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Internal Tool

ResearchLens

Most disagreements are two people answering different questions

ClientInternal — not public facing yet

An internal research pipeline. Give it a contested question and it retrieves a dozen or more papers across economics, sociology and political science, pulls each one apart into what it measured and on whom, then classifies every apparent conflict by type — including the common case where two studies look opposed but are measuring different things entirely.

12-20
Papers per run
12
Conflict types
Internal
Status

The Challenge

The expensive mistake in research is not finding the wrong paper, it is comparing two right ones badly. Two studies get set against each other in public when one measured a rate and the other measured a count, or one looked at individuals and the other at neighbourhoods. Read quickly, they contradict. Read properly, they never met.

Our Solution

Every paper is broken down the same way before anything is compared: what was measured, on whom, under what conditions. Only then are pairs classified, and the level-of-analysis mismatch is checked first because it is the one that fools people most often. The output states each paper's measured quantity in plain terms, so a claim of contradiction has to survive being spelled out.

Results

  • Twelve to twenty papers retrieved and decomposed per question
  • Twelve-type conflict classification across every paper pairing
  • Level-of-analysis mismatch checked before anything else
  • Runs on a flat subscription — no per-query API billing

What it was built with

Python
Retrieval, extraction and classification
Structured extraction
One schema per paper, not free text
Web UI
Browsing past runs
Local RAG corpus
Checking findings against a reference library

Want something like this for your business?

We start small. About two weeks, a firm price, and something real you can click and try before you commit to anything bigger.