Knowledgeable
Responsible AI · Designed to align with the EU AI Act

AI, done the way pharma actually needs it.

Grounded. Governed. Auditable. Human-in-the-loop by design. Enterprise security baked into every layer. SSO, 2-factor, encryption, audit trail and EU/UK data residency on day one.

Designed to align with the EU AI ActGDPR / UK GDPRSSO + MFA enforcedAES-256 + TLS 1.2+EU / UK data residencyNo training on your dataFull audit trail
Two modes

Two modes, one grounded brain.

Ask for a quick, cited answer. Build to plan the work, execute the next concrete step and QC before it ships, mapped directly to your platform structure. Use either by hand, by chat, or both at once. Build runs the next step, never the whole programme in one go.

Ask

mode

Get one grounded answer, fast. Quick QA, summarisation and lookups over your evidence.

  • Payer evidence questions
  • HTA precedent lookups
  • Fast summaries across your corpus
  • Always cited, never invented
Grounded in evidence · ontology · prior outputs

Build

mode

Plan the work, execute the next concrete step, and QC before it ships, mapped to your platform structure.

  • Plan: scope, sequence and pressure-test a programme before work starts
  • Execute: draft the next dossier section or deliverable, with citations
  • QC: claim-by-claim source check, gap detection vs. PICO, suggested fixes
  • One well-scoped move at a time, never the whole programme in one go
Grounded in evidence · ontology · prior outputs
How you work

Manual, chat, or any mix in between.

Every surface in Knowledgeable is fully usable by hand. Every surface also has Ask Knowledgeable one keystroke away. Use as much or as little AI as the moment calls for. The system, the evidence and the audit trail stay the same.

Do it yourself
Click, type, edit, ship.
Any mix in between
You're in control.
Hand it to AI
Chat your way through.
ManualMixedChat-first

Draft by hand, ask QC. Plan by chat, refine by hand. Same evidence. Same audit trail.

  • You stay the author.
    Manual editing is first-class, not a fallback. Type, drag, edit and ship without ever opening chat.
  • AI is always there.
    Open Ask Knowledgeable from any object: a search, a hub, a draft, a row, without leaving what you're doing.
  • Hand-off is seamless.
    Accept an AI suggestion, then keep editing. Edit by hand, then ask QC. No mode switch, no copy-paste.
Our AI principles

Five non-negotiables behind every model call.

AI without structure is noise. AI without grounding makes confident mistakes. AI without oversight is a regulatory liability. We solved all three.

Grounded

Every answer traces back to a source. No black-box claims. Ever.

Governed

Private to your organisation. Reviewable. Audit-ready by default.

Human-in-the-loop

Review, approve and reject flows on every consequential output.

Transparent

Model, version and confidence shown on every AI-generated artefact.

Compounding

Your corpus. Your ontology. Never shared. Always improving.

EU AI Act

Designed to align with the regulation, not to work around it.

Knowledgeable's AI features are designed against the EU AI Act's obligations for transparency, data governance, human oversight, technical documentation, post-market monitoring and logging. We map every consequential AI action to the Articles your DPO, MLR and IT security teams will ask about. Procurement isn't a six-month detour any more.

  • Risk classification documented per AI feature.
  • Provenance, quality and bias controls on ingested corpora.
  • Mandatory human review on consequential outputs.
  • Immutable logs of every prompt, retrieval and approval.
  • Clear AI disclosure to end users on generated content.
EU AI Act alignment notes
  • Art. 9
    Risk management
    Documented risk register across model, data and deployment lifecycle.
    Designed to align
  • Art. 10
    Data governance
    Provenance, quality and bias controls on every ingested corpus.
    Designed to align
  • Art. 13
    Transparency
    Model, version and confidence surfaced on every AI output.
    Designed to align
  • Art. 14
    Human oversight
    Review surfaces and approve / reject flows on every consequential action.
    Designed to align
  • Art. 15
    Accuracy & robustness
    Continuous evaluation, regression tests and red-team review.
    Designed to align
  • Art. 50
    User information
    Clear disclosure to end users that content is AI-assisted.
    Designed to align
How our AI works

Retrieval over governed evidence. Generation, only with citations.

Your private corpus is the source of truth. Foundation models reason over it under tight prompts, with every claim traced back to its evidence. A human reviews before anything moves downstream.

Sources
PubMed
ClinicalTrials.gov
OpenAlex
HTA bodies
Pricing DBs
Knowledgeable engine
Ontology
Grounded AI
Workflow surfaces
Outputs
HTA dossiers
Value stories
TPPs
Insights
Dashboards
Continuous flow · every output enriches the system

Private corpus

Your documents, your ontology, your prior work. All encrypted and isolated to your tenant.

Grounded reasoning

Models retrieve before they generate. No retrieval, no answer.

Human approval

Reviewers see source, model and confidence. Then explicitly accept or reject.

Enterprise security

Security tighter than your hardest customer demands.

Enterprise-grade controls aren't a paid add-on. They ship on every plan. Single sign-on, mandatory 2-factor authentication, role-based access, full audit logging and regional data residency are the default, not the negotiation.

Full security posture
SSO + MFA
AES-256
RBAC
Audit log
EU / UK
DPA + CMK

SSO + MFA enforced

SAML 2.0, OIDC and SCIM. 2-factor mandatory for every user. Step-up auth for sensitive actions.

RBAC + workspace scoping

Organisation, workspace and project-level roles. Least-privilege by default.

Encryption everywhere

TLS 1.2+ in transit, AES-256 at rest, managed keys with rotation. Customer-managed keys on enterprise.

Full audit trail

Every read, write, prompt and approval logged and exportable. SIEM-ready.

EU / UK data residency

Choose where your data lives. Cross-region transfers governed by SCCs and the UK IDTA.

Procurement-ready

DPA, sub-processor list, pen-test reports and model cards on request.

Procurement-ready

The 400-question InfoSec review, already answered.

We've sat on both sides of the vendor questionnaire. The trust pack is ready before your first call.

Vendor questionnaire pack

Pre-filled answers to the 400 questions your InfoSec, MLR and DPO teams are about to ask.

DPA + sub-processors

Signed Data Processing Agreement, current sub-processor list and notification of changes.

Pen-test + assurance

Annual third-party penetration test summaries under NDA.

Model cards

Per-feature model cards documenting purpose, training data scope, evaluation and known limits.

What we'll never do

Some lines we won't cross.

Responsible AI isn't a marketing layer. It's an architectural choice. And a list of explicit nos.

  • Train shared or third-party foundation models on your data.
  • Ship ungrounded answers. Every claim cites its source.
  • Take the human out of the loop on consequential decisions.
  • Hide which model, version or confidence produced an output.
  • Move your data outside your chosen region without instruction.
Talk to us

See it under the procurement microscope.

Walk through our AI architecture, security controls and EU AI Act alignment notes with the people who built them. NDA available before the first slide.

Request a security walkthrough