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Financial technology and AI

Intuit

Intuit builds financial software for consumers, businesses and accountants. Its product family includes TurboTax, Credit Karma, QuickBooks, Mailchimp and Intuit Enterprise Suite, spanning tax, accounting and broader financial workflows. QuickBooks combines online accounting with services including payroll, while Credit Karma connects its business to personal loans, auto insurance and credit cards. Intuit develops AI capabilities across these products through GenOS, its proprietary generative AI infrastructure with privacy, security and data governance built into the development foundation.

Founded by Scott Cook and Tom Proulx, Intuit began operations in 1983 and went public in 1993. Sasan Goodarzi is its chairman and chief executive officer. Its engineering contributions include Numaflow, created by Intuit’s Argo team for continuous event processing. The Kubernetes-native platform separates event sources and sinks from processing logic so components can scale independently; developers can write individual pipeline steps in different languages for applications such as streaming analytics and real-time inference.

In 2026, Intuit reported approximately 100 million customers worldwide and $21.4 billion in fiscal 2026 revenue. Its commercial reach spans both consumer finances and business operations, while human expertise remains part of its AI product approach.

www.intuit.com ↗

2 talks

Newest first

2 speakers at AIE

Affiliations reflect their AIE appearances, not necessarily current employment.

Jaspreet SinghSoftware engineerUdi MenkesPrincipal Product Manager

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  1. How Intuit uses LLMs to explain taxes to millions of taxpayers

    Start with Singh's talk to learn how GenOS, RAG, GraphRAG, and Claude 3 Haiku fine-tuning fit into personalized tax assistance.

    Jaspreet SinghAI Engineer World's Fair 2025

  2. Why Off-the-Shelf AI Doesn't Understand Money

    Choose Menkes's talk for his argument that fluent financial advice lacks reliability without evidence about comparable businesses taking specific actions.

    Udi MenkesAI Engineer World's Fair 2026

Messages from the stage

Domain expertise in tax AI evaluation

Singh discusses tax analysts working as prompt engineers and evaluation combining domain experts with LLM-as-a-judge, alongside regulatory and security requirements.

Learning from financial outcomes

Menkes describes causal treatment-effect measurement and reinforcement-learning models trained on state, action, and outcome relationships as foundations for financial advisory systems.

Affiliations reflect each recorded session, not necessarily current employment.

Company sources · checked 2026-08-28