A filing is written by lawyers. A press release is written by communications. An hour of podcast audio is written by nobody, which is why the operator names the lead time, the price rise and the customer they just lost. Tell us what you need pulled out of it and we will build the pipeline that pulls it.
Text is cheap to scrape, so every desk already has it, which is precisely why none of it is edge. Audio is expensive to read at scale: someone has to listen to everything, work out who is speaking, throw away the sponsor reads and score what is left. Almost nobody does that. We built the machine that does.
Generic scrapers hand you a firehose of common words and call it a data product. You spend a week filtering it and find nothing, because nothing was there.
Three of the requests we build most often. If yours is not here, it probably still fits: the constraint is your thesis, not our schema.
A keyword on its own is noise. A keyword spoken by a named technical founder, inside the same breath as a number, is a data point. Define who has to be speaking and how close the terms must sit.
Product weakness surfaces in engineering podcasts long before it reaches a mainstream feed, because the people describing it do not think anyone important is listening.
An intelligence product you have to log into is one you will stop reading. Anomalies and volatility markers land in your Slack, your CRM or your Monday partner brief.
Names, phrases, speakers, proximity, shows, thresholds. Bring a thesis; we will turn it into parameters.
The full back catalogue is queried first, so you see whether the signal was ever there before you pay to watch it.
Every new episode is scored against your parameters within the hour of publication.
API, webhook, Slack or a scheduled brief. Alerts fire on your thresholds, not on our idea of interesting.
Bring the question, not the specification. The most useful first message is usually one sentence about the position you are trying to protect or the edge you are trying to find, and we will tell you honestly whether the corpus can answer it.
If it cannot, we will say so. A data vendor that never says no is a data vendor selling you noise.
Goes straight to the desk that builds these, not to a sales queue. We reply with what is possible and what is not.
By the time a shift is written down, the move is finished and someone else took it. Bring us the question you cannot answer from text.