AI that turns physical events into better operations.
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.

Manako doesn't just detect and track, it understands. Ask what you want to know, and your Analytics Agent surfaces the trends, patterns, and insights hidden in your video data.

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 live with Avia Thevenin & Ducrot to scale Physical AI across fuel retail, starting with 124 unmanned stations.

Most forecourt cameras only watch the pumps. The same feeds can cover the till, forecourt, cold aisle, car wash and exit, with no new hardware.

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