SiteVue AI's $7M Seed Bets on Video as the System of Record for Physical Work

SiteVue AI has closed a $7M seed round for an AI video-analytics platform built for manufacturing and other physical worksites. The Franklin, Tennessee company uses mounted and wearable cameras to turn cycle times, safety events, quality problems, labor utilization, and process variation into operational data — effectively bringing computer vision to factory floors where important information is often trapped in motion, memory, and manual reporting.

Penny Jar Capital and Overture led the round, with Silence, Spring Bank, Mana Ventures, Outset Capital, WaterStone, and Untapped Ventures participating. According to SiteVue's SEC Form D, exactly $7M was offered and sold to 11 investors; the filing lists May 4, 2026, as the first sale date and May 13 as the filing date. The company was incorporated in Delaware in 2025, and founder and CEO Andrew Jebasingh signed the filing. Valuation, individual check sizes, total funding to date, and a formal allocation of proceeds were not disclosed.

SiteVue's pitch is distinct from the typical reporting layer bolted onto an existing stack. The company says its product can deploy in days without integrations or infrastructure changes, records no audio, and processes video in a closed system independent of a customer's IT infrastructure. That matters because manufacturers often resist transformation projects less from a lack of ambition than from a fear of implementation drag.

The round arrives as industrial AI faces a different value test than office copilots. A writing assistant earns attention by saving minutes; a factory-floor system earns attention by improving throughput, reducing rework, catching safety risks, or making labor allocation more accurate. SiteVue is selling into the ledger operators already understand: time, output, quality, safety, and margin. The company reports up to 8.7% productivity improvement in one month and up to 3% gross-profit improvement in three months, and its brand standards cite typical results of 10-20% better floor efficiency, 5-10% labor-hour recovery, and a 90% reduction in safety incidents. Those are company-reported marketing claims rather than independently audited benchmarks, but they show the business case SiteVue is taking to manufacturers.

There is also a human question inside the technology. Video analytics on the shop floor can help managers find weak processes, investigate incidents, and train teams faster, but the same technology can feel punitive if governance, access, and purpose are vague. SiteVue emphasizes no audio, closed-system processing, and recognition of top performers, yet customers will still need clear policies around consent, retention, review, and how performance data affects workers. Industrial AI adoption will depend as much on trust and operating discipline as on model accuracy.