Cofia Raises Y Combinator–Backed Funding to Build AI System That Automatically Creates Work Automations
Cofia, a San Francisco–based AI automation startup developing self-writing workflow agents that autonomously learn and execute repetitive business tasks, has raised early-stage venture funding to expand its platform and scale adoption across enterprise users building internal automation systems.
The company is part of the Y Combinator Winter 2026 cohort and has received backing from Y Combinator, which provides seed funding along with accelerator support, technical mentorship, and access to its global network of startups and investors. Cofia’s participation in YC places it within a wave of early-stage companies focused on agentic AI systems that move beyond prompting tools into autonomous execution platforms.
Cofia builds AI systems that observe how users work and automatically generate custom automations tailored to those workflows. Instead of requiring users to manually define prompts, rules, or workflows, the platform identifies repetitive tasks and converts them into deployable automation agents that execute on behalf of the user. The system is designed to reduce manual operational work across functions such as sales, recruiting, outreach, reporting, and administrative coordination.
The company describes its core product as “AI automations that write themselves,” where the system learns from user behavior and identifies recurring actions that can be replaced with autonomous agents. Once a pattern is detected, Cofia builds a personalized automation that users can review and activate, eliminating the need for repeated manual input.
According to company information, the platform is designed to address a key limitation of traditional automation tools, which require users to proactively identify tasks and configure workflows. Cofia instead operates in the background, continuously analyzing work patterns and suggesting automations without requiring structured prompts or setup processes.
Cofia was founded by Moses Wayne and Paola Martínez, engineers focused on applied artificial intelligence and workflow automation systems. The founding team is building infrastructure aimed at bridging the gap between generative AI tools and fully autonomous business systems capable of executing tasks end-to-end within enterprise environments.
The startup operates in the rapidly expanding “agentic AI” sector, where companies are building systems that not only assist users but actively perform tasks across software tools and business workflows. This includes automating functions such as building prospect lists, managing outreach sequences, maintaining recruiting pipelines, and generating recurring reports.
Cofia’s platform is designed to integrate directly into existing work environments and detect automation opportunities based on user activity. Once deployed, its agents continue to improve through usage feedback, enabling more accurate and efficient task execution over time.
The funding from Y Combinator will be used to expand engineering efforts, improve automation detection systems, and scale deployment across early enterprise customers. The company is also investing in strengthening its agent infrastructure to support more complex workflows across multiple business functions.
As organizations increasingly adopt AI-driven productivity tools, Cofia is positioning itself as a next-generation automation layer that eliminates the need for manual workflow design. By shifting from prompt-based tools to self-generating automation systems, the company aims to reduce operational overhead and increase productivity across knowledge work environments.
With its early-stage backing from Y Combinator, Cofia is now focused on scaling its platform, expanding its automation capabilities, and building out a broader agent ecosystem designed to transform how repetitive digital work is performed in modern organizations.
