Emergent Ventures, Others Invest $2.2m in Potpie

By Dipo Olowookere

About $2.2 million pre-seed round to help engineering teams unify context across their entire stack and make AI agents genuinely useful in complex software environments has been announced by Potpie.

Potpie was established by Aditi Kothari and Dhiren Mathur, who were determined to unify context across the entire engineering stack and enabling spec driven development.

As generative AI adoption accelerates, most tools focus on surface-level code generation while ignoring the deeper problem of context.

Large language models are powerful, but without access to system-level understanding, tooling history, and architectural intent, they struggle in real production environments.

Traditional approaches rely on senior engineers to manually hold this context together, a model that breaks down at scale and fails when AI agents are introduced.

The platform enables teams to automate high-impact and non-trivial use cases across the software development lifecycle, like debugging cross-service failures, maintaining and writing end-to-end tests, blast radius detection and system design.

It is designed for enterprise companies with large and complex codebases, starting at around one million lines of code and scaling to hundreds of millions.

Rather than acting as another coding assistant, Potpie builds a graphical representation of software systems, infers behaviour and patterns across modules, and creates structured artefacts that allow agents to operate consistently and safely.

A statement made available to Business Post on Monday revealed that the funding support came from Emergent Ventures, All In Capital, DeVC and Point One Capital.

The capital will be used to support early enterprise deployments, expand the engineering team, and continue building Potpie’s core context and agent infrastructure, it was disclosed.

“As AI makes code generation easier, the real challenge shifts to reasoning across massive, interconnected systems. Potpie is our answer to that shift, an ontology-first layer that helps enterprises truly understand and manage their software,” Kothari was quoted as saying in the disclosure.

A Managing Partner at Emergent Ventures, Anupam Rastogi, said, “In large enterprises, the real challenge is not generating code, it is understanding the system deeply enough to change it safely.

“Potpie’s ontology-first architecture, combined with rigorous context curation and spec-driven development, creates a structured model of the entire engineering ecosystem. This allows AI agents to reason across services, dependencies, tickets, and production signals with the clarity of a senior engineer. That is what makes Potpie uniquely capable of solving complex RCA, impact analysis, and high-risk feature work even in codebases exceeding 50 million lines.”