Vendo is a cloud platform that lets developers and businesses launch open‑source applications—such as a modern CRM, self‑hosted AI agents, and an AI voice studio—with a single click and no manual setup. Each deployment runs in an isolated environment, keeping data private, and customers pay only for the compute and token usage they consume, avoiding seat‑based subscriptions.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations that want to use open‑source applications such as CRMs, AI agents, or voice synthesis often face lengthy installation, configuration, and maintenance tasks, as well as unpredictable subscription fees for hosted services. This complexity and cost barrier limits adoption of self‑hosted solutions.
Solution
Vendo provides a cloud platform that lets users launch any open‑source software with a single click and no manual setup. The service provisions isolated infrastructure for each deployment, ensuring data privacy while keeping the underlying code fully accessible. Users are billed only for the resources they consume—such as compute time or token processing—eliminating recurring seat‑based subscriptions. Vendo’s catalog includes a modern CRM, self‑hosted AI agents with persistent memory, and an AI voice studio that runs multiple TTS engines and Whisper transcription locally. All tools expose standard APIs (e.g., GraphQL for the CRM) so data remains portable and can be integrated with existing workflows.
Target Audience
Primary customers are developers, small‑to‑medium businesses, and tech teams that need self‑hosted, customizable open‑source tools without the overhead of manual provisioning or subscription licensing.
Features
- One‑click deployment of any open‑source application from Vendo’s catalog
- Fully isolated runtime environments that keep customer data private
- Pay‑as‑you‑go pricing model based on actual usage (e.g., per‑million token rates for AI models)
- Built‑in GraphQL API for the CRM, enabling flexible data access and export
- Self‑hosted AI agent with persistent memory, scheduled jobs, and messaging‑app integration, replacing SaaS alternatives
- Open‑source AI voice studio with seven TTS engines and Whisper transcription, running entirely on the user’s infrastructure without API keys
- Support for a wide range of large language models (e.g., Llama, Mistral, Gemini) with transparent per‑token costs