Eclatira is a conversational voice and video AI platform that lets developers build real-time interactive agents capable of native voice-to-voice dialogue, camera perception, OCR, and live screen sharing.
What the product does and how it is positioned
Eclatira provides an infrastructure and developer platform for creating conversational artificial intelligence agents with native voice and visual capabilities. The system operates a unified bidirectional pipeline, allowing agents to converse at conversational speeds, handle interruptions, and analyze video or screen shares simultaneously.
Developers can configure agents through a plain-language builder or programmatically using a versioned REST API. The platform supports knowledge document uploads, custom tool definitions, telephony features such as batch calls and branded caller IDs, and connectivity to external APIs, Model Context Protocols, and third-party applications.
Source-supported ways to use the product
Assists customers using interactive voice conversations combined with live camera or screen sharing to provide guided visual troubleshooting.
Handles inbound organization calls over telephony or web widgets, providing automated answers and managing incoming inquiries.
Engages prospective leads through real-time conversational voice dialogues to capture information and evaluate criteria.
The documented workflow, where available
Describe the agent's responsibilities in plain language inside the visual builder or define the agent schema programmatically through the REST API.
Refine the conversational prompt, upload reference documents, and select the agent's vocal profile.
Define functional tools and connect the agent to external APIs, Model Context Protocols, or third-party software applications.
Launch the agent via web widgets, telephony connections, batch calling schedules, or branded caller identification systems.
Eclatira streams audio and video through a single bidirectional pipeline rather than running disjointed conversational and computer vision models. This unified approach enables the agent to observe changes in the video feed and discuss them without falling out of conversational synchronization.
The video engine processes live camera feeds and screen shares at up to 30 frames per second within a sub-800 millisecond latency budget. Built-in optical character recognition extracts readable text from labels, screens, and printed pages, while object recognition detects physical products and packaging.
The platform provides two configuration paths: an interactive web builder for drafting prompts and voices in plain language, and a versioned REST API designed for programmatic agent creation, tool definitions, and document uploads.
Agents can interface with external systems through developer APIs, Model Context Protocols (MCPs), and a catalog of over 3,000 applications, enabling automated actions during live calls across telephony and web widget deployments.
Checks to run with your own material and workflow
What was checked and when
Answers based on the source-checked product record
Eclatira supports native voice-to-voice calls, live camera video, text chat, and live screen sharing within a single bidirectional session.
Voice and video run through one unified pipeline that processes visual input at up to 30 frames per second within a sub-800 millisecond latency budget.
Yes, the agent uses optical character recognition to read text from pages, screens, and labels, and can identify physical objects, products, and packaging in frame.
Users can build agents by describing tasks in plain language in the agent builder or configure them programmatically using a versioned REST API.
Eclatira supports deployment through web widgets, telephony channels, branded caller ID, and batch calling, alongside integrations with external APIs and MCPs.
