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Use Case

Autonomous Research and Market Intelligence Automation

Research and analysis work that previously took analysts days can be completed in hours by AI systems that never stop looking. We build autonomous research agents that gather, synthesize, and deliver intelligence on demand.

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The Challenge

Strategy teams, investment analysts, sales teams, and product managers all need external intelligence — competitive moves, market shifts, regulatory developments, prospect research — but gathering that information manually is time-consuming and inconsistent. An analyst can spend a full day on competitive research that AI can complete in 30 minutes, and the AI will cover more sources with higher consistency.

Our Approach

We build multi-agent research systems that accept research questions in plain language, autonomously search across the web, company databases, news feeds, regulatory filings, and internal knowledge bases, synthesize findings into structured reports with citations, and deliver results in the format each user type needs. Research runs on demand or on a schedule.

How We Do It

1

Research Task Decomposition

When given a research question, the orchestrator agent breaks it into specific sub-tasks, identifies the most relevant data sources for each, and assigns specialist agents to execute each research thread in parallel. The scope and depth of research is calibrated to the question type.

2

Parallel Data Gathering

Specialist agents execute their research tasks simultaneously — one scraping news and press releases, another analyzing public filings, another querying industry databases, another searching your internal documents. Parallel execution means comprehensive research completes in the time a human would spend on a single source.

3

Synthesis and Fact Verification

A synthesis agent combines findings from all specialist agents, resolves contradictions, identifies consensus and outlier findings, and structures the output into a coherent report. Every factual claim includes a citation to the source. Claims that appear in only one source are flagged for confidence.

4

Structured Report Delivery

The finished report is delivered in your preferred format — a structured document, a slide-ready brief, a table, or a set of structured data records that feed into a dashboard. Scheduled research runs deliver automatically to distribution lists with no manual triggering required.

What You Get

✓Competitive research reports completed in 45 minutes versus 1-2 days previously
✓Research coverage expands to 5x more sources than a human researcher would consult in the same time
✓Strategy teams run monthly competitive monitoring that was previously quarterly due to resource constraints
✓Sales teams receive AI-prepared account briefs before every discovery call with no research effort required

Technology Stack

Claude 3.5 SonnetLangChain AgentsTavily Search APISEC EDGAR APIPineconeApache Airflow

Related Services

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Multimodal RAG SystemsView →

Industries We Serve

Financial ServicesRetail & E-commerce

Frequently Asked Questions

How do you ensure the research AI is citing reliable sources, not hallucinating facts?+
Every factual claim in the output is tied to a specific source URL or document that the agent actually retrieved. The system does not generate facts from model memory — it retrieves and synthesizes from actual sources. We build explicit fact-grounding checks into the synthesis step so claims without source support are flagged rather than included.
Can the system access paywalled databases or internal proprietary data?+
Yes. We connect to databases you have licensed — Bloomberg, S&P Capital IQ, Refinitiv, Pitchbook, industry-specific databases — using your credentials via their APIs. Internal data sources such as your CRM, product database, or internal research repository are also indexed and included in relevant research queries.
How do you handle research questions that require judgment, not just data gathering?+
The system is honest about what it can and cannot do. Data gathering, synthesis, and pattern identification are done by AI. Interpretation, strategic recommendation, and judgment calls are surfaced as questions for the human analyst to answer using the AI-prepared material. We design the workflow so AI handles the gathering and humans handle the judgment.
Can research reports be customized for different audiences — executives, analysts, sales?+
Yes. We build different output templates for different consumer roles. An executive brief is a one-page summary with the top 3-5 findings. An analyst report is a detailed document with full source citations and supporting data. A sales account brief focuses on pain points, recent news, and conversation hooks. The same research runs once and formats differently for each audience.

Ready to build this for your team?

We take this from concept to production deployment. Usually in 3–6 weeks.

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