Sprouts.ai has raised $9 million in a Pre-Series A funding round to expand its AI-powered revenue platform for business-to-business enterprises. The round was co-led by True Global Ventures and Accel, with participation from Kickstart Ventures, bringing the Palo Alto-based company’s total funding to $14 million. The financing will support the development of its AI agents, deeper enterprise integrations, and continued platform expansion.
Addressing Fragmented Revenue Operations
Founded in 2023 by Karan Chaudhry, Kapil Chaudhry, and Avinash Nagla, Sprouts.ai develops Revenue Agents designed to help sales and marketing teams identify, engage, and convert prospective customers. Its platform is built around a proprietary go-to-market data layer that combines customer intelligence, workflow automation, and AI-driven recommendations. The company says this approach is intended to replace fragmented revenue technology stacks that often require teams to work across numerous disconnected applications.
Sprouts.ai co-founder and CEO Karan Chaudhry said many revenue organizations continue to depend on inconsistent data and infrastructure that was not originally designed for AI. Sales and marketing teams may use more than 20 tools while relying on incomplete customer records, creating operational inefficiencies and limiting coordination. Sprouts.ai aims to consolidate those processes through a unified data and agent layer that supports pipeline development from customer targeting through conversion.
Building for Data-Complex Markets
The company is also positioning its platform as a response to data limitations in Southeast Asia and other markets where global go-to-market databases may provide less comprehensive coverage than in North America or Europe. Incomplete regional datasets can make it harder for enterprises to understand potential customers, map decision-makers, and coordinate outreach across sales and marketing functions. Sprouts.ai argues that its underlying data intelligence can give companies a more detailed and current view of businesses operating in these markets.
The platform combines advanced search, product interest heatmaps, buyer committee mapping, relationship networks, and autonomous workflows. It integrates with enterprise systems including Salesforce and Microsoft Dynamics, while also connecting with AI platforms and large language models such as Microsoft Copilot and Anthropic’s Claude. These integrations allow customers to use Sprouts.ai within existing software environments rather than replacing their core systems.
Reported Customer Outcomes
Sprouts.ai said its platform is already used by companies including Razorpay, Hewlett Packard, HighRadius, and Udemy. According to the startup, customers have recorded a threefold increase in ideal customer profile-qualified leads, a 25% rise in sales-qualified leads, and a threefold improvement in response rates. The company also reports that users have reduced go-to-market technology costs by 35%, although the underlying methodology and customer sample were not disclosed.
Kickstart Ventures General Partner Joan Yao said the ability to understand customers will become increasingly important as AI agents assume a larger role in prospecting and engagement. She added that Sprouts.ai’s data foundation could provide a competitive advantage by helping enterprises identify and understand relevant businesses with greater precision. Kickstart Ventures, the corporate venture capital arm associated with the Ayala group, invests in technology companies addressing business and societal challenges.
Expansion Plans
The new capital will be used to strengthen Sprouts.ai’s autonomous agent capabilities and broaden integrations with enterprise software. The company is seeking to serve organizations that require secure, compliant, and reliable data while modernizing revenue operations across the full sales funnel. Its broader strategy is to compete with legacy sales intelligence, marketing automation, and revenue operations tools through a single AI-native platform.
Sprouts.ai’s latest funding reflects growing investor interest in enterprise AI applications that combine proprietary data with automated workflows. By targeting the fragmented systems and inconsistent information used by revenue teams, the startup is entering a crowded but rapidly evolving segment of the business software market. Its ability to expand data coverage, demonstrate measurable customer outcomes, and integrate securely with enterprise systems will be central to its next stage of growth.