Expose a hardware control endpoint from your product and let afrog.ai handle device routing, safety gates, and telemetry delivery.

Record who approved each physical action before it executed.

Safety trail

Return structured logs with timestamps and device state after each run.

Hardware logs

Stream real-time sensor data and actuator state back into your app.

Live telemetry

Fire hardware actions from sensor thresholds, schedules, or user inputs.

Event-driven triggers

Control hardware from your app in real time

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If you want AI agents to read sensors, actuate devices, and operate autonomously in the real world — afrog.ai is the layer that makes it safe and auditable.

Put AI in control of your physical world.

Define the hardware target once. afrog.ai handles device discovery, driver selection, safety policy, and response mode.

Write the physical action in plain language — read, actuate, calibrate.

Describe the task

Decide which actions require human sign-off before execution.

Set safety policy

Return sensor logs, live telemetry, or a mobile confirmation.

Choose the output

Specify the board, port, or device group the agent should address.

Target the hardware

Tell the agent exactly what to control

afrog.ai connects AI agents directly to real hardware — sensors, actuators, robots, and embedded systems — turning intelligence into physical action.

The AI agent that acts in the physical world.

A focused agent loop that connects AI decisions to real hardware actions.

Define the device, sensor array, or actuator group the agent should control.

The agent reads sensors, reasons over the data, and executes the right physical action.

Act autonomously

Safety gates pause consequential actions until a human approves — then the agent executes.

Confirm before impact

How <b>afrog.ai</b> controls the physical world

afrog.ai combines hardware control, sensor memory, and workflow automation — the operating layer between AI and the real world.

Turn an AI decision into a safe, routed, approved physical action.

Control the right hardware

Remember sensor readings, prior actions, and calibration context.

Keep hardware state and history

Trigger the next hardware step automatically after the agent completes.

Chain physical actions into sequences

It's not just a trigger. It's the physical operating layer.

afrog.ai handles hardware discovery, sensor I/O, actuator control, and approval gates inside one unified agent runtime.

Pause physical actions until a human confirms the command.

Safety gates

Record every hardware action, who approved it, and when.

Audit trail

Select the exact board, sensor, or actuator the agent should control.

Hardware targeting

Stream live hardware telemetry back to browser or mobile.

State relay

Automate sensor polling, maintenance checks, and control cycles.

Scheduled runs

Connect to and command hardware directly from your terminal.

CLI control

One platform to control the physical world

Claude

Gemini

Grok

OpenAI

Model layer

Zhaoyang Jia

Design a calm operator workspace for physical world AI control.

Hardware Agent Designer

Build the hardware runtime, device drivers, and agent execution layer.

Founding Engineer

Open roles

Building the operating layer between AI and the physical world.

Team

The same agent layer controls hardware across every industry and environment.

Monitor soil, weather, and crop sensors, then trigger irrigation and climate control automatically.

Smart agriculture

Manage HVAC, lighting, access control, and energy systems through a single intelligent agent.

Smart building

Run AI inference and hardware control directly on embedded boards without cloud latency.

Edge intelligence

Monitor patients through connected medical hardware with auditable, approval-gated actions.

Healthcare devices

Control factory equipment, monitor production lines, and react to sensor anomalies in real time.

Industrial automation

Give robots autonomous decision-making, adaptive motion control, and safe human-in-the-loop approval.

Agent runtime endpoints.