Devplan, the intelligence layer for AI-native product development, is emerging from stealth along with announcing $2.5 million in seed funding, enabling the company to accelerate product development, engineering hiring, and early customer deployments.
The funding round was led by AI2 Incubator, with participation from Acequia Capital, Mighty Capital, Grand Ventures, and eLab Ventures. The seed funding will also support expanded engineering hiring, deeper integrations across the software development ecosystem, and additional partnerships with product and engineering organizations adopting AI-native workflows.
"After two decades leading product and engineering teams, I watched talented people lose half their week to coordination work that never resulted in a customer-facing update," said Chris Bee, co-founder and CEO of Devplan. "AI made code generation fast and cheap but internal alignment remains time-intensive and expensive. The answer isn't another dashboard or another meeting. It's an AI-native coordination layer that knows what's happening, surfaces what matters, and sends the right information to the right people before they have to ask."
AI-assisted software development has dramatically increased the speed at which teams can build and ship products. But while software creation has accelerated, coordination has not, according to Devplan.
Devplan is the intelligence layer for AI-native product development. Its product intelligence engine, Weaver, connects tools including GitHub, Jira, Linear, Slack, Notion, Google Workspace, meeting notes and customer feedback into a shared organizational knowledge graph.
By providing the right context to both people and AI agents, Devplan replaces manual status reporting and fragmented workflows with a real-time understanding of what changed, what's at risk, and what needs attention. The result is faster decisions, fewer meetings, and better alignment across the organization.
Devplan’s knowledge graph continuously maintains product and organizational context, so Devplan agent queries return product-focused, context-aware summaries rather than just an aggregation of data sources.
"In the last 6 months, AI got really good at generating code, but that has implications for non-engineering teams," said Yifan Zhang, managing director at AI2 Incubator. "Status updates, stale roadmaps, outdated requirements, alignment meetings, not to mention token costs all compound as code execution speeds up, and that's the opportunity for Devplan. Chris and Anton have lived this problem at scale, and they have the technical depth to solve it. This is the kind of foundational, real-world bet we make at AI2 Incubator."
Devplan is already in production with Axiad, an identity security company and dozens of other fast-growing companies where the platform connects engineering, product, and customer feedback signals into a single understanding of the product, the company said.
To learn more or request a demo, visit https://devplan.com.