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Description
AVES Security Management System is an all-in-one security guard management software built to centralize and automate essential security operations. It combines guard scheduling, patrol management, incident tracking, compliance oversight, and reporting into a single intuitive platform. Real-time monitoring tools allow supervisors to track guards, respond to threats instantly, and receive SOS alerts when incidents occur. The system supports digital logbooks, visitor pass management, training administration, and shift scheduling for seamless coordination. Advanced reporting and analytics dashboards help security managers evaluate performance and identify operational gaps. Designed for scalability, the platform adapts to small teams as well as enterprise-level operations across multiple industries. Mobile and cloud access ensure field officers and administrators stay connected at all times. Automated workflows and audit-ready reports enhance regulatory compliance and reduce paperwork. By consolidating security tools into one system, AVES lowers operational costs and increases efficiency. The result is a streamlined, data-driven approach to modern security governance.
Description
Most security cameras only record. Spot AI gives them a job. It's a video AI platform that layers agentic intelligence onto the IP cameras a business already runs, so footage stops being a passive archive and starts working like a member of the team. Because it's camera-agnostic, there's no need to swap hardware, and most locations are live within days. For remote yards and perimeters, Spot also offers pole, wall, and trailer-mounted units with Starlink backhaul.
Across retail, manufacturing, construction, and logistics, teams use plain-language search to pull up any moment in seconds instead of scrubbing hours of recording. The AI Security Guard reads context to tell routine activity from a real threat, then responds on site with talk-down, lights, and sirens before handing over time-stamped, case-ready clips. For operations, the AI Operations Assistant checks each shift against your SOPs, surfaces drift, and coaches staff with scorecards. In one security operations center review across more than 20 platforms, Spot's contextual detection produced a single-digit false-positive rate, against roughly 50% on traditional systems (customer-reported).
The platform ships with more than 15 pre-trained agents across safety, security, and operations, and its Iris builder lets anyone create a custom detection in minutes using natural language. A hybrid edge-to-cloud setup keeps full-resolution video on site and moves only metadata, which keeps deployments NDAA-compliant and SOC 2. Native iPhone and Android apps put live view and alerts on any phone, and open APIs and webhooks tie video into Slack, Microsoft Teams, access control, POS, and inventory.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Buildertrend
Microsoft Teams
Procore
Slack
Pricing Details
$10/user/month
Free Trial
Free Version
Pricing Details
$2,199 per location
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
AVES Security Management
Founded
2024
Country
India
Website
avessecurity.com
Vendor Details
Company Name
Spot AI
Founded
2018
Country
United States
Website
www.spot.ai/
Product Features
Physical Security
Checkpoint Tracking
Customer Management
Data Collection
Event Management
Incident Management
Investigation Management
Multiple Alarm Queues
Product Features
Physical Security
Checkpoint Tracking
Customer Management
Data Collection
Event Management
Incident Management
Investigation Management
Multiple Alarm Queues