Tavily Integrations

Axis LMS is a powerful, flexible learning management system built for businesses that take training seriously. Whether you’re onboarding employees, managing certifications, or delivering compliance training, Axis LMS makes it easy with automation, customization, and robust reporting. Designed for real-world use, it supports video, SCORM, quizzes, surveys and much more - all in a responsive, mobile-friendly interface for users. With powerful admin tools and branding options, Axis LMS helps you create engaging learning experiences that scale with your organization, both online and virtual classrooms. Trusted by organizations of all sizes since 1997, Axis LMS combines enterprise-level power with small-business flexibility. Whether you have 25 users or 10,000+, Axis LMS delivers a reliable, scalable solution that evolves with your training needs.

NimbleBrain is a conversational automation platform. Describe what you need in plain English, and Nira, your AI assistant, builds and runs the workflow in seconds. No drag-and-drop builders. No configuration. Just conversation. Key capabilities: - Daily operations monitoring: gather data from CRM, analytics, Slack, and news into automated briefings - Lead enrichment and outreach: validate emails, enrich contacts, score leads, generate personalized messages - Scheduled and event-triggered workflows across your entire tool stack Integrations: HubSpot, Slack, Gmail, Google Sheets, Google Calendar, Notion, Calendly, Zoom, PostgreSQL, web search, and more! Who it's for: Ops leads, founders, and PMs at growing companies who want automation without complexity. Why NimbleBrain: - First automation in under 60 seconds - Zero setup or training - Workflows you can inspect and adjust Stop building workflows. Start describing them.

Composio is a platform that enables AI agents to seamlessly interact with external tools and applications. It provides pre-built integrations with over 1,000 apps, allowing agents to execute tasks across services like Slack, Gmail, GitHub, and more. The platform handles complex processes such as authentication, tool execution, and sandboxed environments automatically. Composio supports dynamic tool selection, ensuring agents use the right tools based on user intent. It also enables secure, parallel execution of workflows in isolated environments. Developers can build agents that move beyond conversation to perform real-world actions. By simplifying integrations and execution, Composio helps turn AI agents into powerful, task-performing systems.

MindMac is a native macOS application designed to enhance productivity by integrating seamlessly with ChatGPT and other AI models. It supports multiple AI providers, including OpenAI, Azure OpenAI, Google AI with Gemini, Gemini Enterprise Agent Platform, Anthropic Claude, OpenRouter, Mistral AI, Cohere, Perplexity, OctoAI, and local LLMs via LMStudio, LocalAI, GPT4All, Ollama, and llama.cpp. MindMac offers over 150 built-in prompt templates to facilitate user interaction and allows for extensive customization of OpenAI parameters, appearance, context modes, and keyboard shortcuts. The application features a powerful inline mode, enabling users to generate content or ask questions within any application without switching windows. MindMac ensures privacy by storing API keys securely in the Mac's Keychain and sending data directly to the AI provider without intermediary servers. The app is free to use with basic features, requiring no account for setup.

Activepieces is an AI-powered, open-source, no-code automation platform designed to help teams streamline workflows and integrate AI seamlessly into everyday tasks. With over 280 pre-built automations (MCPs), Activepieces allows users to connect to popular apps, trigger processes, and even create personalized AI agents with minimal effort. The platform includes features like human input for approvals, a robust automation builder, and AI-assisted code for more advanced workflows. It empowers decentralized teams by offering tools for collaboration, governance, and security, making it suitable for organizations of all sizes, from startups to enterprises.

Metorial is an open source, developer-centric integration platform that streamlines the creation, deployment, monitoring, and scaling of agentic AI applications by connecting models to tools, data, and APIs via the Model Context Protocol. With a catalog of over 600 verified MCP “servers,” developers can give their agents capabilities like interacting with Slack, Google Calendar, Notion, APIs, databases, or other systems in just a few clicks or one API call. Metorial’s infrastructure is serverless and built for scale, deploying MCP servers in three clicks or an API call, supporting “zero to millions” of requests, and offering out-of-the-box observability including detailed logging, tracing, session replay, and error alerts. A full set of SDKs (Python, TypeScript) is provided, and every interaction is traceable so teams can audit and optimize agent behaviour. Whether self-hosted or cloud-powered, Metorial offers enterprise-grade security and multi-tenant support.

Kadabra is an AI-powered workflow automation platform that enables teams to convert plain-English descriptions of tasks into live pipelines in minutes. Users simply chat their goal, such as “when a new signup arrives, enrich the lead, add to Notion CRM, and ping Slack,” and Kadabra’s AI designs, tests, and deploys the automation. It connects natively to apps like Slack, Notion, Google Sheets, Gmail, and webhooks, presents the workflow on a visual canvas where users can review and approve each step, and supports both scheduled and event-triggered execution. Built-in monitoring, error-handling, and one-click deployment mean teams can scale automations without heavy engineering resources. With control surfaces that let users refine workflows, it retains transparency, and guardrails even as it accelerates automation across marketing, sales, operations, and product workflows.

MCPTotal is a secure, enterprise-grade platform designed to manage, host, and govern MCP (Model Context Protocol) servers and AI-tool integrations in a controlled, audit-ready environment rather than letting them run ad hoc on developers’ machines. It offers a “Hub”, a centralized, sandboxed runtime environment where MCP servers are containerized, hardened, and pre-vetted for security. A built-in “MCP Gateway” acts like an AI-native firewall: it inspects MCP traffic in real time, enforces policies, monitors all tool calls and data flows, and prevents common risks such as data exfiltration, prompt-injection attacks, or uncontrolled credential usage. All API keys, environment variables, and credentials are stored securely in an encrypted vault, avoiding the risk of credential-sprawl or storing secrets in plaintext files on local machines. MCPTotal supports discovery and governance; security teams can scan desktops and cloud instances to detect where MCP servers are in use.

SurfSense is an AI-powered research and knowledge management assistant that lets you connect and query all your personal and team data in one place using natural language, acting as a highly customizable open source alternative to tools like NotebookLM and Perplexity. It lets you link internal knowledge sources such as Notion, GitHub, Slack, Gmail, Google Drive, YouTube, and other apps, then build a unified searchable knowledge base where you can ask questions and get cited answers in real time while choosing from over 100 leading LLMs or even local models for privacy and control. It supports real-time collaboration with team presence, roles, and permissions, and centralized workflows to find, ask, and act on information quickly, turning scattered files, messages, and documents into a coherent workspace with powerful hybrid search across connected sources and advanced retrieval techniques.

QuantPilot is an end-to-end agentic crypto strategy and market research platform designed to help users build, test, and deploy trading strategies through autonomous AI agents that handle the full lifecycle of quantitative trading. It acts as a personal “agentic quant,” supporting every stage from research and ideation to backtesting, optimization, and execution within a single environment. Users can collaborate with the system or let it operate autonomously, combining candlestick data with multiple market data sources to run statistical analysis, experiment with indicators, and generate insights without manual coding. It enables backtesting to evaluate profitability, drawdowns, and performance metrics before going live, ensuring strategies are validated through historical data. It also supports advanced optimization, where users can guide improvements or allow long-running automated optimization cycles to refine strategies continuously.

Langflow is a low-code AI builder designed to create agentic and retrieval-augmented generation applications. It offers a visual interface that allows developers to construct complex AI workflows through drag-and-drop components, facilitating rapid experimentation and prototyping. The platform is Python-based and agnostic to any model, API, or database, enabling seamless integration with various tools and stacks. Langflow supports the development of intelligent chatbots, document analysis systems, and multi-agent applications. It provides features such as dynamic input variables, fine-tuning capabilities, and the ability to create custom components. Additionally, Langflow integrates with numerous services, including Cohere, Bing, Anthropic, HuggingFace, OpenAI, and Pinecone, among others. Developers can utilize pre-built components or code their own, enhancing flexibility in AI application development. The platform also offers a free cloud service for quick deployment and test

Create AI agents that reason, plan, reflect, and refine to produce high-quality reports based on source materials of your choice. An AI research agent, informed by many data sources, can synthesize hours of research in minutes. The AI-Q NVIDIA Blueprint enables developers to build AI agents that use reasoning and connect to many data sources and tools to distill in-depth source materials with efficiency and precision. Using AI-Q, agents summarize large data sets, generating tokens 5x faster and ingesting petabyte-scale data 15x faster with better semantic accuracy. Multimodal PDF data extraction and retrieval with NVIDIA NeMo Retriever, 15x faster ingestion of enterprise data, 3x lower retrieval latency, multilingual and cross-lingual, reranking to further improve accuracy, and GPU-accelerated index creation and search.

Orthogonal provides specialized development services focused on building and scaling Software as a Medical Device (SaMD) and connected medical device systems, combining modern engineering practices with strict regulatory compliance. Their approach spans the full product lifecycle, including user experience design, human factors integration, requirements definition, risk analysis, Agile software development, and verification and validation to ensure both functionality and safety. It emphasizes the use of Agile methodologies adapted to regulated environments, enabling iterative development, faster feedback cycles, and continuous improvement while maintaining compliance with standards such as FDA, EU MDR, and ISO frameworks. Orthogonal supports the development of mobile, web, and desktop applications, cloud-based systems, AI algorithms, and SDKs that integrate with third-party platforms, allowing medical devices to connect, process data, and deliver insights.