AI Agents for Research

AI Agents for Research

Research takes time because reading takes time. Literature reviews, competitive analysis, market sizing. Your team reads hundreds of sources to produce a single brief. AI agents do the reading and synthesis so your researchers focus on generating original insights.

The Problem

A thorough literature review takes 2-4 weeks. Competitive intelligence is stale the day it is compiled. Market analysis requires pulling data from a dozen sources and reconciling conflicting numbers. Your smartest people spend most of their time gathering information and very little time thinking about what it means.

How AI Agents Solve It

An AI agent reads and synthesizes large volumes of text. Point it at a research question and it scans academic papers, industry reports, news, patents, and public filings. It produces structured summaries with citations, identifies patterns across sources, and flags contradictions. Your researchers start with a solid foundation instead of a blank page.

How It Works

1

Define and Scope

You specify the research question, relevant sources, and output format. The agent builds a search strategy covering academic databases, news feeds, patent databases, and your internal knowledge base.

2

Gather and Synthesize

The agent reads and ranks hundreds of sources by relevance. It extracts key findings, identifies themes, and flags contradictions. Every claim links back to its source.

3

Report and Monitor

The agent produces a structured research brief with executive summary, detailed findings, and source citations. For ongoing topics, it monitors new publications and sends updates when something relevant appears.

What You Get

Literature reviews in hours

What takes a researcher 2-4 weeks to compile, the agent produces a first draft of in hours. The researcher then validates and adds interpretation.

Always-current competitive intel

The agent monitors competitor activity daily. Product launches, leadership changes, funding rounds, patent filings. Your team gets updates as they happen.

Cross-source synthesis

The agent connects findings across academic papers, industry reports, and news. It spots patterns that are hard to see when reading sources one at a time.

Full source traceability

Every claim in every brief links back to the original source. Your researchers can verify any finding with one click.

10x
faster research brief production
500+
sources analyzed per query
3 wks
to production deployment

Related Solutions

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Related Use Cases

Research AutomationView →
Knowledge Base SearchView →

Frequently Asked Questions

What sources can the agent access?+
PubMed, arXiv, Google Scholar, SEC filings, patent databases, news feeds, and any internal document repositories you provide. We add custom sources based on your research domain.
How does it handle conflicting information?+
The agent flags contradictions explicitly. It shows both claims side by side with their sources and lets your researcher decide which is more credible based on methodology and recency.
Can it do quantitative market sizing?+
Yes. The agent pulls data from public sources, applies your assumptions, and produces market size estimates with the methodology documented. It shows the range of estimates across sources so you can assess confidence.
Does it work with proprietary research databases?+
Yes, if the database has an API or allows authenticated access. We integrate with most commercial research platforms including Bloomberg, Pitchbook, and CB Insights.

Ready to put AI agents to work?

We build production-grade AI agents for your specific workflows. Most projects go live in 4-6 weeks.