Seattle Startup Meadow AI Raised $7 Million Seed
The company uses video and audio analytics to provide physical retailers with real-time operational visibility.
Updated on Sept. 29, 2026 in Startups
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Seattle-based Meadow AI has raised $7 million in a seed funding round led by Ulu Ventures, bringing its total funding to $13 million since its founding in 2023. This capital injection includes the conversion of $6 million in previous SAFE notes.
Why it matters
The platform aims to grant physical retail businesses the same level of granular, real-time operational visibility that e-commerce brands have long derived from digital customer journey analytics. By automating store monitoring, Meadow AI seeks to address efficiency gaps in the brick-and-mortar sector.
Meadow AI currently processes data across more than nine brands to generate $3 million in contracted annual recurring revenue and $1.4 million in live annual recurring revenue. The company has reported a 6x growth in software usage over the past 12 months.
The players
Meadow AI
A Seattle-based startup providing operational monitoring software for physical retail locations.
Ulu Ventures
A venture capital firm that led the $7 million seed round for Meadow AI.
Tanvir Bhangoo
The newly appointed chief revenue officer for Meadow AI.
The details
The platform functions by ingesting video and audio feeds alongside operational data such as labor schedules and inventory levels. By applying analytical models to these streams, the software flags operational bottlenecks in real time and delivers coaching instructions to frontline store employees. This architecture is designed to turn passive observation into active store management for its 17 employees.
Timeline
2023: Meadow AI was founded in Seattle.
September 29, 2026: Meadow AI announced the $7 million seed funding round.
Next 12 months: The company projects 5x growth.
The Tech Race
Meadow AI is positioning its hardware-agnostic ingestion layer to compete with manual management systems and legacy store audit software. This push brings the company into direct competition with existing store operations tools by quantifying physical actions into actionable data pipelines.
The startup plans to expand its engineering and go-to-market teams over the next year to support its projected 5x growth. Retail employees working at brands using the platform should expect increased integration of automated coaching tools in their daily workflows.
The takeaway
The company's trajectory hinges on its ability to scale from its current footprint of nine brands to a broader market segment. Observers should track the company's hiring rate and the performance of its $1.4 million in live annual recurring revenue over the coming year.
Further reading
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Do you trust that real-time AI monitoring of employees improves service without hurting workplace morale?
