AI research agents are autonomous systems that plan searches, read primary sources, verify each claim, and deliver cited reports. Built for analysts, strategy teams, and investment professionals, they compress days of desk research into minutes while linking every assertion to its source — so findings survive scrutiny in boardrooms and diligence rooms.
Desk research that runs while you sleep
Competitive Intelligence
Continuous monitoring of competitor pricing, positioning, hiring, product releases and public filings — delivered as a diff against last week rather than a wall of text you have to re-read.
Due Diligence Packs
Agents that assemble the standard diligence picture on a target — corporate structure, litigation, funding history, key people, public risk signals — with every finding sourced so your analysts verify rather than gather.
Market & Category Sizing
Structured market analysis pulling from analyst reports, filings, job postings and pricing pages, with the methodology stated explicitly so the number can be defended in a board meeting.
Regulatory Monitoring
Agents that watch the registers and rule-making feeds relevant to your business, flag what actually changed, and summarise the operational implication rather than restating the notice.
Voice-of-Customer Synthesis
Reviews, support transcripts, survey free-text and social mentions clustered into themes with representative quotes and volume trends — the qualitative work that never gets done because it is tedious.
Literature & Prior-Art Review
Agents that search technical literature and patent databases, screen for relevance against your criteria, and produce an annotated bibliography instead of a link dump.
Engineering research you can actually trust
Question Decomposition
We turn your standing question into an explicit research plan — sub-questions, acceptable source types, and what "done" looks like. Vague briefs are what produce confident, useless reports.
Source Tiering
Sources are ranked by reliability, and the agent is required to prefer primary documents over commentary. Where only weak sources exist, the report says so rather than laundering a blog post into a fact.
Claim Verification
A separate verification pass re-reads each source and checks that it genuinely supports the claim attributed to it. Claims that fail verification are dropped or downgraded — this is the step that separates research agents from plausible fiction.
Structured Output
Results land in the shape you actually use — a scored table, a CRM record, a Slack digest, a slide-ready summary — not a wall of prose someone has to re-key.
Scheduled Re-runs
Once the agent is trusted it runs on a schedule and reports only what changed, which is what makes continuous monitoring affordable rather than a one-off report you never repeat.
Research Agents
FAQ.
Common questions about autonomous research agents — hallucination controls, internal sources, freshness, licensed content and analyst impact.
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