About
Cofia builds AI automations for internal operations teams that learn from experienced employees, map real workflows, and run repetitive checks and data entry across existing tools. It targets companies seeking more throughput without adding headcount, differentiating through process-specific, highly reliable automations that work with existing systems.
Market
Cofia competes in the B2B productivity and workflow-automation market, with a specific focus on internal operations. Unlike conventional workflow builders that require users to define automations, Cofia analyzes how teams work through system events and anonymized network traffic, then proactively proposes custom agents for repetitive processes. Its main differentiation is no-prompt, behavior-driven automation, although it faces established platforms such as Zapier, Make, and n8n as well as AI-native competitors such as Bardeen and Lindy.ai.
Cofia targets cross-industry B2B teams with repetitive internal operations, particularly scaling organizations where sales, recruiting, reporting, and administrative workflows consume significant employee time. The likely buyers are operations leaders and functional managers seeking higher throughput and fewer errors without adding headcount; the company does not appear to focus on a single vertical.
At a Glance
Problem
Cofia addresses the hidden labor burden in internal operations: experienced employees spend hours re-entering data, moving between systems, checking work, fixing errors, and coordinating handoffs. The economics are operational rather than merely administrative—manual work consumes scarce skilled capacity, limits the number of projects or deals a team can process, increases error risk, and often forces companies to add headcount. Cofia’s broad use case is repetitive work that is valuable but difficult to automate because it spans email, documents, spreadsheets, and multiple business systems.
The clearest vertical use case is business lending. Loan processors may spend hours re-keying broker submissions from emails and PDFs, spreading bank statements, checking prior positions, chasing missing stipulations, and rebuilding files when numbers do not reconcile. Automating that flow can turn multi-hour deal processing into minutes, allowing a lender to fund more deals with fewer errors and more volume per processor.
Product / Service
Cofia is an AI-native internal-operations automation service that learns from how a team actually works rather than requiring users to design workflows, write prompts, or configure a traditional automation builder. It observes workflow telemetry—such as the applications employees use, how they move between them, and the actions they take—while filtering sensitive information locally. It identifies repeatable patterns, generates a custom automation, and presents it to the employee for review and launch.
The product is designed to work on top of existing systems rather than replace them. In lending, for example, Cofia connects origination and servicing platforms, broker submissions, bank-statement feeds, and spreadsheets, then automates the handoffs. The intended benefit is higher throughput and accuracy without additional headcount, with human approval, audit records, tenant separation, encryption, and controls intended to make the automations suitable for organization-wide deployment.
Market
Cofia competes in enterprise workflow automation, AI-native process discovery, and the broader RPA/business-process-management market. Its differentiation is that it seeks to discover and implement automations from observed work, whereas many established tools require a user to identify the opportunity and then build the workflow. Adjacent competitors and substitutes include low-code automation platforms such as Zapier, Make, n8n, Workato, and Power Automate, as well as RPA and process-automation vendors such as UiPath, Automation Anywhere, and Celonis. The available materials do not identify a single direct competitor or provide a quantified market share comparison.
Cofia is an early-stage company founded in 2026 by Paola Martinez and Moses Wayne. It is backed by Y Combinator and investors including Activant Capital, Magnetic, Index-managed TMV, and Restive Ventures, and its site publishes a customer story involving Ekho. The company is soliciting access rather than reporting public revenue, customer-count, or usage metrics; therefore, its traction is best characterized as early validation and investor backing, while pre-revenue status cannot be confirmed from the available evidence.
Founders & Leadership
Funding History
Y Combinator (lead)
Recent News
Y Combinator’s 2026 productivity-startup directory identifies Cofia as an active W2026 company in New York City. It describes Cofia as learning how teams run internal operations and automatically automating high-ROI workflows.
Tracxn’s July 2026 company profile reports that Cofia has raised $500,000 in total funding, described as its first and only funding round.
Cofia argues that using ChatGPT for isolated tasks such as drafting emails is not meaningful AI adoption. The post says many companies are experimenting with AI without capturing material value because the chatbot interface does not fit most operational work.
Cofia published a customer story about Ekho, describing how it identified repetitive manual operations work and converted it into accurate automations by learning how Ekho’s team actually works.
Cofia examines why engineering teams adopted AI earlier, arguing that engineering output was already measured while operations output generally was not. The post discusses what happens when operational output tracking is introduced.
Active Roles
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Get notified when they postBusiness Model
Cofia appears to sell a paid SaaS subscription: available pricing evidence describes a $50-per-month plan after three active automations, with customers requesting access through the website. No separate services or usage-based revenue stream is publicly disclosed.