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AuxoAI Raises $20.7M to Expand Its Forward-Deployed AI Teams

AuxoAI raised a $20.7 million Series A led by NTTVC to expand its enterprise AI delivery model. The company says its forward-deployed engineering team has worked with more than 40 clients across industries including manufacturing, health ca

AuxoAI Raises $20.7M to Expand Its Forward-Deployed AI Teams

AI.info Team · Written with AI · fact-checked ·

More than 40 clients, and $20.7 million to grow

AuxoAI says its forward-deployed engineering team has worked with more than 40 clients; now the San Francisco Bay Area company is raising $20.7 million to expand that delivery model. NTTVC led the Series A, announced on Oct. 20. The company says it will use the funding to add global forward-deployed staff, invest in proprietary technology and AI-focused delivery, and expand its presence and strategic partnerships.

AuxoAI’s pitch centers on placing strategists and engineers alongside customer teams rather than delivering AI as a stand-alone tool. The company says those teams study how work is done, capture business context and build AI systems for production use. “AI will fundamentally change how enterprises work, but technology alone will not make that happen,” said co-founders Amaresh Tripathy, Arvinder Pal Singh and Kabir Singh.

Athenahealth and Fogo de Chão describe different uses

The company names clients across manufacturing, consumer goods, health care and telecommunications. Athenahealth Chief Marketing Officer Stacy Simpson says AuxoAI teams helped the health-care company build AI capabilities and agents, alongside staff training and change management. Simpson says that work shortened campaign strategy-to-launch timelines and reduced hours spent on manual reviews, though the announcement provides no figures or baselines for those results.

At Fogo de Chão, Chief Marketing Officer Michael Breed describes using Damia’s synthetic consumer personas in quantitative and panel studies tied to marketing, menu design and pricing. Breed says the personas connect to real customer segments, allowing the restaurant group to compare expected performance with results. The release does not give study sizes, accuracy measures or a quantified account of how much faster those decisions became.

Damia is meant to carry lessons between deployments

AuxoAI calls Damia its proprietary Forward Deployed Engineering Workbench. The company says the software codifies intelligence from several enterprise AI deployments, while its strategists and engineers work with customers to translate business goals into production systems. The announcement describes that combination as a way to build on enterprise context instead of relying on general-purpose AI alone.

The company was founded in 2023 and says it has spent the past three years working with Global 2000 businesses and strategic technology partners. Earlier in 2026, it was named a select AI Pureplay Partner for Google’s Gemini Enterprise Transformation program. AuxoAI’s release places that program within Google’s $750 million investment in enterprise AI deployment.

NTTVC leads as three executives join the round

The financing also includes George Still Jr., Partner Emeritus at Norwest Venture Partners and a longtime Workday board member; Amit Zavery, ServiceNow’s president, chief product officer and chief operating officer; and Giacomo Sonnino, managing director at Charlesbank Capital Partners and former COO of QuantumBlack North America. AuxoAI says all three are joining as strategic investors and advisors. The announcement does not disclose the company’s valuation or the amount each investor contributed.

NTTVC Founding Partner Vab Goel said the firm was drawn to the founders’ mix of technical ambition and customer engagement. “The authenticity and thoughtfulness they bring to customer conversations earn trust,” Goel said. He described that trust, combined with enterprise knowledge and deployment capacity, as the basis for long-term customer partnerships.

The funding plan leaves the delivery economics open

AuxoAI’s raise backs a model that combines embedded human teams with proprietary software, but the announcement does not break down how the company earns revenue from either part. It also gives no customer-by-customer deployment figures or independent measures of the business outcomes described by Athenahealth and Fogo de Chão. The release leaves open how many specialists the new funding will add, how much will go to Damia, and what share of future delivery the company expects its workbench to support.

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