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Rulebase: AI Coworker for Fintech – Y Combinator Backed

Rulebase: AI Coworker for Fintech – Y Combinator Backed

September 16, 2025 Lisa Park - Tech Editor Tech

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Rulebase Raises‍ $2.1M to Automate Financial Services Back-Office Tasks


Rulebase Secures $2.1M Pre-Seed Funding to⁢ Revolutionize Financial ‌Compliance

Table of Contents

  • Rulebase Secures $2.1M Pre-Seed Funding to⁢ Revolutionize Financial ‌Compliance
    • At a‌ Glance
    • What is Rulebase and What problem Does it Solve?
    • The Founders’ Journey and the Genesis of Rulebase
    • Focus on Quality Assurance and Cost Savings
    • How Rulebase ‍Works: A Deeper ‍Dive

At a‌ Glance

  • What: Rulebase, an AI-powered agent⁢ coworker for‌ financial services back-office tasks.
  • Who: Founded ‌by Gideon Ebose and Chidi Williams.
  • Funding: $2.1 million pre-seed​ round led ‍by Bowery Capital.
  • Why it Matters: ⁣ Addresses‌ the significant inefficiencies and costs associated with manual compliance ⁣and⁣ quality assurance in financial institutions.
  • What’s​ Next: Expanding beyond quality⁣ assurance to other regulatory workflows and integrations.

What is Rulebase and What problem Does it Solve?

Y Combinator-alum rulebase ⁤is betting that the next wave of automation in financial services won’t be about flashy AI ⁣interfaces, but the unglamorous ⁣back-office tasks like compliance.

The startup,⁢ founded by Gideon Ebose ⁤and ‌Chidi Williams, two Nigerian engineers who‍ met in London, just raised a $2.1 million pre-seed round led by Bowery Capital,with participation from Y ⁣Combinator,Commerce ​Ventures,Transpose Platform‌ VC,alongside several angels.

Financial services firms spend enormous amounts of effort on support tickets, resolving disputes, ensuring quality assurance,⁢ and regulatory compliance.Rulebase’s software, which ‍it calls⁢ an ⁢agent coworker, replaces much of the‌ manual ⁤grunt⁤ work in ‌these tasks. Its AI agent can ⁤evaluate customer interactions, flag‍ regulatory risks, and trigger the right follow-ups across⁣ tools ‌like Zendesk, ⁤Jira,⁤ and Slack without losing⁢ the human-in-the-loop oversight ⁣that financial firms demand.

“Our ‌’Coworker’⁢ tool integrates ‌across platforms and collaborates ⁣with human agents and⁣ back-office​ teams ‍to fully manage the dispute ‍lifecycle while saving time, reducing errors, and maintaining compliance,” said⁤ CTO Williams. Currently, the year-old startup is already deployed at ​customers like U.S. ⁢business banking platform Rho and ⁢an unnamed Fortune 50 financial ⁤institution.

The Founders’ Journey and the Genesis of Rulebase

Rulebase wasn’t the founders’ ⁤first swing. ‌Ebose, a former product lead at ‍Microsoft and Williams, ​a ⁢former backend engineer at Goldman Sachs, built several products together like an AI customer feedback tool ‍before eventually settling ‌on ⁤Rulebase. The idea came about after seeing how inefficient back-office operations⁤ were in small and‍ large financial institutions, especially when it came to regulatory workflows.

Focus on Quality Assurance and Cost Savings

The startup currently focuses on ⁣workflows‍ triggered by customer service ⁢interactions, with its‍ first ‌wedge around quality ‌assurance.⁤ QA⁢ analysts in traditional ⁣financial ‌institutions typically manually ⁤review 3-5% of support interactions to ‍ensure reps ⁤follow compliance protocols.

Rulebase now evaluates ⁢100% of such interactions,cutting⁢ costs by⁢ up to ⁣70%,the‍ founders say. In the case ‍of Rho, as ​an example, Rulebase has helped…

How Rulebase ‍Works: A Deeper ‍Dive

Rulebase’s‌ core functionality revolves ⁢around⁤ its AI agent,‍ which⁢ operates as a “coworker” within existing financial service workflows. Here’s a breakdown of the process:

  1. Data Ingestion: Rulebase integrates

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