Cofia

Product & Competitive Intelligence

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.

Competitive Advantage & Moat

Product Roadmap & Public Announcements

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.

Signals & Private Analysis

Fully proprietary closed-source ML stack. OS-level agent development (likely macOS/Linux). 'No screen recording' is deliberate competitive wedge against Adept AI and legacy RPA. Lean founder-only build phase.

Product Roadmap Priorities

Behavioral Pattern Mining
Improving
Cost Reduction
Operations

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.

In Plain English

It's like having an invisible assistant that watches how you work and quietly starts doing the boring stuff for you.

Analogy

It's like a sous chef who watches you cook the same meal five times, then one morning you walk into the kitchen and breakfast is already made—exactly how you like it.

Reinforcement Learning Ranking
Improving
Product Differentiation
Product

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.

In Plain English

The AI learns which automations you'll actually trust and stops bugging you with ones you won't.

Analogy

It's like a new dog that starts by asking permission before fetching your slippers, but after a few weeks just brings them to you every morning because it knows you'll say yes.

Federated Workflow Mining
Improving
Decision Quality
Data

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.

In Plain English

New users get smart automations on day one because the system already learned common workflows from thousands of other people—without ever seeing anyone's private data.

Analogy

It's like moving to a new city and your GPS already knows the best shortcuts because thousands of drivers before you figured them out—without anyone knowing where you specifically went.

Company Overview

Key Team Members

  • Paola Martínez, Co-Founder
  • Moses Wayne, Co-Founder

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. Moses Wayne (CS & Economics at Duke) was Engineering Director at Duolingo leading Monetization to >$1B in revenue annually. Deep expertise in user engagement and monetization at scale enables them to build automation that learns passively without requiring user effort.

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.