Role-specific. Annual pricing. Anyone on the team can ping it.
A custom-built AI researcher that lives in your Slack. Tracks competitors, summarizes industry news, runs survey analyses, and writes the briefing memo. Trained on your category, your buyer, and your competitive set.
The category intelligence work that no one on your team has time for, handled.
Watches their pricing pages, blog cadence, hiring, funding, and product changelogs. Pings the channel when something shifts.
Daily or weekly digest of category news, filtered for what matters to your buyer.
Researches accounts before sales calls. Drafts a one-page profile with the people, the tech stack, and the recent news.
Reads survey responses, codes themes, and writes the summary memo.
Public data, company filings, analyst reports — gathers and shows the working.
Pre-board, pre-quarterly, or pre-launch — gathers the questions and drafts the answers.
A Researcher fellow is not a search engine with a prompt. It is custom-built around your category. We start by scoping the role with you — your competitors, your buyer profile, your category vocabulary, your research cadence, and your team's house style for briefings.
By the time Iris joins your Slack, it knows who your top five competitors are and what signals matter for each. It knows the difference between a funding round that threatens you and one that does not. It knows your buyer's vocabulary and writes in your team's voice, not generic analyst-speak.
The generalist AI summarizes what you ask it to find. Iris analyzes what it already tracks — and flags what you did not think to ask about.
The generalist summarizes. The fellow analyzes.
Deep, role-specific integrations. Not 3,000 shallow ones.
Research & Intelligence
News & Feeds
Survey Tools
Communication
Knowledge Base
Spreadsheets
Need a tool not listed? Tell us during scoping. Most research and data tools are scoped into the fellow build.
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Glean and Perplexity are great at finding answers to one-off questions. A Researcher fellow is built for sustained category coverage — tracking the same competitors week after week, building on what it already knows, and writing in your team's house style.
The generalist starts fresh every time. Iris picks up where it left off yesterday.
Each Researcher fellow is on a custom annual plan based on the scope of your category and research cadence. Predictable annual price. No per-query meters. Whole team uses the fellow.
Get pricing for a Researcher fellowA Researcher fellow knows your category over time. It does not start fresh on every question. It tracks the same competitors week after week, knows your buyer's vocabulary, and writes briefings in your team's house style. The generalists are great for one-off questions and weak for sustained category coverage.
We scope sources tightly during setup. Iris cites where it found things. Verify before publishing externally — same rule you'd apply to a junior researcher. The fellow flags when it could not find a source rather than guessing.
Yes for theme coding, summary, and qualitative pull-quotes. For statistical analysis, the fellow can prep the data and we recommend pairing with a stats tool you already trust.
Tell us during scoping. We tune the watch list to your actual competitors and the signals you care about (pricing, hiring, content, funding, product changelogs).
Tell us about your category. We will scope the fellow and have it in your Slack in about a week.