Sprouts.ai, a Palo Alto-based startup building AI agents for enterprise revenue teams, has raised US$9 million in pre-Series A funding, as investors continue to back software companies trying to automate parts of the B2B sales and marketing stack.
The round was co-led by True Global Ventures and Accel, with participation from Kickstart Ventures, the corporate VC arm associated with the Philippines’ Ayala group. The new round brings Sprouts.ai’s total funding to US$14 million.
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Founded in 2023 by Karan Chaudhry, Kapil Chaudhry, and Avinash Nagla, Sprouts.ai is building what it calls a Deep AI GTM Engine. The platform combines customer intelligence, account data, buyer committee mapping, relationship networks, product heatmaps, complex search, and AI-powered workflows to help enterprises identify, engage, and convert target customers.
The company says the funding will go towards improving its AI agent capabilities, deepening enterprise integrations, and expanding its platform.
A bet on AI-native sales infrastructure
Sprouts.ai is entering a crowded but active category: B2B revenue technology. For years, enterprise sales and marketing teams have stitched together customer relationship management systems, enrichment databases, sequencing tools, analytics dashboards, marketing automation software, and intent-data products. The result is often expensive, fragmented, and heavily dependent on manual data cleaning.
“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 pitch is timely. Enterprises are under pressure to show practical returns from generative AI after two years of experimentation. Revenue operations is one of the obvious targets: sales teams generate large volumes of structured and unstructured data, but much of it sits across CRM systems, email, call transcripts, spreadsheets, and third-party tools.
Sprouts.ai says its software connects with enterprise systems such as Salesforce and Microsoft Dynamics, as well as large language models including Claude. It aims to help teams move from prospecting and account research to workflow execution inside the systems they already use.
The company claims customers using its platform have reported a threefold increase in ideal customer profile-qualified leads, a 25 per cent lift in sales qualified leads, a threefold improvement in response rates, and a 35 per cent reduction in GTM tooling costs. These figures are company-provided and have not been independently verified.
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Its customers include Razorpay, Hewlett Packard, HighRadius, and Udemy.
The opportunities in Southeast Asia
Although Sprouts.ai is headquartered in Palo Alto, the Southeast Asian angle is not incidental. Kickstarts’s participation gives the company a regional investor with links to one of the Philippines’s largest conglomerates, and the problem Sprouts.ai is trying to solve is visible across the region.
Southeast Asia’s enterprises operate in fragmented markets with different languages, regulations, buyer behaviours, and levels of digital maturity. A regional B2B sales team may need to map accounts across Singapore, Indonesia, the Philippines, Vietnam, Thailand, and Malaysia, each with uneven public company data, inconsistent job-title structures, and different procurement norms.
This makes generic global go-to-market databases less useful than they appear on a slide. Many international sales intelligence tools have stronger coverage in North America and Europe than in Southeast Asia, where company registries, SME data, buyer contacts, and intent signals can be patchier.
Data readiness is also a broader barrier to AI adoption. Cisco’s 2024 AI Readiness Index found that only 13 per cent of organisations globally were fully ready to capture AI’s potential, with data infrastructure and governance among the main constraints. For Southeast Asian enterprises, those gaps are often compounded by legacy systems, business-unit silos, and markets where offline relationships still shape B2B sales.
That is the opening Sprouts.ai is targeting: not simply another sales tool, but an intelligence layer that can make AI agents useful because the underlying account and buyer data is cleaner.
“We’re entering an age where the businesses that win will be the ones who truly understand who their customers are,” said Joan Yao, General Partner at Kickstart Ventures. “As AI agents take on more of the work of finding, understanding, and engaging the right customers, that data advantage is what will set Sprouts.ai apart.”
Competition is already intense
Sprouts.ai will not have the market to itself. The B2B sales intelligence and revenue operations category includes established global players such as ZoomInfo, 6sense, Demandbase, Apollo.io, Lusha, Cognism, and Clearbit, now part of HubSpot. Clay has also gained attention among growth teams for combining data enrichment, prospecting workflows, and AI-assisted outbound execution.
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Large enterprise software vendors are also moving down the same path. Salesforce, Microsoft, HubSpot, and Adobe are embedding AI assistants and automation into their revenue clouds and marketing suites. That creates a difficult strategic question for startups: can they build a defensible intelligence layer, or will incumbents absorb similar capabilities into existing enterprise contracts?
Sprouts.ai’s answer appears to be data depth and agentic execution. Instead of selling only a database or workflow tool, the company is positioning itself as a unified GTM intelligence layer that sits across the full funnel, from ideal customer profile definition to closed-won deals.
The approach could appeal to enterprises that are already paying for multiple revenue tools and now face pressure to rationalise software spending. It could also resonate in markets such as Southeast Asia, where companies want AI adoption but may not have the internal data quality required to deploy autonomous workflows reliably.
Funding follows a broader AI shift
The round also reflects a broader shift in venture capital. Investors are no longer backing generative AI only at the foundation-model layer. Capital is flowing into applied AI companies that target specific enterprise functions, including customer support, software development, legal operations, finance, HR, and sales.
For this part of the world, this is particularly relevant. The region is unlikely to produce many companies competing directly with OpenAI, Anthropic, Google DeepMind, or xAI at the infrastructure layer. But applied AI companies that solve local enterprise pain points may have a clearer path to adoption.
Google, Temasek, and Bain have estimated Southeast Asia’s internet economy at hundreds of billions of US dollars in gross merchandise value, but enterprise software adoption remains uneven across markets. That leaves room for vertical and workflow-specific AI products, particularly in areas where local data, integrations, and compliance requirements matter.
Sprouts.ai’s challenge will be to prove that its platform can deliver measurable revenue outcomes beyond early customer claims. Enterprise sales software is a category full of tools that promise better leads and cleaner workflows. Buyers will want evidence that AI agents can improve pipeline generation without creating compliance risks, inaccurate outreach, or another layer of software complexity.
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For now, the company has secured credible investors and a problem large enough to justify attention. The harder part begins after the funding: showing that AI-native revenue operations can move from boardroom talking point to repeatable enterprise deployment, including in messy, multilingual, and data-fragmented markets such as Southeast Asia.
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