Truffle AI provides a serverless platform for building, deploying, and managing AI agents, offering a JavaScript/TypeScript SDK that abstracts cloud infrastructure and handles auto‑scaling, state management, and monitoring. The platform’s open‑source Dexto orchestration layer connects to over 100 LLM providers via a multi‑cloud protocol and includes built‑in RAG connectors for external data sources, enabling developers to integrate intelligent agents without vendor lock‑in.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Developers and product teams must provision, configure, and maintain complex cloud infrastructure to run AI agents, which slows time‑to‑market and creates operational overhead. Integrating large language models (LLMs) and retrieval‑augmented generation (RAG) capabilities into existing applications often requires custom glue code and manual scaling logic.
Solution
Truffle AI offers a serverless AI agent platform that abstracts all underlying infrastructure while exposing a concise SDK for building, deploying, and managing agents. The open‑source Dexto orchestration layer connects to over 100 LLM providers via a multi‑cloud protocol (MCP), enabling developers to select the best model for each use case without vendor lock‑in. Agents run in a fully managed, auto‑scaling environment, handling state persistence, retries, and conditional branching automatically. Built‑in RAG modules let agents pull context from external data sources, and the platform provides RESTful and WebSocket APIs for seamless integration with existing software stacks. Developers retain full control over prompts, logic, and security policies while the platform takes care of deployment pipelines, monitoring, and cost‑optimized scaling.
Target Audience
The primary customers are software developers, product engineers, and AI‑focused teams in SaaS companies that need to embed intelligent agents into their applications without managing cloud infrastructure.
Features
- Developer‑friendly JavaScript/TypeScript SDK with one‑line initialization and declarative agent definition
- Serverless execution engine that auto‑scales based on request volume and enforces per‑agent resource quotas
- Multi‑cloud protocol (MCP) supporting 100+ LLMs, including OpenAI, Anthropic, Cohere, and self‑hosted models
- Built‑in Retrieval‑Augmented Generation (RAG) connectors for databases, vector stores, and document repositories
- Automatic state management and checkpointing for multi‑step workflows, with configurable retry and error‑handling policies
- Conditional logic and branching DSL allowing complex decision trees without custom orchestration code
- Secure API gateway with API‑key authentication, role‑based access control, and end‑to‑end TLS encryption
- Pre‑packaged agent templates for common use cases such as prospect outreach, natural‑language SQL querying, and voice‑assistant CRM updates