Zalos

$3.6M Seed Funding

5 wks Zero to Enterprise

6+ ERP Platforms Supported

SOC 2 Type 2 Certified

13+ Notable Angel Investors

The $40 Billion Manual Finance Problem

Finance teams run on software that was never meant to talk to each other. SAP on one side. NetSuite on another. A spreadsheet bridging them. And a finance analyst manually reconciling the gap, every month, for years.

The automation pitch has been made many times before - but it always ended the same way: "We'll need your IT team to build a custom API integration." Which means six months. Which means never.

Zalos skips the IT team entirely. Its agents don't call APIs - they use a username and a password, just like the analyst they're replacing. They click through screens. They handle 2FA prompts. They download the file, open Excel, run the categorization, and upload the result. They work the same shift the human used to work, except they don't need four days to do it.

The insight is deceptively simple: finance systems were built for humans to operate. So build agents that operate them the way humans do.

"Finance teams have the systems, but they are still doing the work manually because the stack is not connected."

- William Fairbairn, CEO & Co-founder

How It Works: Record Once, Run Forever

The setup takes minutes, not months. A finance team member records their screen once as they perform the workflow - reconciling a batch of transactions, pulling a cash report, filling out a vendor payment form. Zalos converts that recording into a computer agent.

Connect

Agents log into finance systems securely using existing credentials. They interact with portals as a human would, extract information from documents, and navigate complex authentication flows including two-factor authentication and CAPTCHAs.

Act

Agents reconcile data across invoices and bank statements, download and complete forms, initiate downstream workflows, and execute rule-based tasks from simple written instructions. No API. No code. Just the workflow, automated.

Audit

Every action is recorded. Zalos maintains screen capture logs and video-like timelines of agent activity for compliance and oversight. Human-in-the-loop review is optional. Finance teams see exactly what ran and when.

Works inside:

NetSuite SAP S/4HANA Sage Oracle QuickBooks Microsoft Excel Email Portals

CUSTOMER STORY

4 Days a Month. Gone.

A Finance Manager at a Bay Area company spent four days every month downloading credit card transactions and manually categorizing them in NetSuite. That was the job. Not strategy. Not analysis. Four days of copy-paste, every single month.

They deployed Zalos. Now they schedule weekly automated runs. The agent logs in, pulls the transactions, categorizes them, and uploads the results. No oversight required unless an exception is flagged.

Result: ~4 days recovered per month

Why not OpenAI Operator or Anthropic Claude? General-purpose agents are built for general-purpose tasks. Finance operations require domain-specific precision: correct account codes, exact categorization logic, Excel formula manipulation, ERP-specific navigation patterns. Zalos is built exclusively for finance - not as a feature, but as the product. The audit trail, the accuracy standards, the error handling - all finance-native.

The Founders

William Fairbairn

CEO & Co-founder

William spent years watching CFOs hit the same wall: sophisticated finance stacks, manual data entry. At Agicap - one of Europe's largest office-of-the-CFO platforms, valued near $800M - he doubled the UK team in 18 months as General Manager. Before that: McKinsey's tech practice. Before that: built and sold a bootstrapped B2B SaaS.

He came to Zalos with a specific grievance and the scar tissue to back it up.

McKinsey Agicap B2B SaaS Founder

Hung Hoang

CTO & Co-founder

Hung spent five years at Apple, building Apple Pay products used by millions daily - including Buy Now Pay Later - and leading AI initiatives. He left to focus specifically on computer agents because he'd already seen the API problem that stalls automation: enterprises can't integrate without engineering resources, and engineering resources are always busy.

The screen-recording approach isn't a workaround. For Hung, it's the point.

Apple Pay Apple AI Twin (AI Lab)

$3.6M and the Right Room

In March 2026, Zalos announced a $3.6M seed round led by 14 Peaks, the Swiss deep-tech VC, with participation from Cohen Circle and 20VC. The check size is respectable for a London-based pre-Series A. The angel list is more interesting.

$3.6M

SEED ROUND - MARCH 2026

Led by 14 Peaks (Swiss deep-tech VC), with participation from Cohen Circle and 20VC. The round included 13+ notable angels from across the fintech and enterprise software world.

✓ SOC 2 Type 2 Certified

14 Peaks
Lead investor, Swiss deep-tech VC
Cohen Circle
Co-investor
20VC
Co-investor
Mike Lenz
CFO, FedEx (Angel)
Ian Sutherland
CFO, Tide (Angel)
Paul Forster
Founder, Indeed (Angel)
Nancy Casey
Oracle/SAP executive (Angel)

What's notable about the angel roster: it's populated with people who have either signed off on large ERP purchases or spent careers inside ERP vendors. The FedEx CFO. The Tide CFO. A senior Oracle/SAP executive. These aren't general-interest technology bets - they're people with operational skin in the problem Zalos is solving.

A Short, Fast History

OCTOBER 2025

Founded. William Fairbairn and Hung Hoang begin building Zalos after joining Y Combinator's Fall 2025 batch.

NOVEMBER 2025

First enterprise customers deployed within 5 weeks of founding. Early use cases include contract term extraction, billing initiation, and cash reconciliation.

LATE 2025

YC Launch. Zalos publicly launches through Y Combinator's launch platform as a YC F25 company. The pitch: invisible finance workers inside the software CFOs already use.

MARCH 2026

$3.6M seed round announced. Led by 14 Peaks, with Cohen Circle, 20VC, and 13+ angels from enterprise finance and software. SOC 2 Type 2 certification secured.

Five Things Worth Knowing

01 Hung Hoang spent five years at Apple Pay before leaving to build finance agents - because he recognized that the API bottleneck was a structural problem, not an incidental one. The only way around it: agents that work like humans.

02 The founder of Indeed - a jobs site - is a Zalos angel investor. Indeed helps people find finance jobs. Zalos automates finance work. Noted.

03 Zalos agents handle two-factor authentication and CAPTCHAs without human intervention. The same friction that slows down human users is treated as an implementation detail.

04 The CEO's wife posted about Zalos on LinkedIn with "my husband's AI startup" - an unexpectedly human moment for a company selling invisible digital workers to enterprise finance teams.

05 From zero to enterprise customer in five weeks. That's not a long time. For an early-stage B2B company selling into finance - historically one of the slowest-moving enterprise buyers - it's a credibility signal.