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Zalos

Category: AI Agents

Computer Agents for Finance Operations — AI agents that log into existing ERPs and finance systems to automate repetitive workflows like reconciliation, categorization, and billing without requiring API changes. Zalos was founded in 2025. The company is led by William Fairbairn. Based in London, England, United Kingdom (also San Francisco, US). Team size: 2-10. Total funding raised: $3.6M. Latest round: Seed. Key investors include 14 Peaks (14Peaks Capital), Cohen Circle, 20VC, Sterling Road.

Founded
2025
Headquarters
London, England, United Kingdom (also San Francisco, US)
Team size
2-10
Total funding
$3.6M

Value proposition

Automate repetitive finance workflows without changing existing finance systems — AI agents log into ERPs and portals using credentials (like a human), handle 2FA/CAPTCHA, and execute end-to-end workflows from screen recordings, with full audit trails and SOC 2 Type II security.

Products and solutions

Zalos Computer Agents for Finance Operations — AI agents that automate: transaction categorization, bank reconciliation, accounts payable processing, billing initiation, contract term extraction, cash reconciliation, cross-system KPI reporting, form download/completion/upload. Works inside NetSuite, SAP S/4HANA, Sage, Oracle, QuickBooks, Microsoft Excel, and email portals.

Unique value

Purpose-built Computer Agents for finance operations that work inside existing ERPs (NetSuite, SAP, Sage, Oracle) without any API integration — they log in and operate systems the way humans do, trained from screen recordings, with finance-specific accuracy and audit trails.

Target customer

Mid-market and enterprise finance teams (CFO offices) using ERP systems like NetSuite, SAP S/4HANA, Sage, Oracle, and QuickBooks who need to automate manual, repetitive finance workflows without replacing their existing tech stack.

Industries served

Enterprise Finance Operations, FinOps, Office of the CFO

Technology advantage

Computer Use Agents trained from screen recordings; native handling of 2FA/CAPTCHA; finance-specific libraries for data extraction, harmonization, and reconciliation; RL-finetuning for continuous improvement; SOC 2 Type II certified; end-to-end encryption; full audit trail with screen capture logs; works across fragmented finance stacks without API integration.

How they differentiate

Unlike general-purpose computer agents (OpenAI Operator, Anthropic Claude CoWork), Zalos is purpose-built for finance operations with domain-specific accuracy, finance-native audit trails, SOC 2 Type II certification, and the ability to handle ERP-specific navigation, 2FA, CAPTCHAs, and Excel formula manipulation. No API changes or IT involvement required — agents are trained from screen recordings of existing workflows.

Main competitors

OpenClaw (acquired by OpenAI), Anthropic Claude CoWork, general-purpose computer agent platforms

Key partnerships

Y Combinator (F25 batch), SOC 2 Type II certified (audited by Delve), works with NetSuite, SAP S/4HANA, Sage, Oracle, QuickBooks

Notable customers

Enterprise customers deployed within 5 weeks of founding (Nov 2025), Bay Area finance teams using NetSuite, backed by CFOs from FedEx, Tide, and Ada

Major milestones

Oct 2025: Founded & joined Y Combinator F25 batch, Nov 2025: First enterprise customers deployed (5 weeks from founding), Late 2025: Public YC Launch, Mar 2026: $3.6M Seed round led by 14 Peaks, SOC 2 Type II certification secured

Growth metrics

2 employees; ~$506K estimated annual revenue (StartupHub estimate); enterprise customers deployed within 5 weeks of founding

Market positioning

Early-stage (Seed) Y Combinator F25 graduate positioned as the specialized finance operations alternative to general-purpose computer agents from OpenAI and Anthropic. Backed by enterprise finance operators (CFOs from FedEx, Tide) and deep-tech VC 14 Peaks.

Geographic focus

UK (London HQ) and US (San Francisco) — serving enterprise customers globally

About William Fairbairn

Ex-UK General Manager at Agicap (Office of the CFO startup, valued ~$800M); McKinsey Tech Practice; built and sold a bootstrapped B2B SaaS.

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