Eclatira
A conversational video AI agent infrastructure platform designed for developers. It provides voice-to-voice interaction, real-time visual understanding, and cross-stack execution capabilities, supports the MCP protocol and integration with over 3,000 applications, and can be embedded into arbitrary technology stacks.
Timeline (last 90 days)
Eclatira is a developer tool/infrastructure focused on embedding real-time conversational video AI into any application.
Eclatira ranked second on the Product Hunt leaderboard.
Eclatira received 205 upvotes and 22 comments on Product Hunt.
Eclatira provides developers with native voice-to-voice, live vision, and cross-stack execution capabilities.
Eclatira officially claims to support custom APIs, MCP (Model Context Protocol), and integration with over 3,000 applications.
Eclatira is listed under three categories on Product Hunt: API, Developer Tools, and Artificial Intelligence.
The information Eclatira has publicly disclosed is primarily marketing descriptions; its technical implementation, latency performance, pricing model, and actual availability of 3,000+ application integrations remain to be verified.
Real-time video AI places high demands on network bandwidth and inference compute, making cost and stability key factors to evaluate during deployment.
All Facts (6)
Eclatira is a developer tool/infrastructure focused on embedding real-time conversational video AI into any application.
50%UnverifiedEclatira provides developers with native voice-to-voice, live vision, and cross-stack execution capabilities.
50%UnverifiedEclatira officially claims to support custom APIs, MCP (Model Context Protocol), and integration with over 3,000 applications.
50%UnverifiedEclatira is listed under three categories on Product Hunt: API, Developer Tools, and Artificial Intelligence.
50%UnverifiedThe information Eclatira has publicly disclosed is primarily marketing descriptions; its technical implementation, latency performance, pricing model, and actual availability of 3,000+ application integrations remain to be verified.
50%UnverifiedReal-time video AI places high demands on network bandwidth and inference compute, making cost and stability key factors to evaluate during deployment.
50%