Cofia

Roadmap & Position in AI Automation

Learns how you work and proactively creates automations without prompts or manual setup.

Company Overview

Builds an AI automation platform that learns from user behavior via system events and anonymized network traffic, then proactively generates and executes personalized workflow automations with no prompts and no manual setup.

What They're Building

The company's public product roadmap & what they're committed to building.

Proactive, zero-prompt automations that learn from system events and anonymized network traffic. Privacy-first: no screen recording. Targeting knowledge workers at high-growth tech companies.

Latest Intelligence

Zeitgeist tracks private signals to determine where the company is heading strategically.

Automation Starts Before The Prompt

May 13, 2026

Confidence:

Medium

New Intel: Cofia is building proactive workflow automation from system events and anonymized network traffic, without screen recording. The privacy wedge matters if desktop agents become too invasive for real workplace use.

Founder and Key Execs

Paola Martínez, Co-Founder

Co-Founder

Moses Wayne, Co-Founder

Co-Founder

Founder Force Multiplier

Paola Martínez (Stanford CS undergrad & MS&E MS concurrent, 2019 Mayfield Fellows Program, Schmidt Futures Impact Fellow) was Senior Product Manager leading retention at Brilliant.org.

Funding History

2025-2026 | Paola Martínez and Moses Wayne co-found Cofia.
2026 | Accepted into Y Combinator W26 batch.

Competitors

AI Automation

Zapier, Make, n8n.

AI-Native Agents

Adept AI, Induced AI, MultiOn.

RPA

UiPath, Automation Anywhere, Microsoft Power Automate.

Proactive AI

Granola, Lindy.ai.

Cofia

's Moat:

Behavioral observation (system events, network traffic) produces automations the user never thought to build, which means competitors requiring manual workflow definition cannot match the discovery layer. Each deployment learns a unique usage pattern, making automations more personalized over time.

How They're Leveraging AI

Behavioral Pattern Mining

Cofia's ML models passively observe system events and network traffic to discover repeatable user workflows and automatically generate executable automations without any user prompts or manual configuration.

Reinforcement Learning Ranking

Cofia uses reinforcement learning from user feedback to rank and prioritize which discovered automations to surface or execute, calibrating trust levels to each user's comfort with autonomous action.

Federated Workflow Mining

Cofia aggregates anonymized workflow patterns across its user base to identify common automation opportunities, enabling new users to benefit from pre-built automations discovered from collective behavior—without exposing any individual's data.

AI Use Overview:

Using behavioral pattern mining from system events, reinforcement learning to rank and surface the most impactful automations, and federated workflow mining for privacy.

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