Marxen Cloud · Agents

Research & Competitive Intelligence

Agents that read, synthesise and surface insight from large and fragmented knowledge estates.

Section IV · 11 entries

15

Research Intelligence Assistant

ResearchIn build
The problem
A firm holds thousands of long-form research reports. Nobody reads twenty pages to answer one question, so the back catalogue sits unused while the firm pays to produce more of it.
What it does
A conversational layer over the entire research estate. Users ask and get a grounded answer with citations back to the source report.
What changes
Time to insight collapses from reading a report to asking a question. The archive becomes an asset instead of storage.
16

Competitor Watch Agent

Market intelligenceIn build
The problem
Competitive intelligence means analysts searching multiple sources by hand and compiling updates on a cycle. Hours per analyst, and the monitoring is only as consistent as the analyst's week.
What it does
Automates competitor research across sources and assembles a consistent intelligence report on a fixed cadence.
What changes
Research hours per cycle drop sharply and the reporting becomes uniform, which is what makes it comparable period to period.
17

Decision Intelligence Agent

ConsultingIn build
The problem
Subject-matter experts search large file stores of documents and spreadsheets to answer internal and customer queries. As volume grows, turnaround slows and the team caps how many requests it accepts.
What it does
A sensing layer over fragmented internal knowledge, letting experts and executives research and reach informed decisions in near real time.
What changes
Query resolution moves from days to near-immediate, and the expert team's ceiling on request volume lifts.
18

Deal Origination & One-Pager Agent

Document automationIn build
The problem
A deal-origination team compiles a hundred-plus company profiles a month from eight to ten fragmented sources. Each profile can take a full working day, leaving little bandwidth for the evaluation the team actually exists to do.
What it does
Automates the research, enriches across sources with enforced source prioritisation, and generates a structured one-pager. Fragmented tools consolidate into one system of record.
What changes
Per-profile time falls dramatically, data quality improves because source hierarchy is enforced rather than remembered, and leadership queries resolve in seconds.
19

Media Planning Intelligence Dashboard

Media planningIn build
The problem
Planners interpret audience data across several sources by hand. Cycles are slow, outputs differ between planners, and cultural insight rarely survives the journey into activation-ready strategy.
What it does
A decision-intelligence agent and dashboard that standardises how audience data becomes activation-ready media strategy, with consistent decision logic across the planning team.
What changes
Planning cycles shorten, subjective variation between planners drops, and insight arrives in a form the activation team can act on.
20

Case-Study Discovery Agent

Research intelligenceIn build
The problem
Research, advisory and strategy teams need to explore a large estate of case studies conversationally, with directional answers and structured narratives, rather than searching datasets by hand.
What it does
Delivers grounded answers, structured strategic narratives and case-level exploration across the case-study estate.
What changes
Exploration becomes a conversation. Findings that previously required knowing what to search for now surface by asking.
21

Analyst Database Agent

ResearchIn build
The problem
Building and maintaining an analyst contact database means manual research across websites and professional networks, and the database is stale within a quarter.
What it does
Researches and assembles analyst contact records automatically, keeping the outreach database complete and current, and generating event lists on demand.
What changes
Manual search time falls and the database stops decaying between refreshes.
22

Research Synthesis Agent

ResearchIn build
The problem
Analysts extract insight from source documents and turn it into presentation-ready summaries by hand. Significant time per deliverable, capping how many requests fit inside standard turnaround.
What it does
Extracts insight from source material and assembles presentation-ready summaries, so the analyst starts from a draft rather than a blank document.
What changes
Throughput rises within the same turnaround window, and analyst effort redirects toward analysis rather than formatting.
23

Synthetic Focus Group Agent

ResearchIn build
The problem
Persona development and concept testing depend on recruitment, moderation and scheduling. Weeks pass before a team learns something it needed before the creative was made.
What it does
Generates research-grounded synthetic consumers from segmented research and first-party data, then runs simulated focus group discussions for directional response on creative and messaging.
What changes
Persona creation and early-stage testing move from weeks to hours, with traditional research reserved for the decisions that genuinely need it.
Honest framing
The output is directional. It replaces the third round of concept testing, and it will not stand in for a study you would defend to a board.
24

Competitive Intelligence Reporting Agent

Competitive intelligenceIn build
The problem
Competitor reporting is manual, inconsistent and dependent on fragmented sources, so the insight is out of date by the time it is circulated.
What it does
Automates competitor intelligence end to end, gathering across review platforms, professional networks and company pages, and producing a consistent report on a set cadence.
What changes
Manual effort drops substantially and reporting arrives on time and in the same shape every period.
25

Media Planning Research Agent

Media planningIn build
The problem
Planners and strategists analyse fragmented data from multiple third-party research sources, spending significant time synthesising it into something a plan can be built on.
What it does
Generates contextual research insight across multiple sources on demand, producing planning-ready summaries from a prompt.
What changes
Analysis time falls and insight generation becomes consistent rather than dependent on which sources the planner happened to check.

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