Data and reporting
GPT Researcher
A standalone research agent that searches the web and your own documents, then writes a cited report on any topic. It's for the deep-dive research that would otherwise eat a full day.
Real research, the kind behind a market scan, a competitive look, or a briefing, means reading across a lot of sources and pulling it into something coherent. It's a full day of work done well, and it recurs.
What it is
A standalone research agent that does that legwork. Give it a question and it searches the web and any documents you point it at, then writes a cited report you can check. It runs on its own, as a package, a Docker container, or a small web app.
What it does for you
The multi-hour research task becomes a report you can review. It's a strong fit for the recurring "go find out about X and write it up" work, and every claim comes with a source so you can trust and verify it.
What you'll need (and what it costs)
The software is free and open source, but it needs API keys to run: an LLM key (OpenAI by default) and a web-search key (Tavily, which has a free tier). Expect roughly $0.40 per deep-research task in API usage. Those keys, and the setup, are why this one's a build.
How we'd set it up with you
We deploy it, wire in the keys safely, and point it at the sources that matter for your business, so a non-technical team can run it without touching the plumbing. We tune what "a good report" looks like for you, and set up the recurring runs if you want them.
Ready when you are
Want this built into your business?
You can grab this yourself from the source. If you'd rather have it wired into your tools and your team trained to run it, that's what we do. The Free AI Opportunity Assessment is where we start.