Methodology
Delvant ships custom clinical intelligence under a fixed methodology. Every claim is tier-classified for provenance. Every PDF passes three pre-delivery gates before it leaves the workshop. Anchor sources are locked. The disclosed process is the product.
Every claim in every deliverable carries a label. Readers always know the analytical posture. No silent inference, no unattributed forecasts.
Claim is supported by a named, page-locked citation in an anchor source. Re-verified at the cited URL before delivery (Gate A).
e.g. “Phase III pivotal enrolled 217 patients (NCT04562519, ClinicalTrials.gov as of 2026-04-30).”Claim derives from cross-referencing two or more sources, or applying a known framework to fresh data. Basis stated explicitly.
e.g. “Based on platelet response curves in TPO-RA pivotals vs the rozanolixizumab Phase III readout, FcRn ranks favourably on speed-of-onset.”Author judgement, declared as such. Not data, not forecast. Useful for framing and recommendation, never as evidence on its own.
e.g. “Reading the EMA assessor concerns alongside the label wording, the post-launch real-world cohort will likely shape Year-2 reimbursement.”Forward-looking, partial-data, or single-source claim where confidence is explicitly low. Flagged to prevent overreliance.
e.g. “A single congress abstract (EHA 2026 P1457) suggests a possible signal in pediatric ITP, not yet replicated.”No PDF ships without all three gates green. Each gate is run by a separate process, not a single review pass.
Every Sourced claim is re-verified at the cited URL or page reference. Broken links, retracted papers, and outdated data trigger removal or re-tagging. A claim survives Gate A only if the source is reachable, current, and supports the wording as written.
Every analytical claim (Inferred + Opinion) is reviewed by a council of independent LLM instances briefed to attack the reasoning. The reviewer cohort tries to falsify, find counter-evidence, or surface alternative readings. Claims survive only if they hold against adversarial pressure or get rewritten with stronger basis.
Every T1, T2, T3, and T4 deliverable is scanned with Originality.ai Pro before PDF render. Target: under 2 percent match excluding direct citations. The scan PDF is logged in the engagement folder; the scan result line is printed on the deliverable's methodology slide.
Each Delvant deliverable is classified against seven AI-research failure modes before ship. Any mode flagged Suspected or Insufficient Evidence blocks delivery until resolved. Taxonomy adapted from Lu et al. (Nature 2026, 651:914-919) and the open-source Academic Research Skills checklist.
A figure mis-parsed from a source PDF or table reads plausibly. Decimal shifts, wrong denominator, units mismatch, ITT vs per-protocol confusion.
Non-existent NCT ID, wrong congress abstract number, miscited regulatory decision, finding attributed to a paper that does not contain it.
A finding framed as surprising or counter-intuitive that the surrounding class literature would have predicted. Narrative amplifies a non-anomaly.
A competitive claim that survives only because of one dimension choice. Different endpoint, time-window, or population cut reverses it.
A parsing artefact (Mode 1) becomes the centrepiece of a narrative section. The deliverable reads more interesting than a correct version would have.
Methodology paragraph claims searches, registry pulls, or KOL probes that were not actually performed. Reads competent, is fictional.
Intake scope commits to a framing that excludes an emerging mechanism or comparator now relevant. The right question goes unanswered.
Delvant claims attach to a closed list of authoritative sources. Anything outside this set is flagged secondary, and analytical weight is reduced accordingly.
Clinical intelligence ages fast. Delvant deliverables carry the snapshot date front-of-PDF. Snapshots older than 90 days carry a staleness banner. Re-snapshot is a separate engagement, scoped and priced.
Hard rules. None of these are negotiable in commissioned scope.
Delvant uses LLM-driven retrieval and synthesis under documented human oversight, and is classed as an AI deployer under the EU AI Act.
30 minute scoping call. We tell you which tier fits, or that none of them do.
Book a scoping call View public sample