Editorial standards & research desk

InfiniSynapse research pages compare tools that we compete with. This page exists so you can judge that conflict of interest for yourself: who writes and reviews the work, what rules the work has to pass, and how to force a correction.

Last updated: 2026-07-26 · Contact: zhuhl@infinisynapse.com

The InfiniSynapse Data Team

Research is published under a team byline rather than a personal brand, because a single comparison usually passes through an analytics engineer, a platform engineer, a security reviewer, and an editor. The team byline is accountable at zhuhl@infinisynapse.com, and the specific reviewer roles behind each page are listed below. If a page makes a claim you want attributed to a named individual reviewer, ask and we will name them.

Who reviews a research page

Analytics engineering reviewer

Reviews: SQL correctness, metric definitions, dialect behaviour

Ships production warehouse SQL on Postgres, Snowflake, and BigQuery; owns the hand-written baseline queries used as ground truth in our scorecards.

Data platform reviewer

Reviews: Connectors, execution semantics, query cost and performance

Builds and operates the query execution and connector layer; reviews EXPLAIN plans and fan-out risks before a scoring protocol ships.

LLM security reviewer

Reviews: Prompt injection, data exfiltration, perimeter and access claims

Maps our security checklists against the OWASP Top 10 for LLM Applications and the NIST AI Risk Management Framework.

Editor

Reviews: Claims discipline, disclosure placement, corrections

Holds every comparative claim to a stated test or a linked primary source, and removes claims that cannot be reproduced by a reader.

Six rules every page has to pass

  1. We publish the method, not just the verdict. Any page that scores tools must publish the fixture or dataset, the pass criteria, and a blank scoring sheet, so a reader can reach a different conclusion using our own protocol.
  2. We disclose that we compete with what we review. InfiniSynapse sells an AI data analyst. Every page that includes InfiniSynapse in a shortlist says so above the fold, and names the scenarios where a competitor is the better answer.
  3. Primary sources over vendor marketing. Capability claims cite vendor documentation or peer-reviewed benchmarks. We do not cite our own blog as evidence for a factual claim about another product.
  4. No paid placement, no vendor pre-review. No vendor pays for inclusion, position, or wording, and no vendor sees a comparison draft before publication.
  5. Dated updates, visible corrections. Every research page carries a publish date, a last-updated date, and a next-review date. Substantive corrections are dated in place rather than silently edited.
  6. Synthetic fixtures, never customer data. Benchmarks and worked examples run on published synthetic fixtures. Customer schemas and customer data never appear in a public evaluation.

Conflict of interest

InfiniSynapse is a commercial vendor of an AI data analyst. When our own product appears in a comparison we score it with the same protocol as every other tool, and we treat our own result as a hypothesis for the reader to test rather than as evidence. A vendor scoring itself is weak evidence by construction — that is why we publish the fixture, the baseline queries, and a downloadable blank scorecard instead of a summary verdict.

Corrections & independent re-runs

We want third parties to re-run our evaluations, including in order to contradict us. Send a filled scorecard, a reproduction of a benchmark, or a factual correction to zhuhl@infinisynapse.com. What happens next:

  • Factual errors are fixed and dated in place within five working days.
  • A disputed score stays published alongside the challenge until one of the two is withdrawn — we do not delete the losing number.
  • Accepted third-party re-runs are logged below with the submitter's attribution, the page affected, and the date.

Third-party re-run log

No external re-runs on file yet. Until at least one is logged, treat scores on our comparison pages as clearly-labelled internal desk logs on a published fixture — not as independently verified benchmarks. This log is deliberately empty rather than absent.

Reuse and citation

Evaluation templates, fixture seed rules, and scorecard CSVs published on our research pages are released under CC BY 4.0 — reuse them, including to publish results that disagree with ours. Prose and figures may be quoted with attribution and a link to the source page.

Editorial Standards & Research Desk | InfiniSynapse