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Startup Stories - Mixergy

#2288 She had people do AI’s work

Startup Stories - Mixergy

Andrew Warner

Motivation, Business, Startups, Improvement, Entrepreneur, Mix, Society & Culture, Education, Tips, Management & Marketing, Ambition, Synergy, Energy, Growth, 581719, Money

4.5591 Ratings

🗓️ 17 December 2025

⏱️ 41 minutes

🧾️ Download transcript

Summary

Helen Hastings wanted to create better accounting software. To figure out what to build, she had humans do the work. This is the story of how she created Quanta, the accounting software that’s taking on QuickBooks with a more modern human+software approach.

Helen Hastings is the founder and CEO of Quanta, an AI-powered accounting platform built for modern software and services companies. Before Quanta, she was a software engineer at Affirm, where she specialized in building financial ledgers and systems of record. She’s also worked at Google and NerdWallet, bringing deep fintech and infrastructure experience to one of accounting’s hardest problems.

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Transcript

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0:00.0

This founder had human beings do the work of AI.

0:03.0

Humans answered questions, uploaded files, organized financial data.

0:07.0

It helped to raise $20 million for an AI-based accounting software company.

0:12.0

Copy her approach.

0:13.0

Helen Hastings is the founder of Quanta, accounting software that works fast

0:17.0

because it uses a combination of humans and AI-backed software.

0:25.0

Helen, the interesting thing about you is that you basically had humans do AI in the beginning.

0:29.9

How did you do it?

0:31.1

Give me an example of something that a human being did then that today AI is doing because you

0:35.9

noticed it back then.

0:37.1

So we saw people just reading a lot of human written text is the biggest example of where AI has made a difference.

0:44.3

So imagine you have purchased something with a corporate card or maybe you need a reimbursement.

0:50.4

You have to put a memo on that into your company's expense system. So that's just human written

0:55.9

language. And this is something that bookkeepers were reading and then figuring out what it meant.

1:00.9

And LLMs are very good at that. People think that accounting is just numbers. Actually, so much of it is

1:06.7

just understanding what's going on in the business. And so much of that is actually human written.

1:10.9

So the example that you've given me before was you said, look, there would be a human being that would see a bill coming in from Amazon and analyze it and say, this is not an Amazon purchase.

1:19.8

It's an AWS purchase.

1:21.3

It's still the same company.

1:22.6

But clearly those are two different buckets of expenses.

1:25.4

And a human being would analyze it and then do it

1:27.5

in the beginning, right? And then eventually it was actual LLMs that were doing that kind of analysis.

...

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