David Gurra

speaker
2,056 appearances 266 recordings 8 series first heard May 2025 last heard 5 Jun

David Gurra’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months
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Recordings per month over the last 12 months — 265 in all, peaking in Feb 2026 with 132.

Appearances

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Basis, a startup making AI tools for accounting, has raised $100 million at an over $1 million valuation.
This, of course, as investors grow pretty wary of disruption from agentic AI.
Here with us is Matt Hart, Basis CEO.
I go to the point.
How is Basis different from Anthropix's co-work plugin for an accounting business?
Yeah, well, first of all, great to be here, and thanks for having me, Caroline.
Look, we have an excellent relationship with OpenAI and with Anthropic, and I think Cowork, ChatGBT, the whole range of tools that they have are absolutely fantastic.
I think, though, you can only sort of serve so many masters,
And when it comes to domain-specific work, specifically in our situation, accounting, there's a need to build with that domain specificity in mind.
I think it comes down to a couple things.
First of all, you want domain-specific capabilities.
So for instance, we announced today the first example of a long-running agent completing an entire business tax return workbook.
That's something that you can't really do in any other AI tool that exists out there.
You need domain-specific accuracy, so we are able to guarantee to the firms that we work with that the AI will meet the requisite level of accuracy for it to be used in a real manner, and we can sort of guarantee that performance.
You need domain-specific user experience so that it's fluid and it works well for people who are experts in their field as they go about doing their work.
You can't just have a chatbot or, you know, the variety of other sort of basic user experiences that you need.
You need to build enterprise sort of great features, you know,
collaboration, audit trails, auditability, et cetera, things of this nature.
And finally, you need domain-specific deployment approaches.
The capacity of a lot of these AI tools to be extremely useful in workflows probably far exceeds the adoption today.
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