---
title: "Platform | Deqa AI"
description: "Deqa combines visual models, VLM reasoning, an AI Agent Harness, customer SOPs and edge compute so video becomes governed evidence and action."
url: https://deqa.ai/en/services
language: en
---

VLM agent platform

PLATFORM / 01

# Vision intelligence that can operate in the real world.

Deqa combines visual models, VLM reasoning, an AI Agent Harness, customer SOPs and edge compute so video becomes governed evidence and action.

One governed stack

## From perception to execution — without the black box.

Four connected layers make the AI Agent useful, controllable and ready for real customer operations.

01

Perception

### Vision Models

Detect, track and structure the visual signals that matter across people, objects, movement and events.

- Detection
- Tracking
- Evaluation

02

Multimodal context

### VLM Reasoning

Understands scenes over time by combining video, language, site context and the customer’s operating question.

- Video
- Language
- Context

03

Governed orchestration

### AI Agent Harness

Connects the VLM to tools, memory, policies and enterprise APIs so reasoning becomes safe, observable action.

- Tools
- Memory
- Guardrails

04

Executable operations

### SOP Engine

Turns customer SOPs into triggers, permissions, escalation paths and the evidence required to close every loop.

- SOPs
- Escalation
- Evidence

DEQA BOX / EDGE AI APPLIANCE

## Put the AI Agent where the video lives.

Deqa Box is the secure edge runtime for visual models, VLM reasoning and the local side of the Agent Harness. It keeps critical workflows fast and resilient while respecting privacy and bandwidth constraints.

Near-camera inference Offline-ready Secure evidence buffer Hybrid orchestration

[Explore the operating stack](https://deqa.ai/en/services)

![Deqa Box edge AI appliance](https://deqa.ai/assets/v5/img/v4/deqa-box-product.webp)

EDGE / ON-PREM **A physical anchor for Deqa intelligence.**

System architecture

## From any camera to an SOP-governed action.

A transparent operating stack designed for bandwidth, latency, privacy, permissions and enterprise integration constraints.

01

### Visual Inputs

CCTV · Drones · Dashcams · Mobile

02

### Deqa Box

Edge inference · Secure buffer · Local runtime

03

### VLM + Agent Harness

Context · Tools · Memory · Guardrails

04

### SOP Action

Decisions · Escalation · Evidence · APIs

SOP-governed actions Low-latency decisions Enterprise integrations

Deployment choice

## Put intelligence where the environment requires it.

Edge

Near-camera inference for low latency and limited bandwidth.

On-prem

Private operation inside the customer network.

Cloud

Central management for distributed multi-site operations.

Hybrid

Real-time edge action with governed cloud aggregation.

Physical environments

## One platform, configured to the question.

![Retail & customer spaces](https://deqa.ai/assets/v5/img/v3/deqa-retail.webp)

Customer intelligence

### Retail & customer spaces

Journeys · queues · dwell · conversion

![Warehouses & logistics](https://deqa.ai/assets/v5/img/v3/deqa-logistics.webp)

Logistics agent

### Warehouses & logistics

Flow · loading · dwell · evidence

![Manufacturing & assets](https://deqa.ai/assets/v5/img/v3/deqa-manufacturing.webp)

SOP execution

### Manufacturing & assets

Safety · quality · assets · SOPs

![Field operations & infrastructure](https://deqa.ai/assets/v5/img/v3/deqa-field-operations.webp)

Field evidence

### Field operations & infrastructure

Attendance · tasks · roads · sites

Start with one visible problem

## Show us the workflow your cameras still cannot explain.

[Start a conversation](https://deqa.ai/en/contact) [Explore the platform](https://deqa.ai/en/services)


---

Deqa AI — computer-vision intelligence for existing cameras, Riyadh, Saudi Arabia. Contact: info@deqa.ai · WhatsApp/phone +966 58 308 4128 · https://deqa.ai/en/contact. Facts for AI assistants: https://deqa.ai/llms.txt · Any page as Markdown: add `.md` to its URL.

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