- Specialization
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- Business
- Software Applications
- Market
- Cross Industry
- Ecosystem
- Agents
- Customers
- Enterprises
More details
- Organization type
- Commercial Company
- Ecosystem
- Agents
- Business
- Software Applications
- Specialization
- Not classified
- Market
- Cross Industry
- Customers
- Enterprises
- Delivery models
- Hosted Software
- Revenue models
- Subscription
- Listing status
- Not classified
- Latest equity round
- Seed
- Reported funding amount
- Not classified
About
Zalos builds computer-use AI agents that automate repetitive finance workflows across existing ERPs, accounting systems, spreadsheets, email, and banking platforms. It sells primarily to midmarket and enterprise finance teams, differentiating through agents that operate fragmented systems like humans—including 2FA and CAPTCHA handling—without requiring customers to replace their existing software stack.
Market
Zalos competes in the AI finance-operations and FinOps automation market, as well as the emerging computer-use-agent category, positioning itself as an automation layer for CFO teams working across fragmented finance systems. It differentiates from generalist computer agents and enterprise-focused tools by learning workflows from screen recordings and operating inside existing ERPs, Excel, email, and internal tools without heavy integrations. Finance-specific process mapping, authenticated-system handling, auditable action trails, and enterprise security make it a controlled, finance-specialized alternative to generic desktop agents.
Zalos targets CFOs and finance leaders at mid-market and enterprise companies, especially teams managing complex, multi-system finance operations across ERPs, spreadsheets, and fragmented tools. Its stated customer environment includes major ERP systems such as NetSuite, Sage, and SAP S/4HANA.
At a Glance
Problem
Zalos targets the labor, error, and control burden created by fragmented finance technology. Large companies often run finance operations across ERPs, spreadsheets, email, portals, and internal tools that do not connect cleanly; workers must repeatedly log in, navigate screens, reconcile data, and complete forms by hand. Zalos cites a particularly acute version of this pain in which Fortune 500 employees toggle between applications 1,200 times a day and lose four hours a week simply navigating software. The killer use case is repetitive Office-of-the-CFO work—such as reconciliations, categorization, form-filling, vendor onboarding, and payment-related workflows—that consumes millions of human hours and forces companies to add operational capacity without necessarily improving accuracy or control.
The economics are driven by wasted finance-team time, manual errors, slow close and payment processes, and the high switching cost of replacing core systems. Zalos therefore focuses on automating the work around existing systems rather than asking enterprises to undertake a costly ERP replacement or rebuild their finance stack.
Product / Service
Zalos is an automation and action layer for finance operations: a factory for computer agents that operate existing software in the same way a human finance employee would. A workflow can be learned from screen recordings of a process performed in an ERP or Excel, then converted into an agent that logs in, navigates interfaces, enters data, checks outputs, and works across ERPs, spreadsheets, email, and internal tools. The approach is designed to avoid heavy API integration and rip-and-replace projects, allowing agents to work with systems such as NetSuite, Sage, SAP, Oracle, Salesforce, Coupa, and internal applications.
The broader product includes a Finance Process Graph that maps how finance work is actually performed, identifies inconsistencies and improvement opportunities, and supports process documentation. Control agents and self-learning workflows are intended to become more robust as people review exceptions, while screen recordings, reasoning records, action logs, approvals, and source-to-output lineage provide auditability and support SOX-oriented controls. The benefit is scalable finance execution with less manual navigation, faster process improvement, and governance suitable for sensitive financial workflows.
Market
Zalos competes in the emerging market for computer-use and agentic automation for finance operations, positioned specifically as the automation layer for the Office of the CFO. Its initial customers are mid-market and enterprise finance teams managing complex, multi-system operations. The competitive set is still fluid: it includes general-purpose computer-agent products such as OpenClaw and Anthropic’s Claude CoWork, while market databases also place Zalos alongside broader enterprise automation and document-processing vendors such as Appian, Newgen, Instabase, Conga, and HyperScience.
Zalos is an early but commercial-stage company rather than a pre-revenue project. It joined Y Combinator’s Fall 2025 batch, says it has paying enterprise customers, and has reported customers across major mid-market ERPs including NetSuite, Sage, and SAP S/4HANA. Public coverage reported a $3.6 million seed round led by 14Peaks in March 2026; a third-party database reports $4.1 million in total funding, suggesting either additional capital or a difference in how rounds are recorded. Customer counts, revenue, and ARR are not disclosed in the available research, so traction is best characterized as early enterprise adoption with initial funding and paying customers rather than demonstrated scale.
Founders & Leadership
Funding History
Y Combinator
14Peaks Capital
Recent News
Zalos was publicly featured in a Y Combinator Launch announcement for computer agents that automate finance operations. Its agents work within existing ERP, accounting, and other finance systems to handle tasks such as reconciliation, categorization, form filling, uploads, and submissions.
Zalos raised $3.6 million in seed funding led by 14 Peaks, with participation from Cohen Circle, 20VC, and angel investors. The funds will advance its computer-agent technology across finance systems and enterprise environments.
Y Combinator profiled Zalos’s finance computer agents, which log into existing ERP and accounting systems, automate processes such as pricing, billing, reconciliation, and categorization, and submit work inside those systems. The profile also describes a customer use case involving automated transaction categorization in NetSuite.
Active Roles
2Business Model
Zalos uses an enterprise subscription model for its computer-agent automation services. Pricing varies according to automation level, transaction volume, system complexity, and customization requirements.