Applied Symbiotic Intelligence (ASI) provides pre-submission integrity reviews and intelligence engagements that verify every claim and citation at its primary source before high-stakes decisions are made. The company's method reads across all evidence, attempts to disprove findings at their origin, and only trusts what survives, with independent AI models and human experts confirming results.
Funding
Funding not disclosed
Founders
Product
Problem
Scientific manuscripts and high-stakes decisions often rely on citations and claims that have not been verified at their primary source, leading to errors that propagate through the literature and into trials, papers, or business decisions. A single miscited or retracted reference can undermine an entire body of work, yet traditional review processes frequently miss these failures until after costly commitments have been made.
Solution
Applied Symbiotic Intelligence provides pre-submission integrity reviews and intelligence engagements that verify every load-bearing claim and citation directly at its origin, such as PubMed or Crossref. The method reads all evidence together, attempts to prove findings wrong at their source, and only trusts what survives, with independent AI models from rival labs checking each other's work and a domain expert releasing every result by hand. For manuscripts, the service covers seven dimensions including reference verification, claim-to-source fit, message and audience fit, and submission compliance against the journal's live guidelines. The company also runs intelligence engagements that surface connections across evidence silos and show which findings hold before major decisions are made.
Target Audience
Primary customers are researchers preparing high-stakes scientific manuscripts for submission, as well as organizations facing major decisions that depend on cross-domain evidence and need independent verification of what their sources actually support.
Features
- Every citation resolved at its primary source (PubMed, Crossref), including those inside tables and figures, verifying existence, identifier correctness, and author/journal/year accuracy
- Claim-to-source fit analysis confirming whether a source actually says what the manuscript claims, at the same scope and population
- Load-bearing findings re-derived by an independent pass that does not share the first pass's inputs, then released by a person
- Submission compliance checked against the target journal's live guidelines on the day of review, including word limits, reference style, and structural requirements
- Patent-pending methodology that checks sources at their origin, catching retracted papers like the 2024 Nature Alzheimer's retraction before they enter the record
- Confidentiality by written agreement, with no rewriting of prose or argument and no publisher-side screening