The model remains untrusted.
Fluent output can contain unsupported, over-broad or out-of-context assertions.
Book a demonstrationINTRODUCING SEMANTIC RELEASE GOVERNANCESWISS ENGINEERED · VALIDIX / 01
Regulated work
will move at
machine speed.
Governance must too.
Validix turns approved evidence, policy and context into an executable control plane for generated language.
So regulated enterprises can create at AI speed—without trusting AI to decide what is valid.
THE OLD MODELDocuments wait
for review.
→for review.
THE VALIDIX MODELEvery claim earns
its release.
its release.
VALIDITYDECIDES.
APPROVED EVIDENCEGOVERNED MEANINGEXECUTABLE POLICYCONTROLLED RELEASE
Generative AI created a new production engine.
Validix creates its control plane.
Models optimize linguistic probability.
→Validix governs semantic admissibility.
→Only validated language crosses the release boundary.
01 · SEE THE DECISIONOne claim.
One claim.
One release boundary.
Now inspect what the switch evaluates. Choose a candidate, explore each semantic field, then run the assertion through controlled release.
01 GENERATION
02 GOVERNANCE
03 RELEASE
UNTRUSTED CANDIDATE · y
“CardioMax ”
pθ(token) · fluent ≠ validSEMANTIC FIELD 02PREDICATE
Predicate broadening · no entailing Atom
OUTPUT INTERCEPTEDAWAITING INSPECTION
Candidate cannot cross before semantic evaluation.
Accept(y,x,j,t) = 0
01 · THE CONTROL GAP
PLAUSIBILITY IS NOT VALIDITYA language model predicts words.
A language model predicts words.
A regulated system must govern claims.
pθ(y|x)≠Valid(y,j,t,c)LINGUISTIC PROBABILITYFACTUAL + CONTEXTUAL VALIDITY
Authority lives outside it.
Evidence, approvals, policy, time and jurisdiction form the governed state.
Release is a separate decision.
Candidate language is intercepted and must earn release assertion by assertion.
02 · THE NEW COMPUTATIONAL PRIMITIVEFrom document chunks
From document chunks
to Governed Atoms.
A Governed Atom separates stable semantic identity from mutable governance state. Explore every field.
asem = ⟨ , , , , , ⟩
sSubject
SELECTED FIELD · 01
Subject
CardioMaxThe entity the assertion is about.
semantic identitytraceableversioned
03 · THE SIX-STAGE MACHINEFollow one claim
Follow one claim
through the architecture.
Every step transforms or tests an explicit object. Select any stage—or walk through in order.
EXECUTION STEP 01 / 06
Turn evidence into governed meaning.
Source evidence is decomposed into minimal semantic tuples. Predicate, object, qualifiers, provenance and the exact source span stay attached.
f_atom(e, span, Ω)
WORKED EXAMPLE
Study A → ⟨CardioMax, reduces, SBP, {10 mg, 12 weeks, adults}, π₁⟩e
INPUTCONTROLOUTPUTGoverned Atoms + h_sem04 · THE ARCHITECTUREThe model sits inside
The model sits inside
a governed cage.
The cage does not assume generation is safe. It constrains what enters, observes what comes out, and controls whether anything is released.
- Before generation — compile admissible Atoms for this request, jurisdiction and time.
- After generation — recover the candidate’s actual semantic assertions.
- At release — enforce entailment, scope, policy, citations and balance.
GOVERNANCE PLANE · Gₜ
CONTROLLED INPUT𝒜safe
aGOVERNED
ATOM
ADMISSIBILITYJURISDICTION + TIMEPOLICY + EVIDENCEATOM
CONTROLLED OUTPUTRelease / NR
UNTRUSTED COMPONENTpθ
05 · THE CIRCUIT BREAKERDon’t take the equation
Don’t take the equation
on faith. Operate it.
The formalism behaves like logical AND over governed conditions. Change a term and see the release state respond.
INTERACTIVE FORMAL LAB
One zero changes everything.
Toggle a validity factor or assertion match. The product operator is the circuit breaker: release requires every relevant term to equal one.
01 · CONTEXTUAL ATOM VALIDITY
Valid(a,j,t,x) = 1 × 1 × 1 × 1 × 1 = 1
Result: Atom may enter 𝒜_safe, subject to the quality threshold.
02 · OUTPUT ACCEPTANCE
Accept(y,x,j,t)
= ∏r∈R(y) 1[maxa∈𝒜safe M(r,a) ≥ τM]
= ∏r∈R(y) 1[maxa∈𝒜safe M(r,a) ≥ τM]
CONTROLLED-RELEASE SWITCH1 × 1 × 0 = 0NR · NO RESPONSE
R(y) assertions extracted from output𝒜safe admissible governed AtomsM(r,a) constrained semantic matchτM acceptance threshold
06 · WHY IT IS DIFFERENT
Retrieval helps a model answer.
Governance decides if it may.
THE EXISTING APPROACH
Vector RAG
Retrieves similar text chunks
≠
THE CONTROL GAP
Validity
Similarity does not establish current contextual validity
→
VALIDIX ARCHITECTURE
Governed release
Governed tuples filtered by validity
07 · THE MARKET MAPA new layer—not another
A new layer—not another
review workflow.
These adjacent categories solve important problems. Explore what each governs, then see the control gap that remains at the generated assertion itself.
05SEMANTIC RELEASE GOVERNANCEVALIDIX · THE NEW CONTROL LAYER
SELECTED MARKET LAYER
MLR + CONTENT OPERATIONS
Veeva PromoMatsVodoriIQVIAEVERSANA ORCHESTRATEAprimo
WHAT THIS LAYER DOES
Route, review, annotate, approve and manage regulated content.
THE REMAINING CONTROL GAP
The workflow records a decision. It is not itself a semantic release predicate.
VALIDIX
Machine-executable, assertion-level control between probabilistic generation and external release.
Representative market map based on vendors’ publicly described positioning. Product capabilities evolve; this is a category comparison, not a feature-by-feature assessment.
08 · ONE ARCHITECTURE · MANY ONTOLOGIESDesigned for every
Designed for every
highly regulated market.
The control pattern stays constant while each market defines its own evidence types, predicates, policies, authorities and temporal rules.
EXAMPLE CONTROL PATTERN · 01
Life sciences
A product claim is restricted to approved indication, population, dose, jurisdiction and current label.
Approved evidence→Context controls→Release decision
Same architecture. Domain-specific ontology and policy.09 · CATEGORY LIBRARYSpecific markets.
Specific markets.
Specific governed meaning.
Open each dossier to explore the business case, controlled objects, workflows, architecture, buyers and enterprise adoption path.
CATEGORY DOSSIER · LS
Official context ↗Life sciences
Scale compliant scientific communication without separating every sentence from its evidence.
WHY CONTROL IS REQUIRED
Promotional and medical language must preserve approved indication, population, dose, endpoint, limitations, risk balance, geography and effective label.
“FDA OPDP expects prescription-drug promotion to be truthful, balanced and accurately communicated.”
PLAUSIBLE · NOT ADMISSIBLE
→“CardioMax prevents stroke.”
BLOCK / REWRITESCOPED · EVIDENCE-LINKED
“In Study A, CardioMax 10 mg reduced systolic blood pressure at 12 weeks in adults with hypertension.”
ELIGIBLE FOR VALIDATIONHIGH-VALUE WORKFLOWS↗ Promotional content generation↗ MLR pre-submission↗ Medical-information response↗ Field enablement↗ Modular content assembly↗ Localization
CONTROLLED OBJECTS◇ Clinical endpoints◇ Label claims◇ Safety statements◇ Indications◇ Populations◇ References◇ Jurisdictional variants
10 · BUSINESS CASE LIBRARYFrom category theory
From category theory
to operating value.
Explore twelve concrete workflows across six regulated markets. Each case connects today’s friction to executable controls and an auditable deliverable.
Life sciences · BUSINESS CASE
Promotional claim assembly
OWNER · Commercial + MLRGenerate modular campaign copy from approved claims, references and required safety balance.
TODAY · DOCUMENT-CENTRIC
→Writers search claims libraries, copy references manually and discover scope issues during review.
WITH VALIDIX · MEANING-CENTRIC
Validix compiles admissible Atoms for the market, audience and channel before generation, then validates every extracted assertion.
EXECUTABLE CONTROLS01Approved indicationENFORCED02Population + doseENFORCED03Fair balanceENFORCED04Reference validityENFORCED
AUDITABLE DELIVERABLERelease package: claim map · citations · policy result · audit trace
11 · BUILD THE ECONOMIC CASEMeasure the review surface
Measure the review surface
before promising the outcome.
Use the interactive planning model to frame a pilot, establish a baseline and identify where reusable governed meaning may create capacity.
ILLUSTRATIVE BUSINESS-CASE MODEL
Estimate the review surface.
Model the amount of claim-level verification in one monthly content operation. This is a planning aid—not a promised result.
MONTHLY CLAIM TOUCHES6,000
assets × claims × review rounds
MANUAL VERIFICATION SURFACE700 h
illustrative hours across the review process
MODELED CAPACITY OPPORTUNITY140–315 h
If reusable governed meaning and automated pre-release checks reduce 20–45% of repetitive claim verification. Validate with a pilot.
BASELINE→PILOT→MEASURE→SCALE
12 · ENTERPRISE PLAYBOOKStart bounded.
Start bounded.
Prove. Then scale.
A category this important needs an adoption model as rigorous as its release model.
ENTERPRISE DEPLOYMENT PHASE 01
Select
Choose one high-value, bounded communication workflow with authoritative evidence and measurable review friction.
01Executive sponsor02Workflow owner03Evidence corpus04Baseline metrics
08 · ASSURANCE, NOT MAGICA precise guarantee
A precise guarantee
with explicit boundaries.
Under the paper’s assumptions, every regulated assertion in released output is entailed by at least one context-valid governed Atom.
Released(Y) ⇒ ∀r∈R*(Y), ∃a∈𝒜safe :
EntailsD(a,r) ∧ Valid(a,j,t,x)=1
This is a graph-relative release-soundness invariant—not an open-world truth theorem.EntailsD(a,r) ∧ Valid(a,j,t,x)=1
THE FIVE ASSUMPTIONS
01
Assertion extraction is complete
REQUIRED02
Semantic matching is sound
REQUIRED03
The safe-Atom invariant holds
REQUIRED04
Policy encoding is complete
REQUIRED05
Release control fails closed
REQUIRED09 · TRACEABILITY BY CONSTRUCTIONEvery release has
Every release has
a machine-readable why.
Inspect an illustrative execution trace. Each event links the request to the exact governed state used for the decision.
AUDIT TRACE · EXECUTION 7F3A RELEASED
10 · DUE DILIGENCEThe questions
The questions
serious teams ask.
Clear answers, including the limits.
aGOVERNED
ATOM
ADMISSIBILITYJURISDICTION + TIMEPOLICY + EVIDENCEATOM
BUILD THE GOVERNANCE LAYERMake every claim
Make every claim
earn its release.
Explore how Governed Atoms, contextual validity and controlled release can map to your evidence, policies and regulated workflows.