and empowers teams to build trusted automation at scale.

Whether you're developing an AI assistant, chatbot, or improving your current application with LLMs, Graphlit simplifies the process. It operates on a serverless, cloud-native architecture that streamlines intricate data workflows, encompassing data ingestion, knowledge extraction, LLM interactions, semantic searches, alert notifications, and webhook integrations. With Graphlit's workflow-as-code methodology, you can systematically outline every phase of the content workflow. This includes everything from data ingestion to metadata indexing and data preparation, as well as from data sanitization to entity extraction and data enrichment. Ultimately, it facilitates seamless integration with your applications through event-driven webhooks and API connections, making the entire process more efficient and user-friendly. This flexibility ensures that developers can tailor workflows to meet specific needs without unnecessary complexity.

Orchestrating actions enables the creation of intricate backend agents that can perform multiple tasks seamlessly. Compatible with all LLMs, you can design a completely tailored user interface for your agent without needing to code, all hosted on your own domain. Monitor each phase of your agent’s process, capturing every detail to manage the unpredictable behavior of LLMs effectively. Implement precise access controls for your application, data, and the agent itself. Utilize a specially fine-tuned model designed to expedite the software development process significantly. Additionally, the system automatically manages aspects like concurrency, rate limiting, and various other functionalities to enhance performance and reliability. This comprehensive approach ensures that users can focus on their core objectives while the underlying complexities are handled efficiently.

Select the suitable application type or template based on your specific needs. Enter the required inputs and configurations for the application, and decide on the method for displaying the output. Incorporate your existing data from various sources such as files, URLs, sitemaps, YouTube videos, Google Drive, and exports from Notion. Link these data sources to your application within the app builder environment. Once complete, save and publish your application. You can access it through a dedicated app page or seamlessly embed it on your website using the provided embed code. Additionally, leverage our APIs to run the application directly from your other applications. We also offer easily embeddable widgets that can be integrated into your website with minimal effort. Utilize these widgets to create conversational AI solutions or to enhance your site with a functional chatbot. Customize the appearance of the chatbot to align with your website's branding, ensuring it includes a personalized logo that reflects your style. This integration allows for a cohesive user experience across your digital platforms.

Ragie simplifies the processes of data ingestion, chunking, and multimodal indexing for both structured and unstructured data. By establishing direct connections to your data sources, you can maintain a consistently updated data pipeline. Its advanced built-in features, such as LLM re-ranking, summary indexing, entity extraction, and flexible filtering, facilitate the implementation of cutting-edge generative AI solutions. You can seamlessly integrate with widely used data sources, including Google Drive, Notion, and Confluence, among others. The automatic synchronization feature ensures your data remains current, providing your application with precise and trustworthy information. Ragie’s connectors make integrating your data into your AI application exceedingly straightforward, allowing you to access it from its original location with just a few clicks. The initial phase in a Retrieval-Augmented Generation (RAG) pipeline involves ingesting the pertinent data. You can effortlessly upload files directly using Ragie’s user-friendly APIs, paving the way for streamlined data management and analysis. This approach not only enhances efficiency but also empowers users to leverage their data more effectively.

Introducing a comprehensive managed PaaS that features a low-code visual builder, VectorDB, along with integrations for various applications and models, designed for the creation, testing, and deployment of high-performance AI applications on the edge. This solution eliminates inefficient and error-prone tasks, allowing users to simply drag and drop models, applications, data, and agents to discover the most effective combinations. You can deploy solutions in less than 60 seconds while significantly reducing latency. The platform supports seamless observation, testing, and iteration processes, ensuring that you maintain visibility and utilize tools that guarantee precision and dependability. Make informed, data-driven decisions with detailed reports on requests, LLM interactions, and usage analytics, while also accessing real-time traces by node. The experimentation feature simplifies the optimization of various elements, including embeddings, prompts, and models, ensuring continuous enhancement. This platform provides everything necessary to launch and iterate at scale, backed by a vibrant community of innovative builders who share valuable insights and experiences. The collective effort distills the most effective tips and techniques for developing AI applications, resulting in an elegant solution that enables the creation of agentic systems with the efficiency of a large team. Furthermore, its intuitive and user-friendly interface fosters seamless collaboration and management of AI applications, making it accessible for everyone involved.

SweKit empowers users to create PR agents that can review code, suggest enhancements, uphold coding standards, detect potential problems, automate merge approvals, and offer insights into best practices, thereby streamlining the review process and improving code quality. Additionally, it automates the development of new features, troubleshoots intricate issues, generates and executes tests, fine-tunes code for optimal performance, refactors for better maintainability, and ensures adherence to best practices throughout the codebase, which significantly boosts development speed and efficiency. With its sophisticated code analysis, advanced indexing, and smart file navigation tools, SweKit allows users to effortlessly explore and engage with extensive codebases. Users can pose questions, trace dependencies, uncover logic flows, and receive immediate insights, facilitating smooth interactions with complex code structures. Furthermore, it ensures that documentation remains aligned with the code by automatically updating Mintlify documentation whenever modifications are made to the codebase, guaranteeing that your documentation is precise, current, and accessible for both your team and users. This synchronization fosters a culture of transparency and keeps all stakeholders informed of the latest developments in the project's lifecycle.

Diaflow serves as a comprehensive enterprise solution designed to enhance the scalability of AI throughout your organization, empowering users to implement AI workflows that foster innovation. Transitioning from manual tasks to fully automated systems, it allows teams to craft effective applications and workflows using data from various sources. Streamlining your organization's manual operations becomes a breeze with user-friendly solutions that your team will appreciate. With Diaflow's intuitive interfaces and components, you can develop impressive AI-driven internal applications that you can take pride in. The platform also introduces a groundbreaking approach to document creation and editing through its AI-powered editing tool, leveraging your expertise to ensure continuous support and engagement around the clock. Moreover, it offers an integrated, AI-enabled spreadsheet solution that simplifies data management and transformation. Experience the ease with which Diaflow allows you to create outstanding products for your business, enabling rapid app and workflow development in mere minutes without any coding skills required. Ultimately, Diaflow is a game-changer for organizations looking to harness the power of AI effectively and efficiently.

ToolSDK.ai is a complimentary TypeScript SDK and marketplace designed to expedite the development of agentic AI applications by offering immediate access to more than 5,300 MCP (Model Context Protocol) servers and modular tools with just a single line of code. This capability allows developers to seamlessly integrate real-world workflows that merge language models with various external systems. The platform provides a cohesive client for loading structured MCP servers, which include functionalities like search, email, CRM, task management, storage, and analytics, transforming them into tools compatible with OpenAI. It efficiently manages authentication, invocation, and the orchestration of results, enabling virtual assistants to interact with, compare, and utilize live data from a range of services such as Gmail, Salesforce, Google Drive, ClickUp, Notion, Slack, GitHub, and various analytics platforms, as well as custom web search or automation endpoints. Additionally, the SDK comes with example quick-start integrations, supports metadata and conditional logic for multi-step orchestrations, and facilitates smooth scaling to accommodate parallel agents and intricate pipelines, making it an invaluable resource for developers aiming to innovate in the AI landscape. With these features, ToolSDK.ai significantly lowers the barriers for developers to create sophisticated AI-driven solutions.

Arcade.dev is a platform designed for AI tool calling that empowers AI agents to safely carry out real-world tasks such as sending emails, messaging, updating systems, or activating workflows through integrations authorized by users. Serving as a secure authenticated proxy in line with the OpenAI API specification, Arcade.dev allows models to access various external services, including Gmail, Slack, GitHub, Salesforce, and Notion, through both pre-built connectors and custom tool SDKs while efficiently handling authentication, token management, and security. Developers can utilize a streamlined client interface—arcadepy for Python or arcadejs for JavaScript—that simplifies tool execution and authorization processes without complicating application logic with the need for credentials or API details. The platform is versatile, supporting secure deployments in the cloud, private VPCs, or local environments and features a control plane designed for managing tools, users, permissions, and observability. This comprehensive management system ensures that developers can maintain oversight and control while leveraging the power of AI to automate various tasks effectively.

Disco.dev serves as an open-source personal hub designed for the integration of the Model Context Protocol (MCP), enabling users to easily discover, launch, customize, and remix MCP servers without any setup or infrastructure burdens. This platform offers convenient plug-and-play connectors alongside a collaborative workspace that allows users to quickly deploy servers using either CLI or local execution methods. Users can also delve into community-shared servers, remix them, and adapt them for their specific workflows. By eliminating infrastructure constraints, this efficient approach not only speeds up the development of AI automation but also makes agentic tools more accessible to a broader audience. Additionally, it encourages collaborative efforts among both technical and non-technical users, promoting a modular ecosystem that embraces remixability and innovation. Overall, Disco.dev stands as a pivotal resource for those looking to enhance their MCP experience without traditional limitations.

MCPTotal is a robust, enterprise-level solution that facilitates the management, hosting, and governance of MCP (Model Context Protocol) servers and AI-tool integrations within a secure, audit-friendly framework, rather than allowing them to operate haphazardly on developers' local machines. The platform features a “Hub,” which serves as a centralized, sandboxed runtime space where MCP servers are securely containerized, fortified, and thoroughly vetted for potential vulnerabilities. Additionally, it includes an integrated “MCP Gateway” that functions as an AI-focused firewall, capable of real-time inspection of MCP traffic, enforcing security policies, tracking all tool interactions and data movements, and mitigating typical threats like data breaches, prompt-injection attempts, and improper credential use. Security measures are further enhanced through the secure storage of all API keys, environment variables, and credentials in an encrypted vault, effectively preventing credential sprawl and the risks associated with storing sensitive information in plaintext on personal devices. Furthermore, MCPTotal empowers organizations with discovery and governance capabilities, allowing security teams to conduct scans on both desktop and cloud environments to identify the active use of MCP servers, thus ensuring comprehensive oversight and control. Overall, this platform represents a significant advancement in the management of AI resources, promoting both security and efficiency within enterprises.

Experience the entire journey of developing machine learning algorithms and forecasting results with just a single click. Not every dataset is inherently suitable for machine learning; leverage the Data Dialog to effortlessly refine your data without the hassle of file manipulation. You can easily distribute your prediction reports among your team or make them publicly accessible, allowing anyone to engage with your model and generate predictions. Integrate dynamic ML predictions directly into your application through our user-friendly low-code API. Assess factors like willingness to pay, evaluate leads, and more, all in real-time. Obviously AI equips you with the latest groundbreaking algorithms while ensuring top-notch performance is maintained. You can now accurately forecast revenue, streamline supply chains, and tailor marketing efforts to individual needs. With just a CSV upload or a quick integration with your preferred data sources, you can select your prediction column from a convenient dropdown menu and watch as we automatically construct the AI for you. Additionally, enjoy beautifully crafted visualizations of predicted outcomes, identify key influencers, and explore "what-if" scenarios to better understand potential futures. This innovative approach transforms the way you interact with data and make predictions.

Enhance your product's capabilities with artificial intelligence. Our platform provides an extensive range of ready-to-use models along with an intuitive no-code interface for creating custom models. Effortlessly integrate AI into your applications for a distinct competitive advantage. Sentiment analysis, often referred to as opinion mining, involves the extraction of subjective insights from textual data, including customer reviews, social media interactions, and feedback, categorizing these insights as positive, negative, or neutral. The significance of this technology has surged in recent years, with a growing number of businesses leveraging it to comprehend customer sentiments and requirements, ultimately leading to data-driven decisions that can refine their offerings and marketing approaches. By employing sentiment analysis, organizations can gain valuable insights into customer feedback, enabling them to enhance their products, services, and promotional strategies effectively. This advancement not only aids in improving customer satisfaction but also fosters innovation within the company.

Our low-code platform empowers you to effortlessly develop personalized AI solutions that cater to your specific requirements. The system's adaptability enables the utilization of a diverse array of AI algorithms, such as OpenAI and ChatGPT, alongside your proprietary data and knowledge base. OmniMind serves as a SaaS that integrates your own information and data from multiple sources to facilitate AI-driven answers. With OmniMind, you can seamlessly process data without needing to code, all within AI frameworks. At OmniMind.ai, we prioritize delivering a straightforward and user-centric interface that simplifies the process of constructing custom AI systems. Whether you are a novice in the AI realm or a seasoned developer, our platform is crafted to help you reach your objectives swiftly and efficiently. In addition, we are committed to continuous improvement, ensuring that our users have access to the latest advancements in AI technology.

Composio serves as an integration platform aimed at strengthening AI agents and Large Language Models (LLMs) by allowing easy connectivity to more than 150 tools with minimal coding efforts. This platform accommodates a diverse range of agentic frameworks and LLM providers, enabling efficient function calling for streamlined task execution. Composio boasts an extensive repository of tools such as GitHub, Salesforce, file management systems, and code execution environments, empowering AI agents to carry out a variety of actions and respond to multiple triggers. One of its standout features is managed authentication, which enables users to control the authentication processes for every user and agent through a unified dashboard. Additionally, Composio emphasizes a developer-centric integration methodology, incorporates built-in management for authentication, and offers an ever-growing collection of over 90 tools ready for connection. Furthermore, it enhances reliability by 30% through the use of simplified JSON structures and improved error handling, while also ensuring maximum data security with SOC Type II compliance. Overall, Composio represents a robust solution for integrating tools and optimizing AI capabilities across various applications.

Enhancing model performance and conducting scenario analyses through simulations with historical datasets is essential for progress. Collaboration is streamlined across data governance, access management, and version control. With Ikigai's ready-to-use integrations, you can effortlessly incorporate a wide range of tools that fit seamlessly into your existing workflows. Ikigai offers over 200 connectors, allowing you to connect to virtually any data source you can imagine. If you're looking to deploy your machine learning pipeline to a website or dashboard, Ikigai’s web integrations make that process straightforward. Utilize triggers to initiate data synchronizations and obtain updates every time you execute a data automation flow. In addition, you can connect to your own APIs or develop new ones for your data stack, ensuring a smooth integration with Ikigai. This flexibility empowers teams to adapt quickly to changing data landscapes and leverage insights effectively.

Create automations and handle exceptions using simple, intuitive language. With Kognitos, you can seamlessly automate tasks involving both structured and unstructured data, manage large volumes of transactions, and navigate complex workflows that often pose challenges for conventional automation solutions. Traditionally, processes that deal with exceptions, such as those requiring extensive documentation, have presented significant hurdles for robotic process automation due to the extensive initial work needed to incorporate exception management. However, Kognitos revolutionizes this by empowering users to instruct automation on how to address exceptions through natural language communication. This approach mimics the way we would naturally teach each other to solve problems and manage anomalies, using intuitive prompts that keep humans at the helm. Now, automation can be refined and developed much like training a human, utilizing shared experiences and practical examples to enhance its capabilities effectively. This innovative method not only simplifies the automation process but also fosters a collaborative environment where users feel more engaged and in control of the technology.

Discover how Savvi can swiftly address your business obstacles while enhancing operational effectiveness and enabling your team to thrive. Begin by selecting the decision, recommendation, or prediction you aim to automate using AI technology. With a straightforward line of code in your application, you can seamlessly integrate your existing data or initiate a data cold start. Savvi takes care of your AI application from start to finish, allowing you to outline your prediction or decision parameters, pinpoint your business objectives, and publish your results. The platform efficiently gathers data, trains machine learning models, develops your objective function, and deploys the AI application into your product. Additionally, Savvi continuously adapts to enhance performance relative to your goals. In under a few weeks, Savvi can securely gather data from your product and train an ML model, making it incredibly easy—simply insert a snippet of Savvi’s code and you're ready to go. Say goodbye to the necessity of a complex data architecture project to embark on your AI journey, as Savvi simplifies the pathway to innovation. By streamlining the process, Savvi empowers businesses to embrace AI with confidence and agility.

Redactive's developer platform eliminates the need for developers to acquire specialized data engineering expertise, simplifying the process of creating scalable and secure AI-driven applications for both customer engagement and employee productivity. Designed with the security requirements of enterprises in mind, it enables you to expedite your journey to production. There’s no need to overhaul your permission models simply because you are integrating AI into your organization. Redactive consistently honors the access controls established by your data sources, and our data pipeline is designed to avoid the storage of your final documents, thereby minimizing risks associated with downstream technology providers. With a comprehensive suite of pre-built data connectors and reusable authentication flows, Redactive seamlessly integrates with a continually expanding range of tools, complemented by custom connectors and LDAP/IdP provider integrations, ensuring that you can effectively support your AI initiatives regardless of your existing architecture. This flexibility allows businesses to innovate rapidly while maintaining robust security standards.

Start developing in the cloud and deploying on your own server using retrieval-augmented generation, agents, and more. We offer a straightforward pricing model with a fixed fee for each request. Requests can be categorized into two main types: document indexation and generation. Document indexation involves incorporating a document into your knowledge base, while generation utilizes that knowledge base to produce LLM-generated content through RAG. You can establish a RAG workflow by implementing pre-existing components and crafting a prototype tailored to your specific needs. Additionally, we provide various supporting features, such as the ability to trace outputs back to their original documents and support for multiple file formats during ingestion. By utilizing Agents, you can empower the LLM to access additional tools. An Agent-based architecture can determine the necessary data and conduct searches accordingly. Our agent implementation simplifies the hosting of execution layers and offers pre-built agents suited for numerous applications, making your development process even more efficient. With these resources at your disposal, you can create a robust system that meets your demands.

Embed and archive various types of content, including documents and images, while enjoying seamless and high-efficiency retrieval processes without any extra effort. You can link your data through either the user interface or the API, as Baseplate takes care of embedding, storage, and version management to ensure your data remains current and synchronized. With Hybrid Search and specialized embeddings tailored for your specific data, you will receive precise results no matter the format, size, or category of the information you are exploring. You can utilize any LLM by querying it with data from your database, and effortlessly connect search outcomes to prompts using the App Builder feature. Launching your application is straightforward and can be done in just a few clicks. Additionally, Baseplate Endpoints enable you to gather logs, human responses, and more. Baseplate Databases facilitate the embedding and storage of your data alongside images, links, and text, enhancing the functionality of your LLM application. You have the flexibility to modify your vectors through the user interface or via programming, and we ensure your data is versioned, alleviating concerns regarding outdated information or duplicates. Moreover, this streamlined approach allows for the efficient management of large datasets while keeping everything organized and easily accessible.

SID provides a straightforward solution for incorporating email, Notion, Google Drive, and additional services into your AI applications, simplifying the integration process significantly. This makes it an ideal choice for developers looking to streamline their workflows.

Harness the capabilities of tailored models to gain a strategic edge in your market. With our advanced enterprise Gen AI framework, you can surpass conventional limits and delegate repetitive tasks to robust assistants in real time – the possibilities are endless. For businesses that prioritize data protection, customize and implement generative AI solutions within your own secure cloud environment, ensuring safety and confidentiality at every step.