Build an AI Knowledge Agent with an Embedded Integration Platform
Learn how to build an AI knowledge agent with embedded integration platform Cyclr to and expand your SaaS capabilities.
Integration For AI Product Companies
Integrate external applications and data sources to boost your AI agents capabilities
Ingest knowledge from different sources
Cyclr connects your AI to all your data. It effortlessly bring content and data into your AI solution from various sources while keeping everything synchronized and easy to manage.
An embedded iPaaS, like Cyclr, can seamlessly integrate with a wide range of content libraries and data sources – each with unique formats and capabilities such as Google Drive, Dropbox, BigQuery and WordPress.
So you can create the next generation of Chatbots, Agents and Voice Assistants, powered and trained on your, and your customers’, data.
Rapidly Prototype AI Ideas with Cyclr and SaaS Integrations
The AI space is booming with new and exciting use cases driven by constant innovation. Businesses need a fast and flexible way to explore these ideas and bring them to live. With CYCLR, you can quickly prototype those AI solutions by connecting with a variety of SaaS applications.
This allows you to test concepts, refine them, and demonstrate real value to your customers, without long development cycles. CYCLR’s embedded iPaaS makes integrations smooth and effortless, so you can focus on creativity and results.
Multi Tenant AI Automation Solution
Cyclr’s multi-tenancy architecture ensures that all your users’ installed integrations and automations are installed in their own ring-fenced account – keeping all customizations and authentication details separate and secure.
This means you can deploy your AI integrations at scale, making use of an architecture that ensures that AI prompts and responses don’t leak data across tenants and correctly scopes data per tenant at the workflow level.
Discover our MCP PaaS
Transform your SaaS data into natively AI accessible data points. Enable your users to create their own MCP servers, from within your application, so they can interact with their data from their AI model of choice.
Leveraging a fully multi-tenanted infrastructure, MCP PaaS puts security at it’s core – with built in OAuth, usage reporting and management tools.
- MCP Server Marketplace
- MCP Templates
- Customisation and scale
- Native embedded agent marketplace
- Built in data protections
- Unified monitoring and audibility
- Customer self-service tool creation
- Dynamic activation and deactivation
- Secure high-value write operations
- Embeddable MCP Server Marketplace
- Fully multi-tenanted solution for data segregation
- Built-in OAuth security
- Compatible with all AI models
- Go live in days
Effortlessly connect data for intelligent AI Agents
When developing AI agents—such as a Report Agent—access to reliable and diverse data sources is essential. These agents need to gather and process files, documents, and structured data from multiple platforms to function effectively.
With Cyclr, you can easily connect your AI agents to the tools your team already uses. Our embedded iPaaS enables seamless integration with a wide range of content libraries, including Google Drive, Dropbox, and Microsoft 365. Each platform has its own format and structure, but CYCLR handles these differences effortlessly.
This means your agents can access the information they need without additional development work. You save time, reduce complexity, and ensure consistent data flow across your solutions.
Publish your agents/AI Solution to Slack for easy access in the flow of work
Empower your users to interact with your AI solution directly within their preferred communication tools. Enhance the user experience by minimizing context-switching, reducing disruptions, and allowing users to find answers without breaking their workflow.
With our embedded iPaaS, you can seamlessly integrate with a variety of communication platforms—such as Slack and Microsoft Teams—ensuring your AI solution is accessible where your users already work.
Why use Cyclr to enhance your AI SaaS platform?
- Ingest Data from external SaaS applications
- Finer controls over third-party data access
- Make your AI Agent available in external platforms
- Built in looping and logic for large datasets
- Publish integrations in-app for your users to install
- Multi tenancy for ringfenced AI integration deployment
Build an AI Knowledge Agent with an Embedded Integration Platform
SaaS products is developing their own AI knowledge agent/chatbot require connections via a Retrieval Augmented Generation (RAG) approach. RAG helps large language models (LLMs) provide more relevant responses and allows your AI model to utilize external data sources for tailored context-aware replies.
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Building Intelligent AI Agents for Enterprise Solutions
Organizations that require domain-specific knowledge and automation capabilities, so AI agents must integrate with enterprise systems and documentation. This is where Retrieval-Augmented Generation (RAG) and embedded iPaaS (Integration Platform as a Service) come into play.
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Neural Voice, Case Study
Learn how Neural Voice work with Cyclr to expand their integration coverage with their AI powered platform, to providing users with automation functionality.
How can Artificial Intelligence and LLMs be used with Intent-Driven Workflows
Cyclr CTO Nic Butler dives into artificial intelligence and specifically LLMs and how they can be used for intent-driven integrations.