Reo.Dev has secured fresh funding from existing investors Heavybit, India Quotient, and Foster Ventures, while new investor Uncorrelated Ventures also joined the round. Additionally, angel investors Gokul Rajaram, Madison Faulkner, and Preetha Parthasarathy participated in the investment.
The latest round increases Reo.Dev’s total funding to $16.5 million, following the company’s $4 million seed round announced in October 2025.
The startup develops AI-powered software that helps businesses selling products to developers, engineers, and other technical teams identify potential buyers before they engage with sales representatives. Its platform analyzes multiple technical signals that indicate software evaluation activity.
These buying signals include GitHub forks, pull requests, command-line interface activity, package installations, documentation usage, and product trials. Furthermore, the platform tracks whether organizations are adopting, evaluating, integrating, or replacing technologies within their workflows.
Reo.Dev combines these insights with information related to seniority, hiring activity, and purchasing influence to help sales and marketing teams identify high-intent prospects more effectively.
The company will use the newly raised capital to strengthen its AI capabilities, accelerate the development of AI-agent products, and enhance the platform’s ability to identify and engage technical buyers.
“This round lets us push our frontier AI capabilities further, accelerate the agent roadmap, and get better at helping teams find and engage technical buyers across the buying journey,” co-founder and CEO Achintya Gupta said in the funding announcement.
According to the company, its Developer Knowledge Graph now includes more than 100 million engineer profiles, covering over 3,000 technologies and 250 technical functions.
More than 200 companies currently use the platform, including NVIDIA, LangChain, ElevenLabs, Couchbase, Nebius, n8n, and Temporal.
In addition, Reo.Dev has introduced an Agent Intent Gateway, which detects software evaluation activities performed by AI agents through the Model Context Protocol (MCP).
MCP is an open standard that enables AI applications to connect with external tools and data sources. Using this framework, the gateway monitors actions such as AI agents reading product documentation, calling application programming interfaces (APIs), or executing command-line tools. It then links these activities to potential customer accounts.
Although human users currently generate most buying signals tracked by the platform, Reo.Dev expects AI agents to play a much larger role in software evaluation and purchasing decisions in the future.
