Sprouts.ai Raises $9M as Investors Bet on the Data Layer Behind Enterprise AI

The Palo Alto-based startup has secured a $9 million Pre-Series A round co-led by True Global Ventures and Accel to expand its AI-native revenue platform, reflecting growing investor confidence that enterprise AI’s biggest opportunity lies beneath the application layer.

Sprouts.ai, a Palo Alto-based AI-native startup, has raised $9 million in a Pre-Series A funding round co-led by True Global Ventures (TGV) and Accel, with participation from Kickstart Ventures. The latest investment brings the company’s total funding to $14 million and underscores a growing shift in enterprise AI investment, where investors are increasingly looking beyond applications and toward the data infrastructure that enables AI to operate effectively.

The new capital will support the expansion of Sprouts.ai’s AI agent capabilities, deepen integrations with enterprise platforms, and accelerate growth of its proprietary GTM intelligence platform designed to help organizations identify, engage, and convert ideal customers through unified customer intelligence and autonomous AI workflows.

The excitement surrounding generative AI has largely focused on what AI applications can do. However, many enterprises continue to struggle with fragmented technology stacks that limit the effectiveness of those applications. Sales and marketing organizations commonly operate across multiple CRM systems, customer databases, engagement platforms, analytics tools, and productivity applications, creating disconnected datasets that reduce the accuracy of AI-generated recommendations.

Sprouts.ai aims to address that challenge through its proprietary Deep AI GTM Engine, which combines customer intelligence with AI-powered workflows across the revenue lifecycle. Rather than replacing existing enterprise software, the platform integrates with widely used systems such as Salesforce, Microsoft Dynamics, Microsoft Copilot, and Claude, allowing businesses to layer AI capabilities onto their existing infrastructure.

“The B2B revenue stack is broken. Sales and marketing teams operate across more than 20 tools, work off dirty data, and bolt AI on top of infrastructure that was never built for it,” said Karan Chaudhry, Co-founder and CEO of Sprouts.ai. “We built Sprouts.ai to replace that fragmentation with a unified data and agent layer that actually moves the pipeline.”

The company’s platform combines complex query search, buyer committee mapping, relationship intelligence, product heatmaps, and autonomous AI workflows into a single environment designed to improve go-to-market execution without requiring enterprises to overhaul their technology stack.

Investors Shift Focus From AI Applications to Data Infrastructure

The funding round also reflects a broader evolution in enterprise AI investment priorities. While much of the venture capital flowing into enterprise AI over the past two years has targeted AI assistants, copilots, and workflow automation platforms, investors are increasingly recognizing that sustainable competitive advantage may lie in the quality of enterprise data rather than AI models alone.

While conversing with AsiaTechDaily, Joan Yao, General Partner at Kickstart Ventures, explained that this shift in perspective was a key factor behind the firm’s investment.

“Most of the capital chasing enterprise AI over the past two years has gone toward the application layer, agents, copilots, workflow automation sitting on top of existing systems. Very few teams have been willing to do the harder, less glamorous work of fixing the data underneath. That’s exactly why we think it’s one of the more durable opportunities in the space. As agents take on more of the actual work of finding, qualifying and engaging customers, businesses need to have a reliable view of who their customers actually are.”

Rather than viewing AI infrastructure as a supporting component, investors are beginning to see it as the foundation that determines whether enterprise AI deployments can deliver meaningful business outcomes. Yao also highlighted Sprouts.ai’s integration strategy as another differentiator in an enterprise market where organizations remain reluctant to replace mission-critical systems.

“Sprouts.ai stood out to us because the team wasn’t asking enterprises to rip out Salesforce or Microsoft Dynamics and start over. They built a layer that plugs into what’s already there and makes it usable, which is a far more realistic path to adoption at scale, especially in a region like Southeast Asia where data readiness is already a known constraint on AI adoption. That combination, a genuine data moat plus a low-friction integration model, is what convinced us this is a category worth backing early.”

Her comments point to a growing trend across enterprise software, where interoperability is becoming as important as innovation. Rather than replacing legacy systems, many AI vendors are building technologies that enhance existing enterprise investments, reducing implementation complexity while accelerating adoption.

Addressing Southeast Asia’s Data Readiness Challenge

Although enterprise AI adoption is accelerating globally, the quality and availability of business data continue to vary significantly across regions. According to Sprouts.ai, many global GTM platforms have historically prioritized North American and European markets, resulting in deeper customer datasets for those regions than for Southeast Asia. Limited regional coverage can make it more difficult for businesses operating across diverse Southeast Asian markets to build comprehensive customer profiles and coordinate sales and marketing activities.

As AI becomes increasingly embedded within enterprise operations, these data gaps risk becoming larger operational challenges, particularly for organizations relying on autonomous AI agents to identify prospects, qualify leads, and personalize customer engagement. By focusing on a unified data layer with stronger enterprise integrations, Sprouts.ai is positioning itself to help organizations improve AI readiness without requiring large-scale infrastructure replacement.

Sprouts.ai’s customer base already includes enterprises such as Razorpay, Hewlett Packard, HighRadius, and Udemy, suggesting growing demand for AI-native revenue platforms among large organizations.

According to the company, customers using its platform have reported:

• A 3x increase in ideal customer profile (ICP)-qualified leads
• A 25% increase in Sales Qualified Leads (SQLs)
• A 3x improvement in response rates
• A 35% reduction in go-to-market tooling costs

While these performance figures are company-reported, they illustrate the operational improvements enterprises are seeking as AI becomes more deeply integrated into sales and marketing workflows.

Enterprise AI Is Becoming an Infrastructure Story

Sprouts.ai’s latest funding reflects more than continued investor enthusiasm for artificial intelligence. It signals a broader shift in how enterprise AI is being built and financed. For much of the generative AI boom, attention centered on applications capable of automating customer engagement, sales, and business operations. Increasingly, however, investors and enterprises are recognizing that the effectiveness of those applications depends on something far less visible: accurate, integrated, and trusted data.

As autonomous AI agents assume a greater role in revenue generation and customer engagement, the competitive advantage may no longer come solely from building smarter AI models. It will increasingly depend on creating the data infrastructure that allows those models to operate reliably across complex enterprise environments. Sprouts.ai’s latest funding round suggests that, for many investors, solving the enterprise data challenge is becoming one of the most consequential opportunities in the next phase of AI adoption.

Quick Takeaways

• Sprouts.ai has raised $9 million in a Pre-Series A round, co-led by True Global Ventures and Accel with participation from Kickstart Ventures, bringing its total funding to $14 million.
• The startup is building a unified data layer for enterprise AI, enabling businesses to power AI-driven sales and marketing workflows without replacing existing CRM platforms like Salesforce and Microsoft Dynamics.
• Investors are shifting focus from AI applications to data infrastructure. Kickstart Ventures believes the long-term opportunity lies in fixing fragmented enterprise data, which underpins the effectiveness of AI agents and copilots.
• Southeast Asia’s data readiness remains a key challenge. Limited regional business data coverage and fragmented enterprise systems continue to hinder AI adoption, creating demand for platforms that unify customer intelligence.
• Sprouts.ai says its platform has delivered measurable outcomes for enterprise customers, including a 3x increase in ideal customer profile-qualified leads, a 25% increase in Sales Qualified Leads, a 3x improvement in response rates, and a 35% reduction in go-to-market tooling costs.
• The funding reflects a broader shift in enterprise AI investment. As autonomous AI agents become more prevalent, investors increasingly see reliable, integrated data infrastructure as a strategic differentiator rather than just a supporting technology.