ManakobuildstheVisionAgentfromyourdescription.
UploadyourownfootageandseeyourVisionAgentinactiononreal-worldclips—beforeconnectingasinglecamera.
Manakofindsyourcamerasonthenetworkandconnectsthemautomatically.Everythingrunslocallyonyourdevice.
Choosewhereactionsland-Slack,email,orWhatsApp.Instant.Nodashboardrequired.
Hitdeploy.YourVisionAgentgoesliveonyourexistingcameras.Nonewhardware.Nocode.
Manako builds the Vision Agent from your description.
Upload your own footage and see your Vision Agent in action on real-world clips — before connecting a single camera.
Manako finds your cameras on the network and connects them automatically. Everything runs locally on your device.
Choose where actions land - Slack, email, or WhatsApp. Instant. No dashboard required.
Hit deploy. Your Vision Agent goes live on your existing cameras. No new hardware. No code.
Test on your own footage before going live, manage your Vision Agents as a team in one shared workspace, and keep everything running locally on your device. Your data never leaves your hands.
Invite your team to a shared workspace and manage your Vision Agents together. Everyone with access can review events, adjust settings, and take action — all from the same Manako platform.

Everything runs locally on your machine. Manako has zero access to your cameras or footage. Only people with physical access to your device can view cameras or make changes.

A Vision Agent isn't one model trying to do everything, it's a composition of specialist vision skills, each trained to do a single thing extremely well. Tell Manako what your agent needs to watch for, and it selects the exact skills the job requires and composes them into your Vision Agent.

Native integrations for Slack, WhatsApp, Telegram, and email. Alerts go where your team already is.

Every capability available via REST. Build on top of Manako with webhook callbacks and WebSocket streams.

One platform, every site. Manage cameras across 1 location or 50, from retail to logistics to security.

Person detection: 200 images, 5,883 annotations (Open). Vehicle detection: 200 images, 1,792 annotations, 3 classes (Open). All evaluated against independently generated ground truth—no model was involved in GT creation. SAM3: facebook/sam3, 848M params. Roboflow: cctv-naxyo/1 (person), vehicles-q0x2v/1 (vehicle). Vision Efficiency Score E = mAP / S rewards models that maximize accuracy per megabyte of deployment cost.
Speed means nothing without accuracy. Manako sets a new bar for vision computing, benchmarked across latency, precision, and real-time alerting. Against every tool we tested, Manako leads.

Manako turns existing camera networks into real-time operational intelligence. Now backed by TaoWeave to scale Physical AI across North America.

AWS Panorama reached end-of-life in May 2026 and Azure Video Analyzer was retired in 2022. The two largest cloud platforms in the world have both walked away from owning the vision deployment layer for physical operations, and the lesson is now available to every operator that did not lock into either of them.

Out-of-stocks cost retailers more than theft does, and the cameras across every store already see every empty shelf in real time, even though almost none of those signals reach the people who could restock them in time.
Describe what your Vision Agent needs to watch for. Manako builds it, deploys it on your existing cameras, and acts on it automatically in real time. No new hardware. No engineers. No code. This keeps the simplicity message but frames Manako as doing the work — not the customer. That's the infrastructure play, not the self-serve builder play.
