Arda Ozgun
CEO
Edge Signal
10/10Traction
Enterprises in retail, hospitality, and other verticals must manage dispersed edge hardware, ensure data privacy, and extract real‑time insights from video, audio, and sensor streams. Existing solutions often require extensive on‑premise integration, specialized staff, and expose sensitive data to cloud services, leading to high operational overhead and compliance risk. Edge Signal delivers a unified edge computing platform that abstracts hardware complexity while keeping data on‑premise.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Hospitality & Travel Technology
- Internet of Things
- Retail Technology
- Software Only
Updated 5 months ago
Funding
Funding rounds are not available yet.
Founders
Product
Problem
Enterprises in retail, hospitality, and other verticals must manage dispersed edge hardware, ensure data privacy, and extract real‑time insights from video, audio, and sensor streams. Existing solutions often require extensive on‑premise integration, specialized staff, and expose sensitive data to cloud services, leading to high operational overhead and compliance risk.
Solution
Edge Signal delivers a unified edge computing platform that abstracts hardware complexity while keeping data on‑premise. The platform combines a Compound AI Engine—supporting Vision AI, Voice AI, and custom models—with a zero‑touch onboarding process that instantly registers devices and users. A single‑pane‑of‑glass dashboard provides real‑time performance metrics, automated alerts, and AI‑generated insights such as foot‑traffic heatmaps, queue analytics, and compliance scoring. Over‑the‑air (OTA) updates and container‑native deployment enable rapid iteration of edge applications without downtime. Built‑in role‑based access control, SOC 2 and GDPR compliance, and API‑first design ensure secure, auditable integration with existing CI/CD pipelines and enterprise systems. The solution is offered as a scalable, subscription‑based service that lets customers focus on business logic rather than edge infrastructure.
Target Audience
Primary customers are retail chains, hospitality venues, and enterprise IT/OT teams that need secure, real‑time edge analytics and automation without managing underlying infrastructure.
Features
- Zero‑touch device and user onboarding with automated certificate provisioning.
- Single‑pane‑of‑glass management console for fleet monitoring, log aggregation, and AIOps‑driven anomaly detection.
- Compound AI Engine delivering Vision AI (object detection, person re‑identification), Voice AI (speech analytics), and support for custom edge models.
- OTA application deployment for both Dockerized and native workloads, including pre/post‑deployment scripts.
- No‑code/low‑code SDKs and OpenAPI specifications for rapid integration into CI/CD pipelines and third‑party systems.
- Role‑based access control, audit logging, and SOC 2/GDPR‑aligned data handling for on‑premise privacy.
- API‑driven connectors (hundreds of pre‑built) for IoT, cloud services, and enterprise ERP/CRM systems.
- Real‑time dashboards with heatmaps, queue‑time analytics, occupancy tracking, and automated mystery‑shopper scoring.