I · The Engine

Research that argues with itself.

Most AI 'reports' are a single model's first draft. The x1000 engine runs a pipeline — fan out, then tear the findings apart — so what reaches you has already survived its own cross-examination.

Six moves, every time.

The same disciplined path runs for a heat network or a SaaS launch. Repeatable is what makes it trustworthy.

  1. 01

    Scope

    We turn your decision into 4–6 falsifiable sub-questions. Vague questions produce vague answers.

  2. 02

    Fan out

    Dozens of sources per sub-question — not one, not a single search.

  3. 03the moat

    Verify

    Every claim faces independent skeptics. It survives a majority vote or it dies. This is the moat.

  4. 04

    Synthesize

    A cited report: bottom line first, then economics, landscape, regulation, failure modes.

  5. 05

    Human QA

    A senior reviewer checks framing, strategic fit, and your guardrails before anything ships.

  6. 06

    Deliver

    Report plus a live readout. We tell you where to win — and where not to.

Step 03 · the moat

Verification is the whole product.

Every extracted claim faces a panel of independent skeptics. It survives a majority vote, or it never reaches your report. In the assessment to the right, eight of twenty-five tested claims were rejected — quietly removed before you'd ever see them.

That deletion is what you're paying for. It's the difference between a confident paragraph and a fact.

Verification funnel · live engagement

Claims extracted113
Put to adversarial test25
Confirmed (survived the vote)17
Killed before reaching the page8

Eight of twenty-five claims were rejected in verification. A free chatbot would have published all of them.

“The Weight.” — our :60 brand film.

The lonely weight of a high-stakes call — and the relief of certainty when every claim is verified. Powered by the x1000 engine.

See it on a real question.

Read the proof