Applied Symbiotic IntelligenceApplied Symbiotic Intelligence

Trust, proven at the source

We don’t trust an answer until we’ve tried to prove it wrong.

A second set of eyes that reads across the published research, then tries to prove the finding wrong at its source, with the discipline and rigor you don’t have time for.

See the proofWork with us

Independent blind evaluation

4/4

Four independent AI evaluators, each from a different company, judged blind with authorship stripped, ranked our analysis first.

Blind. We were not a judge, and could not score ourselves.

See how the test ran →

One engagement. A senior human read is the harder check still ahead.

How the reading earns your trust

1

Read across the published research,

including the fields that rarely talk to each other.

2

Try to prove the finding wrong

at its primary source, before anyone commits a lab or a team.

3

Trust only what survives.

Where two credible results conflict, work out why both can be true.

A model checking its own work only agrees with itself. So every finding is checked by independent models, resolved at its source, and a domain expert decides.

Data is a moat for whoever owns it. Trust is a moat for whoever can prove it.

Don’t take our word for it

How the blind test ran.

The same scientific question went to several analytical systems, ours among them. Each answer was stripped of any mark of who produced it and given a neutral label. Then four independent evaluators, each from a different company, judged them blind and ranked ours first. We were one of the answers being judged, never one of the judges.

One engagement. Every evaluator was itself an AI; a senior human read is the harder, cleaner check still ahead. We do not claim we always win.

Lesné S, et al. Nature. 2006;440:352.

This study was retracted by Nature in 2024.

See the record at PubMed →

A published, widely cited finding that did not hold. This is why we check every source at its origin.

We hold ourselves to the same test. In our own analyses we run the check that could kill our most promising lead, and we report the honest result.

A finding is never checked by the model that produced it. The method is patent-pending.

One discipline, aimed where the stakes are highest

Source Review · before you submit

Catch the one reference that doesn’t hold, before it is part of the record.

A pre-submission integrity review for high-stakes manuscripts. Every citation checked at its source; a person releases it.

See Source Review →

Intelligence engagements · before you commit

Find the connection your specialists can’t see from inside one silo.

Surface what connects across the literature, and prove which findings survive, before a major decision.

Work with us →

We are early, and we say so. What we deliver is hypothesis-generating and reviewed, not a guarantee; where we cannot confirm something, we say so plainly.

On the record

We write in the open, every source cited.

June 7, 2026Six Times the Rate: How AI Is Corrupting the Scientific RecordThe Lancet named the velocity. The publication record has the tooling. It does not have the discipline.Read the essay →May 13, 2026Superintelligence Won’t Cure Cancer. Discipline Might.The Center for Humane Technology named four structural reasons. The 2026 record sharpens one of them.Read the essay →

Read all essays on Substack →

Work with us

If you see what we see, we’d like to hear from you.

A person reads every message. No list, no automation.

A scientific record more people can trust.

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