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Manako

Manako is a no-code platform that generates custom computer vision agents from plain-language descriptions of what users want to monitor. The platform lets organizations test agents on their own footage before deployment, then automatically connects existing cameras on the network with everything running locally on the user's device. Deployment follows a four-step flow—describe, review, connect, and notify—requiring no new hardware or engineering resources.

Traction –/10
HQ unknown
15300+ followers
  • Artificial Intelligence
  • AI Agents
  • Software Only
Updated 7 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Businesses that need custom computer vision monitoring typically face long development timelines, high engineering costs, and the need to purchase specialized hardware. Off-the-shelf vision systems rarely match specific operational needs, forcing organizations to either overspend on custom development or settle for generic solutions that miss their requirements.

Solution

Manako offers a no-code platform that generates a custom Vision Agent directly from a user's plain-language description of what they want to monitor. Organizations review and test the agent using their own uploaded footage before going live, ensuring it meets their expectations. The platform then automatically discovers and connects the customer's existing cameras on the network, with everything running locally on the user's device for data privacy and low latency. Deploying the Vision Agent takes just four steps—describe, review, connect, and notify—requiring no new hardware, no engineers, and no code.

Target Audience

Primary customers are operations teams and business managers at facilities with existing camera infrastructure who need custom visual monitoring without hiring computer vision engineers or purchasing additional hardware. This includes sectors like retail, logistics, manufacturing, and security.

Features

  • Natural language interface that converts user descriptions into a working computer vision configuration
  • Pre-deployment testing workflow that lets users upload real-world footage to validate agent performance before camera connection
  • Automatic network camera discovery and connection with no manual setup
  • Fully local processing on the customer's device, keeping video data on-premises
  • Configurable notification recipients to route alerts to the right team members
  • Four-step deployment flow: describe, review, connect, and notify
This profile is AI-generated and may contain inaccuracies.