Arbor Raises $6.3M to Turn Frontline Voices into Operational Intelligence

Arbor, the AI research platform for enterprise operations, led by Veronica Ma, Kelly Zhou, and Ashish Dsa, has raised $6.3 million in combined seed and pre-seed funding. The seed round was led by 645 Ventures, with participation from Next Play Ventures (led by LinkedIn Executive Chairman and former CEO Jeff Weiner), Chaac Ventures, Comma Capital, and notable angel investors, along with a previously unannounced pre-seed round.

Those closest to enterprise operations hold critical insight into what works and what needs to change, yet this perspective rarely reaches decision-makers. Traditional surveys and consulting approaches are too slow and costly to capture these insights at scale.

Arbor closes this gap by using AI-powered interviews with frontline employees and customers, transforming large volumes of conversation into executive-grade intelligence in minutes rather than months.

The platform is already used by operationally complex enterprises, including multi-billion-dollar transportation providers and large-scale food manufacturers. High participation rates of 85–90% are translating frontline insight into the identification of operational bottlenecks and seven-figure cost savings.

A growing crisis of wasted operational knowledge is emerging across warehouses, retail locations, and manufacturing floors, as frontline insight often goes unheard. Significant value is lost when organizations fail to systematically capture and act on this ground truth.

While these insights have always existed, traditional research methods rely on slow, costly consulting or low-impact surveys that deliver outdated results. Arbor addresses this gap by automating large-scale conversational research, running thousands of interviews in parallel and surfacing real-time patterns, expanding insight from dozens of voices to thousands.

The opportunity to reshape how enterprises capture qualitative, conversational insight is substantial, with Arbor positioned to address it through a combination of AI expertise and deep operational understanding. Early traction with large, complex enterprises has reinforced investor confidence as the company scales.

The new capital will support team expansion across engineering, product, and go-to-market functions, and accelerate product development to serve additional industries and use cases.