Funding news · Sep 25, 2026

Meadow AI Raises $13.1M Series A for Multimodal Restaurant Operations Platform

Meadow AI Secures $13.1M Series A

Meadow AI, a Seattle-based startup building a multimodal AI platform for physical operations, has raised a $13.1 million Series A round. The funding was disclosed on September 25, 2026.

What Meadow AI Does

Meadow AI gives restaurant and retail chains real-time visibility into their physical operations. The platform is designed to automate the manual secret-shopper audit — a process that has traditionally relied on human auditors visiting locations and reporting back on customer experience and staff performance.

The company's approach combines several data sources and AI techniques:

  • Computer vision on video to observe what happens inside a location
  • Natural-language processing on audio to analyze spoken interactions
  • Feeds from point-of-sale, labor and inventory systems to add operational context

Together, these inputs are used to score customer experience and staff performance. An AI agent then recommends actions intended to lift revenue, consistency and labor efficiency.

Company Background

Meadow AI was founded in 2024 by four entrepreneurs who previously worked together at Modus. The company emerged from stealth in November 2025.

At the time of its emergence from stealth, Meadow AI reported more than $2.5 million in contracted annual recurring revenue. Its customers span restaurant chains, beauty-supply stores, and arcade-plus-food concepts — a customer base that reflects the platform's applicability beyond a single vertical.

Round Details

ItemDetail
Round typeSeries A
Amount$13,100,000
CurrencyUSD
DateSeptember 25, 2026

No lead investor was disclosed for this round, and no additional participating investors were listed in the funding data.

Why This Matters for the Category

The raise places Meadow AI among a growing set of companies applying multimodal AI to physical-world operations rather than purely digital workflows. By targeting the secret-shopper audit — a labor-intensive, sampling-based process — the company is positioning automation against a task that restaurant and retail chains have long struggled to scale across large footprints.

The combination of video, audio, and system-of-record data is notable because it moves beyond single-modality monitoring. Scoring customer experience and staff performance requires correlating what was said, what was seen, and what the transaction and labor systems recorded. That correlation layer is where Meadow AI's platform is focused.

The reported $2.5 million-plus in contracted ARR at stealth emergence gives the company a commercial baseline as it enters its Series A phase. Contracted ARR, as a metric, reflects committed recurring revenue rather than one-time deployments, which is relevant for a company selling into multi-location chains.

What to Watch

With fresh Series A capital, the key questions for Meadow AI will center on how it expands its customer base across the restaurant, beauty-supply, and entertainment-food segments it already serves, and how it deepens the AI agent's action recommendations beyond scoring into measurable revenue and labor outcomes.

The absence of a disclosed lead investor in the funding data means the round's syndicate composition is not publicly detailed at this time.

Summary

  • Company: Meadow AI, Seattle
  • Founded: 2024, by four ex-Modus entrepreneurs
  • Product: Multimodal AI platform for real-time visibility into physical operations, automating manual secret-shopper audits
  • Customers: Restaurant chains, beauty-supply stores, arcade-plus-food concepts
  • Traction at stealth exit: More than $2.5M in contracted ARR
  • Round: $13.1M Series A, dated September 25, 2026
  • Lead investor: Not disclosed
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