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SiteVue AI

Category: Computer Vision

SiteVue AI uses AI-powered video analytics to help manufacturers recover lost profit through cycle time benchmarking, safety monitoring, and workforce productivity insights. SiteVue AI was founded in 2025. The company is led by Andrew Jebasingh. Based in Franklin, Tennessee, United States. Team size: 1-10. Total funding raised: $7M. Latest round: Seed. Key investors include SJF Ventures (Lead); Rogue Women's Fund; Symphonic Capital; Emmeline Ventures; Majella Ventures; Oakwood Circle Ventures; Sand Hill Angels; Swizzle Ventures; Terrasys Group.

Founded
2025
Headquarters
Franklin, Tennessee, United States
Team size
1-10
Total funding
$7M

Value proposition

Deploy in days with no IT integrations or infrastructure changes; customers see payback in as little as one month; +5% gross profit growth in as little as 5 weeks; uses first-person wearable cameras and AI to capture and analyze frontline work

Products and solutions

AI-powered video analytics platform for manufacturing workforce productivity monitoring; cycle time benchmarking; safety monitoring; automated QA/QC inspections; real-time performance dashboards; leaderboard engagement tools

Unique value

AI-powered video analytics that quantifies frontline manufacturing work — deployable in days without IT integration, delivering measurable profit recovery through cycle time benchmarking and safety monitoring

Target customer

Manufacturing companies (automotive, meat processing, chemical manufacturing, construction, ship building)

Industries served

Manufacturing; Automotive; Meat Processing; Chemical Manufacturing; Construction; Food Processing

Technology advantage

AI models trained on factory-specific data to recognize work activities; first-person wearable camera approach; no IT integration required; rapid deployment (days vs months); machine learning models for contextual workflow interpretation

How they differentiate

Unlike generic security camera systems, SiteVue's AI models are trained specifically for industrial/manufacturing contexts to understand what activities are being performed, how they're done, and how long each step takes. Uses first-person wearable cameras rather than fixed infrastructure. Provides contextual interpretation of workflow rather than simple motion detection.

Main competitors

FYLD (AI-powered frontline safety); Drishti (AI video analytics for manufacturing); Samsara (industrial IoT with video)

Notable customers

Meat processing facilities in Kentucky (early customers)

Major milestones

Founded August 2025; Closed $7M seed round by May 2026 (9 months after founding); First customers in meat processing industry; Exhibited at SAE WCX Detroit, MAX Nashville, Annual Meat Conference 2026

Growth metrics

Customers seeing +5% gross profit growth in as little as 5 weeks; payback in as little as one month

Market positioning

Early-stage AI startup focused on manufacturing workforce productivity via computer vision; positioned as a quick-deploy, no-IT-integration solution for frontline operations; differentiated by wearable camera approach and factory-specific AI models

Geographic focus

United States (Nashville/Franklin, TN headquartered; Kentucky meat processing early customers)

About Andrew Jebasingh

Ex-Meta Engineering Manager (2021-2025); Ex-CTO at Watershed Health; Co-Founder at Ironsite; MS in Computer Science from Vanderbilt University

Official website: