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Give your analysts back the hours gathering steals.
A team of AI agents we build and run owns the pipeline from question to answer, from defining the metric to pulling every source to tracking the competition to drafting the insight to shipping the report, each one handing off to the next. Your analysts spend the week interpreting the numbers, not hunting for them.
The kind of team we build for research.
This is a representative roster. We build yours from your SOPs, so the agents, their steps, and the tools they touch match how your team actually works. Each owns a full workflow, they hand off to each other, and your people own the judgment calls.
Owns the definitions: holds one meaning per metric across every dashboard, catches the report that drifted, and publishes the definition everywhere it's used.
Every source gets pulled against the same definitions, so the numbers can actually be compared.
Owns the data layer: pulls every connected source into one file, normalizes it against the shared definitions, and flags the source that went dark.
One clean file is what makes market signal readable instead of anecdotal.
Owns market intelligence: tracks size, pricing, and category signals from live sources, and logs what moved and when, not a stale slide from last quarter.
Market movement only means something next to what your competitors did about it.
Owns competitive intelligence: watches rival pricing, positioning, and product pages, and flags what changed before Sales hears it from a prospect.
Raw signal is not an insight until somebody says what to do about it.
Owns the takeaway: turns the numbers into a written call a stakeholder can act on, saying what to do rather than just what happened.
The approved takeaway is the narrative the recurring report gets built around.
Owns the recurring report: assembles it from live data, ships it on schedule, and tracks which insights the business actually acted on.
What the business actually acted on tells you which metrics genuinely matter. The loop closes.
The tool sprawl research teams live in.
A tool for every problem, a person to glue them together.
Ahrefs or Semrush for market and search data, GA4 for the web numbers, Looker Studio or Databox for dashboards, and a Google Sheet or Notion doc holding the definitions nobody fully agrees on.
“Almost every damn time I build a dashboard there's always someone complaining that the numbers in my dashboard doesn't match with their previous Excel report.”
7 tools, no shared record, the owner is the integration layer.
One shared record, inside the tools you already use.
The agent team absorbs the assembly work. Your people own the judgment calls. A named operator owns the operating metric we baselined together.
- Pull data from every connected source into one file, with no manual export
- Define each metric once and keep it consistent across every dashboard
- Watch competitor pricing and positioning and flag what changed
- Draft the written takeaway from the numbers, not just a chart
- Assemble the recurring report from live data, on schedule
Where research actually lose margin.
Analysts were hired to find the insight, then handed a second job: plugging data from one app into another all day. Because the stack does not share a file, gathering and cleaning eats the week before analysis even starts, and competitive or market research turns into someone quietly checking pricing pages between real tasks. Worse, nobody agreed on what a metric means before the dashboard got built, so two analysts write two different formulas for the same number and a meeting stalls while people argue about whose version is right instead of what the data says.
An always-on agent owns this. A human approves at the judgment point. The output lands in the same shared record everyone reads from.
What we hear, verbatim.
“Some analysts are plugging in data all day in from one app to another.”
A named operator, then a team of agents that runs it.
Your agent team goes inside the tools you already use. No migration, no new platform.
Month to month after a 90-day proof. Metric guarantee included.
Different function, same villain.
A team of AI agents we build and run owns the full cycle, from the prospect list to the outbound to the booked call to the clean forecast, each one handing off to the next. Your reps sell and RevOps stops reconciling.
A team of AI agents we build and run owns the full workflow, from the report to the brief to the ranked page to the lifecycle send, each one handing off to the next. Your marketers spend the week on strategy and creative, not exports.
A team of AI agents we build and run owns the full workflow, from kicking off the process to routing the approval to keeping the record clean to reporting on the week, each one handing off to the next. Operations designs the process instead of chasing it.
Run leaner and higher-margin, without hiring to do it.
Start with the discovery call. We will show you where your margin is leaking, then exactly how to fix it.
We onboard a limited number of teams each month, set by the number of named operators available to run them.