Human-Led
AI-Enabled

Credible Research with LLM

Bursera is a human-led LLM research, training and advisory firm. We clearly show how we maximize the analyst or researcher’s role in each piece of work.

A bursera — the elephant tree — growing out of the rock on South Mountain, Phoenix. Photograph by Hugh McCutchen.
New research · July 29, 2026 Nature Medicine compared the big chat models to OpenEvidence and UpToDate. The general models scored higher on every benchmark, and the argument about what that means has not resolved. All updates →
What we do

Research · primary

Research

You bring a question your organization needs answered well — a market to understand, a claim to pressure-test, a decision that needs an evidence base under it. We build that base and return work you can act on, with the sources attached and the thin spots marked.

The work, and how it is done →

Capability transfer

Training

For the researchers, analysts, reporters and reviewers who want the capability in-house, we teach the practice behind the work: how to direct an LLM the way you would direct a team — setting direction, reviewing critically, deciding when it is ready.

The practice, taught →

Leadership Consulting

Advisory

Helping leaders see what these tools are for — their own thinking, research and analysis — and bring that way of working into their organization.

The shift, one leader at a time →

Why it is different

Our methodology and platform make the researcher the leader of a capable team — analysts, writers, fact-checkers. The process is open, the platform and tools are open, and the results make clear how the work was done. The proof is in the work itself.

The Bursera mark

Every published piece carries the Bursera mark and a provenance record you can inspect — how the work was done, what it rests on, and who is accountable for it.

Human-led, disclosed

Every engagement is led by a named analyst — one accountable person directing the work, reviewing it critically, and deciding when it is ready. We tell you where the AI did the lifting and where human judgment made the call. The judgment is the point, and it is never anonymous.

How the offerings fit
Start here

The best first step is a short conversation about the question you are trying to answer. Contact us.