AMD leaders on how they position against rivals
we fundamentally believe that there is no one size fits all. Like, the world is a heterogeneous world.
Track what AI leaders say off-script. You get their exact words, the speaker named, the show and the second.
AI lab leaders on memory and compute
until right now, I don’t think making memory has ever been a great business over a long period of time.
Trackers send your team each new quote that fits. The API puts the same quotes in your own products.
Write one sentence about who and what you need to hear. Get each new quote that fits, with the speaker and the second.
Quotes with a named speaker and a second, into the tools and models you already run. By REST API, webhook or MCP.
Both are open by request. Nothing can be bought yet. Prices in US dollars, as of Nov 13, 2026. All plans.
Most tools alert you whenever a name comes up. A tracker sends a quote only when that person is the one talking.
The people and shows we follow are listed by name, so you can check first.
Each quote is checked word for word, with a link that plays it from the second it starts.
A tracker matches by meaning, from one sentence, not by keywords and Boolean rules. By request.
AMD leaders on how they position against rivals
we fundamentally believe that there is no one size fits all. Like, the world is a heterogeneous world.
Big Tech CEOs on what AI spending depends on
And if that is going to be true, then the question is, what is the world GDP growth rate?
Amazon executives on cloud pricing and capacity
We’re not going to squeeze our customers, and we’re going to make sure that they can scale.
Anything Sundar Pichai says about AI and productivity
I think if in some ways I view 2027 as a golden age of that productivity frontier for us
Strategy, investment and comms teams use trackers to hear it first and quote it right.
Know when your executives, your rivals’ leaders and the people shaping AI policy speak. You get their exact words, not every mention of their names.
Our CEO, or any competitor’s CEO, on pricing
What the founders and executives building AI say between rounds and earnings calls. Sent as it’s said, with the speaker and the second.
Founders in our portfolio, and their rivals, on revenue and compute
A tracker for each client and its rivals. Know when their executives speak on a long interview, in their exact words, with the speaker and the second.
Our client’s CEO and its three biggest rivals, on AI
A quote pinned on the wrong person is worse than none. So each one says whether we’re sure who said it.
How we name speakers, in fullWe found it’s better to teach the model some basic principles like what it should prioritize, how it should reason about what the right thing to do is.
When the show publishes who spoke, we take its word.
The host asking the questions, or a guest named in the episode’s title or description. Someone saying “I’m…”, or someone else saying their name. None may disagree.
What a quote says when we heard it in the episode but couldn’t tell for sure who said it. We show a name only beside “Speaker confirmed”.
Trackers send only quotes whose speaker is confirmed, unless you ask for the unconfirmed ones too.
We name people from what is said and written about an episode, never from a stored voice.
Nothing about a voice is kept once an episode is processed.
Each one is listed on the coverage page, so you can check your list first.
Each checked word for word against the transcript, with the speaker, the show, the date and the second.
A show’s own podcast feed comes first. A talk or interview with no feed may come from its public video on YouTube.
A sentence, or a person and a topic. Each quote by email or a daily digest. “Not this” to teach them.
With each speaker named or marked unconfirmed.
The REST API, webhooks, Slack delivery and an MCP endpoint.
A shared workspace with seats for the team.
Nobody can sign up on their own yet. Request a demo to use what’s by request.
PodData is open by request. Each quote we hold is checked word for word against the transcript. Trackers, the API, webhooks, Slack delivery, the MCP endpoint and team workspaces are open to pilot teams, by request. Nobody can sign up on their own yet.
Ask with the form. Tell us who you need to hear and what about. We read every request, reply by email, and can set your team up in the pilot.
Request a demoFree is $0. The Data API is $499 a month or $4,999 a year. Enterprise is by annual contract. Prices are as of Nov 13, 2026. Nothing can be bought yet.
What’s in each planMostly long interviews and podcasts with the people building AI, plus markets, news, sports and science. The coverage page lists every one by name.
See every showFrom a show’s own podcast feed first. Where a talk or interview has no feed, we may use the audio of its public video on YouTube. We hold no quotes yet from Product Growth and Conversations with Tyler, which have no feed we read. Every quote links to the show’s own recording at its second.
Write it in one sentence. We’ll show you what PodData would have caught, and set you up in the pilot.
Request a demo