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Moby Analytics

YC-backed Excel add-in whose AI agents run audit tests, statement tie-outs and general ledger analysis, with every figure traced to its source.

Audit & fraud detection11–50 practice Editor's score: 4.4 / 5

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About Moby Analytics

Moby Analytics (YC Spring 2025) is the first AI agentic platform built specifically for financial auditors. Rather than offering a fixed set of automation features, Moby lets auditors design and deploy their own AI agents by describing tasks in plain language, no coding required. Agents can auto-collect audit evidence, sort and classify documents, cross-check figures across sources, and track progress across engagement workflows including revenue, payroll, inventory and fixed-asset cycles.

The platform was founded by Dimitri Kassubeck (CEO, formerly a decade in financial services) and Thomas Rapilly (CTO), and is headquartered in Paris. According to its YC launch, auditors currently spend approximately 50% of their time on document chasing, PDF sorting and manual number-checking, all tasks Moby is designed to eliminate so practitioners can focus on analysis and judgment.

The platform targets mid-size audit and accounting firms looking to build bespoke automation without engineering resources.

Key Features

  • No-code AI agent builder: auditors create agents using prompts, not code
  • Agents auto-collect evidence, classify documents and cross-check figures
  • Automates workflows across revenue, payroll, inventory and fixed assets cycles
  • Built specifically for financial auditors by a team with a decade of audit-industry experience
The AI Ledger

Our in-depth review

Moby Analytics is a no-code AI agent platform, backed by Y Combinator, that lets auditors build and deploy their own custom audit workflow agents using plain prompts and their domain expertise, rather than waiting for a vendor to build features.

What it does well, on the evidence so far: the no-code, build-your-own-agent angle is genuinely different. Instead of a fixed feature set, auditors can encode their specific testing and review workflows into agents, which suits firms with their own methodologies. The YC backing signals momentum.

Where to be cautious: it is early-stage, so independent reviews are scarce, and a build-your-own platform puts more onus on the firm to design and validate the agents well. Audit context means careful human review remains essential.

Best for: mid-sized audit teams that want to automate their own bespoke audit workflows without writing code.

Verdict: an interesting, flexible take on AI for audit, strongest for firms that want to shape the automation around their own processes. As an early platform, pilot it on lower-risk workflows first and build up trust as you validate each agent.

At a glance

Category
Audit & fraud detection
Best for
11–50 practice
Editor's score
4.4 / 5

An interesting, flexible take on AI for audit, strongest for firms that want to shape automation around their own processes; start on lower-risk workflows.

Pricing
Essential plan 29 euros per user per month excluding tax, all features and 1,500 to 4,500 pages of monthly AI capacity included; Enterprise custom from 50 licences.
Last verified
2026-08-06

Integrations

  • Standalone platform

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