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With Tabby, a former accountant is using AI to make accountants obsolete

TechCrunch
1 min read Rewritten in plain language

Artificial intelligenceAccountingStartup Battlefield 200Tabby

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  • In May of 2025, Ahad Ali was a successful accountant, overseeing a team of 20 people and handling more than 2,000 returns a year.
  • Using Plaid to import live account data, Tabby uses AI to quickly build a real-time dashboard for a business’s financial health.
  • Fourteen months in, Tabby has 5,500 small businesses using the platform, with about $100,000 in annual recurring revenue.
  • Former TikTok execs built an app that uses AI to teach you how to pose for a photo Ivan Mehta.

4 sentences from our version of the report, chosen to cover it. Nothing here is written; every line is in the article below. How

The team is still just seven people and in the process of raising $1 million in pre-seed funding.

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In May of 2025, Ahad Ali was a successful accountant, overseeing a team of 20 people and handling more than 2,000 returns a year. “We did bookkeeping, accounting, sales tax, taxes, everything,” Ali says.

His work was dictated by the frictions of accounting software, which was designed with actual accountants in mind.

Ali is building just that. His product, Tabby, is designed to be a real-time bookkeeping interface, handling clients’ paperwork as it gives them up-to-the-minute data on their business’s profit and loss. Using Plaid to import live account data, Tabby uses AI to quickly build a real-time dashboard for a business’s financial health.

As Ali sees it, products like Tabby have a chance to automate away the work of bookkeeping once and for all, turning it into a monthly charge on the order of internet access or payroll services.

Fourteen months in, Tabby has 5,500 small businesses using the platform, with about $100,000 in annual recurring revenue. The team is still just seven people and in the process of raising $1 million in pre-seed funding.

Former TikTok execs built an app that uses AI to teach you how to pose for a photo Ivan Mehta.

Shortened to 1 minute of reading, this version reads 11.9 on the Niral Score.

You are reading our version, not theirs. This is TechCrunch's report shortened to its most important sentences, in plainer words, with verdicts and loaded words taken out. Plain description stays, and so do adjectives that carry a fact, such as "former" or "federal". The reporting, the facts and the quotations are theirs — quotations are never edited — and the indicators beside it measure this version. Hover or tap Adjectives to see every one left in the text.

How this outlet filed it, and how we rewrote it

No other newsroom we read has filed on this event, so there is nothing to compare it with yet.

Outlet Niral ScoreAdjectivesSourcingSentimentHappiness
TechCrunchas they published this story 14.2 12 25 0.3 50
Mundane Readneutralized from TechCrunch 12.1 10 25 0.3 50

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