
Eclatira
Conversational Video Agent That Plugs Into Any Stack
427 followers
Conversational Video Agent That Plugs Into Any Stack
427 followers
Plug real-time conversational video AI into any application. Eclatira gives developers native voice-to-voice, live vision, and full-stack execution across custom APIs, MCPs, and 3,000+ apps. Ship autonomous multimodal video agents fast.








Hey Product Hunt! 👋 I’m Moad, cofounder of Eclatira.
Eclatira is a conversational video engine for developers.
It gives your apps the ability to see, hear, speak, and take actions in real time all through one unified engine.
The Problem
Building live conversational video is a plumbing nightmare. Developers have to connect voice, video, vision, APIs, and multiple systems before they can focus on the actual product experience.
The Solution
Eclatira brings it together in one engine.
Connect Eclatira to your application and your AI agent can:
🗣️ Speak naturally with direct voice-to-voice conversations
👁️ See in real time through camera or screen streams
⚡ Take actions through your APIs, MCP servers, and integrations
🔄 Interact continuously while talking, seeing, and acting
No need to build and maintain the entire infrastructure yourself.
Benefits
One conversational engine instead of multiple disconnected pipelines
Lower latency with native voice-to-voice interaction
Multimodal by default voice + vision + actions
Real-world execution through APIs, MCP, and 3,000+ integrations
Faster development spend your time building the experience, not the plumbing
Who is it for?
Eclatira is built for developers and product teams building AI-powered applications that need more than a text chatbot.
Especially teams building:
AI assistants
Conversational agents
Video-first AI products
Customer support experiences
Interactive copilots
Autonomous workflows
Use Cases
Imagine an AI that can:
🖥️ Watch your screen and guide you through a task
📷 See through your camera and interact with what you're showing it
🛠️ Execute actions in your CRM, SaaS tools, or internal systems while talking to you
👨💻 Act as a real-time coding or technical assistant
🏢 Automate customer support workflows instead of simply answering questions
🤖 Turn any application into an interactive AI experience
Special Product Hunt offer: Use code PHLAUNCH for 50% off your first 3 months.
What’s the first app you'd give conversational video powers to? 👀
I’d love to hear what you’re building!
@moad_rahali_semlali Congrats. what i find unique is the merger of voices, vision and actions into one conversational engine. very ineteresting.
@vipul_kumar1280 Thank you!! Appreciate the support!
@moad_rahali_semlali How does Eclatira manage state synchronization between the multimodal input streams and external API action triggers to ensure the conversation remains coherent during latency spikes?
@hemendra_khatik they run async
@moad_rahali_semlali the unified engine concept MCP servers directly opens up some pretty interesting agent workflows.
@amrita_prajapati2 right, that's why we are so excited to see what builders do with this tech
@moad_rahali_semlali Does it support multiple languages for voice interactions ?
@dipanshu_kushwaha5 yes it does, 100 languages and ~400 accents
@odeth_negapatan1 Yes, I know what you mean, we're llm agnostic so we are switching between models and eventually will rollout the feature for the user to select which one to use. For your second question, we reduced the sensitivity for interruption on both sides to make the conversation as natural sounding as possible, We also filter out all irrelevant sounds as much as we can, and ensure the llm ignores background conversations that should be ignored.
Congrats on shipping... How does the product approach privacy when the agent has access to live camera or screen streams? Is there a way to restrict access to the agent to only a specific part of the screen?
@krutiparekh16 as of today we aren't storing any live streams, and won't add that unless we have enough users asking for this feature and it would be disabled by default if users wanted this data.
3,000+ integrations is a lot, how are you handling authentication + permissions across all those apps. And is there a list of all the apps you support?
@subhash_kanagamani We're handling it through integration with a third party, and they are handling all the authentication and permission across the apps.
Customer support is an obvious use case that I can think of, but are there other interesting use cases you have come across when customers started using Eclatira? BTW, congrats on acing the launch. 👏
@divya_kothari1 Thank you!! yeah we have seen use cases from all sectors, and so many domain experts come up with use cases we never have thought of and that's the goal.
Hey, I'm Marrwah a developer at Eclatira .
The main question we keep getting is what our agents are capable of? The honest answer is Eclatira agents provide a tailored solution to every need. For me I have agents that I utilize daily. As a developer I have an agent that reviews my code and talks me through debugging and testing while pointing out edge cases that I missed, just by narrating the behaviors and sharing my screen to show the code. Then I have another that organizes my tasks based on their priority and their estimated implementation time which allows me to not have to worry about it .
The best part is that it takes no longer than a few minutes to create an agent that handles tasks that would have taken me hours to finish, reviewing my PRs, setting up the tasks for the next feature, or writing up documentations. And with some integration it takes no longer than a few hours to create an agent that automates tasks that would take days to complete like going through support tickets and responding to client inquiries and needs.
This is just the starting point, as we continue to build new features and expand the capabilities of our agents the possibilities become endless.
Congrats, team! I imagined an interesting application of this product - SaaS companies allowing these assistants to demo the product to users, onboarding them and helping with their queries!
@kate_ramakaieva love this idea!