Knowledgeable
Use case · NICE submission

NICE submission

A company evidence submission your ERG won't tear apart.

Knowledgeable builds your NICE company evidence submission against the reference case: indirect treatment comparisons pre-checked, model inputs reproducible, and every assumption traceable to the trial, the label or the published evidence base.

−60%
shorter ERG response cycle
100%
claims source-linked
Built-in
reference-case alignment
Knowledgeable Live

Watch it run on your work.

HEOR lead · UK launch team
A scripted demo · click Continue below (or press Space) to send the brief and walk through the work step by step.
Grounded in 12 sources · audit-logged
HEOR lead · UK launch teamdraft
Click send to brief Knowledgeable…
Ready
Background & context

Where this fits in your workflow.

Knowledgeable builds your NICE company evidence submission against the reference case: indirect treatment comparisons pre-checked, model inputs reproducible, and every assumption traceable to the trial, the label or the published evidence base.

Most teams running NICE today juggle a stack of search tools, PDF readers and consultancy slides, then spend the back half of the project reconciling claims to sources. Knowledgeable collapses that into one defensible workflow: a company evidence submission your erg won't tear apart.

The work runs against your literature, trial registries, HTA precedent, label and SmPC, with every sentence pinpoint-cited so your senior reviewer opens a document that's already at QC.

Evidence sources
Published literatureTrial registriesHTA precedentLabel / SmPCConference abstractsReal-world data
How it runs
  1. 1Scope & competing treatment locked
  2. 2Evidence pulled & graded
  3. 3Draft built with citations
  4. 4QC pass against framework
What changes

The work that finally lands the way you scoped it.

Reference-case alignment

Structure, perspective and discount rates pre-mapped to the NICE reference case. No rewrites at clarification.

Reference-case ready

Indirect comparisons the ERG can reproduce

Matching-adjusted indirect comparison and unanchored indirect treatment comparison scaffolding with assumptions tracked, sensitivities pre-run and code attached.

Audit-ready indirect comparisons

Pre-built ERG response pack

Anticipated clarification questions drafted before the ERG asks them, grounded in published precedent.

−60% ERG cycle

End-to-end traceability

From source publication to model cell to dossier sentence. One chain of evidence your reviewer can follow.

100% traceable

Go into committee with the answers already drafted.

Book a NICE readiness review
Responsible AI · Enterprise security

Built for NICE-grade scrutiny.

Reviewer-shaped templates, reproducible analyses and a full audit trail. The work survives clarification, committee and appeal.

EU AI Act alignedSSO + MFAAES-256 + TLS 1.2+EU / UK data residencyFull audit trail
Pre-answered for information security, medical and legal review, and procurement.