The market scans, competitor teardowns and data pulls your decks are built on, handed back as structured rows with the source of every number attached.
Slide 14 is the market map, and right now it is 43 open tabs and a spreadsheet with three rows filled in. Point a companion at it and the 43 tabs come back as a table with a source on every row, in time to spend Wednesday on what the map means.
You bill for synthesis and spend the hours on collection. Your companion takes the collection, working many pages at once inside the session you are already signed into, and hands the material back in the shape the deck needs.
01
From 43 tabs to one defensible table
Point a companion at the question, whether that is competitors in a segment, pricing across a market, or every operator in a region above a revenue threshold. It returns structured rows with the source of every number attached.
This is the daily motion behind our research and data extraction workflows. EQT’s investment team runs the same pattern for deal work and reports 70% of the research time saved, in the EQT case study.
02
Which recurring scans does every engagement need?
The weekly competitor scan for the client, the news watch on the industry, prep before every steering-committee call and expert interview. Routines run these on schedule, in the same format each time, so the Monday email to the client stops being a Sunday task.
You describe the scan once and it fires whether or not anyone remembered it. If you are still sizing up the category, the best AI tools for market research covers it.
03
How is client confidentiality handled?
Strawberry is built local-first: chats, passwords and browsing data stay on your device, and anything consequential a companion might do waits for your explicit approval. The specifics are in the security white paper, which is the document your risk team will want.
Separate browser profiles keep engagements apart: different logins, different permissions, different memory, so the companion working client A’s market never sees client B’s.
Yes, for the part that eats the hours. A companion pulls market figures, player lists and pricing from across the web into structured tables with a source on every value. Triangulating to the number you defend in the room is then a half-hour with everything in front of you.
Yes. Companions extract structured data from many pages, including paginated and detail-page-heavy sites, into clean rows. See data extraction.
Strawberry is built local-first: chats, passwords and browsing data stay on your device, engagements sit in separate profiles, and a companion pauses for approval before anything consequential. Details in the security white paper.
Yes. Routines re-run a scan on schedule and deliver it in a consistent format, so the standing competitor watch stops consuming associate hours.
Companions return results with their sources, page by page, so every figure in the table traces back to where it was found, which is what makes the output usable in a client deliverable.