Eclatira

Eclatira is a platform for powering applications with conversational voice and video AI. It lets developers build conversational agents with native voice, camera, and screen sharing, and then connect those agents to their own APIs, MCPs, and more than 3,000 apps. The product is described as a conversational video agent that plugs into any stack, giving developers native voice-to-voice, live vision, and full-stack execution across custom APIs, MCPs, and a large library of connected apps. Its stated goal is to help teams ship autonomous multimodal video agents quickly, with agents that are fast enough to barge in and sharp enough to see what you show them. The primary audience is developers and product teams who want to add real-time conversational video intelligence to their own software. Teams can start building through the web app, book a demo, or create agents, upload documents, define tools, and start calls through a versioned REST API. Most conversational agents have been built as text-first systems, with voice treated as an add-on layer. Eclatira takes a different starting point: voice and video are native to the session, and audio and video stream through the same bidirectional pipeline from the start. Another common obstacle is integration. Connecting an agent to a company's own systems usually means writing custom integration code for every service. Eclatira states that developers can connect agents to APIs, MCPs, and 3,000+ apps without writing custom integration code. The company's own FAQ frames the questions teams ask before adopting this kind of tool, including how Eclatira differs from a chatbot that also does voice, how the web widget compares with telephony, how fast a real conversation feels in practice, how long it takes to get an agent live, whether code is required to connect your own APIs, how recorded audio and video are handled, and whether video costs more than voice. The video engine is built around live visual input processed in the same real-time stream as voice. When a webcam is pointed at the agent, it perceives the live video stream continuously and tracks what changes in the frame while the conversation keeps going, so visual awareness does not interrupt the dialogue. Screen sharing works the same way as camera input: the agent watches what is on screen and can guide someone through a page, a form, or a piece of software step by step. The agent can also read what is in frame. Point the camera at a printed page, a screen, or a label and it reads the text through OCR, then acts on what it has just read. Beyond text, the agent identifies physical objects, products, and packaging in frame with high accuracy, which the product positions as useful for guided troubleshooting or visual verification. Video is processed at up to 30 frames per second against the same sub-800ms latency budget as voice, so visual understanding keeps pace with the conversation. On the voice side, Eclatira uses native voice-to-voice processing, which it describes as the reason an agent responds at conversational speed. The site separates this from a chatbot that also does voice, framing native voice-to-voice as a different starting point. Voice and video run through one pipeline: audio and video stream through the same bidirectional session, so the agent can talk about what it is seeing in the same breath. The core capabilities list separates the video engine, voice engine, telephony, agent builder, knowledge and tools, web widget, and platform and API, indicating that agents can be reached both through a web widget embedded in an application and through telephony. Agents can be assembled in two ways. In the agent builder, you describe the job in plain language, then refine the prompt, voice, and tools until the agent is ready to ship. This makes the builder the place to shape what the agent knows and how it behaves before it goes live. The platform also exposes a versioned REST API, where developers can create agents, upload documents, define tools, and start calls programmatically, which suits teams that want agent creation and call handling to live inside their own systems. Knowledge and tools are listed as a core capability alongside the web widget, suggesting that agents can be grounded in uploaded material and given tools to act with. Integrations extend that reach: agents connect to custom APIs, MCPs, and more than 3,000 apps without custom integration code, and public documentation is available for the API. The underlying approach is a single bidirectional session that carries audio and video together in real time. Live camera and screen input are processed in the same stream as voice, part of one session from the start, so the agent's understanding of what it sees and its spoken response are handled together rather than as separate processes joined after the fact. Latency is managed as a shared budget: video runs at up to 30 frames per second under the same sub-800ms target that voice uses. Agents are created either conversationally in the builder or programmatically through the versioned REST API, and are then connected to external systems, tools, and documents so they can execute rather than only converse. For users, the benefit of native voice-to-voice is responsiveness at conversational speed, which is the difference between a natural exchange and a slow one. Real-time vision means the agent can see through a camera or a shared screen while it talks, so support, guidance, and verification happen inside the same conversation instead of across separate steps. Continuous frame tracking keeps the agent aware of changes while the conversation continues. OCR lets it respond to printed pages, screens, and labels it is shown; object recognition lets it identify products and packaging, which the product links to guided troubleshooting and visual verification. Processing video at up to 30 frames per second within the same sub-800ms latency budget as voice means visual understanding keeps pace with speech. Connecting to APIs, MCPs, and 3,000+ apps without writing custom integration code reduces the work required to make an agent useful. Several concrete scenarios follow from the features described. A user can point a webcam at the agent and have it perceive the live stream, which suits situations where someone needs to show something rather than describe it. When a user shares their screen, the agent can guide them through a page, a form, or a piece of software step by step, which fits onboarding, walkthroughs, and support. If someone holds a printed page, a screen, or a label to the camera, the agent reads the text through OCR and acts on it. Object recognition supports guided troubleshooting and visual verification of physical products and packaging. Agents can be deployed through a web widget inside an application or through telephony, and they can be connected to custom APIs, MCPs, and 3,000+ apps so that a conversation can trigger real work across a stack. Eclatira is aimed at developers and teams building conversational agents into their own applications, including those who want to ship autonomous multimodal video agents quickly. The integrations named in the content are custom APIs, MCPs, and 3,000+ apps, with connections described as requiring no custom integration code. Agents can be created in the builder or through a versioned REST API that supports creating agents, uploading documents, defining tools, and starting calls. Delivery channels mentioned are the web widget and telephony. The site offers a free start to building and an option to book a demo. The site also notes that Google Analytics is used and that analytics cookies are only set if a visitor accepts, with a link to the privacy policy. Eclatira's core promise is a conversational agent that both hears and sees in real time and can act across a company's existing stack. By making voice and video native to a single bidirectional session, adding OCR and object recognition on live frames, holding to a sub-800ms latency budget, and connecting to APIs, MCPs, and 3,000+ apps without custom integration code, it gives developers a way to build multimodal agents fast enough to keep a real conversation going.