SDK-based agent building
Create and deploy agents with a developer-friendly SDK that the homepage says handles infrastructure complexity while leaving control over agent behavior in your hands.
Truffle AI is a low-code platform for building and deploying AI-powered apps and agents, with serverless deployment, RAG storage and workflow controls.
Truffle AI is a low-code AI platform for building and deploying AI-powered apps and agents. Its homepage positions the product around reducing infrastructure work so teams can focus on business workflows rather than deployment pipelines.
The site presents Truffle AI as a system for launching serverless agents that can connect to existing software, use retrieval-augmented generation, manage state, and run tasks through a developer-friendly SDK. The public pages also show product examples for smart outreach, database queries, and voice assistant workflows.
Create and deploy agents with a developer-friendly SDK that the homepage says handles infrastructure complexity while leaving control over agent behavior in your hands.
Launch agents with serverless deployment, automatic scaling, and state management so workflows can run without managing deployment pipelines.
Store and retrieve your documents and knowledge bases with built-in RAG storage, which the pricing page ties to plan-level storage limits.
Use conditional logic, branching, error handling, and retries to shape how agents move through multi-step workflows.
Bring your own model API keys on paid plans and choose from supported premium models such as GPT-4o, Claude Sonnet 3.5, and Gemini models listed on the pricing page.
Build for specific workflows like outreach, database queries, and voice-assisted bookings using the examples shown on the homepage.
Use Truffle AI to automate prospect research and generate personalized outreach emails, letting an agent prepare first-pass messaging before handoff to sales.
Query a database with natural language and receive insights or visualizations without writing complex SQL for every request.
Deploy a voice assistant that can handle bookings and update CRM records while providing around-the-clock customer support.
Build internal agents that reference company documents or knowledge bases through RAG storage so responses stay grounded in your own materials.
Create custom multi-step workflows with conditional logic, branching, retries, and error handling for processes that need more than a single prompt-response loop.
The source shows Truffle AI as a low-code AI platform for building and deploying AI-powered apps and agents. The app and pricing pages indicate account-based usage, but they do not provide a detailed setup walkthrough.
The pricing page includes plans for individuals, professionals, small teams, growing teams, and enterprises. Business plans add collaboration features, higher limits, advanced analytics, and support options, while the enterprise plan adds custom integrations and dedicated account management.
The homepage highlights agents for smart outreach, database querying in natural language, and voice-assisted booking and CRM updates. The platform also describes serverless deployment, state management, and RAG storage, which suggests the output is deployed agents that can act on workflows and data.
The pricing page states that credits are consumed when agents run, based on the model used and the length of input and output. It also says users can buy additional credit packs if they run out before renewal.
The public pages do not list a full connector catalog or detailed limits for integrations, deployment environments, security, analytics, or output formats. The enterprise plan mentions custom integrations, and the business plan includes webhook integrations.