Content input
Advertisement, claim or message submitted for review.
Validni is developing an AI-assisted platform to help businesses assess marketing claims and advertising content before publication — with a focus on evidence, relevant regulations and authoritative sources.
The planned platform is designed to organise a preventive review into clear, traceable steps. This workflow describes the intended product concept, not a currently operating service.
Advertisement, claim or message submitted for review.
Identify claims and potential risk indicators.
Compare with relevant rules and authoritative information sources.
Structured findings, references, evidence trail and limitations.
The planned catalogue contains eight core areas and seven expansion areas. The Serbian MVP will validate a smaller set of priority use cases first.
Environmental and sustainability claims, evidence and substantiation.
Price presentation, discounts, reference prices and promotional clarity.
Transparency around AI-generated or AI-manipulated content.
Manipulative interface patterns and consumer choice architecture.
Health-related marketing claims and their supporting evidence.
Disclosure of sponsored, influencer and commercial communications.
Use of protected designations of origin and geographical indications.
Review authenticity signals, misleading ratings and testimonials.
Consumer guarantees, conformity of goods and related information duties.
Recurring payments, renewal terms, cancellation and withdrawal flows.
Marketing statements about financial products, returns, risks and investments.
Comparisons with competitors, products, prices and performance claims.
Consistency between public marketing messages, terms, policies and supporting documents.
Advertising practices and claims directed at children or vulnerable audiences.
Product descriptions, mandatory information, labels and declarations.
Module coverage will be introduced and validated progressively for each market. The catalogue does not represent completed functionality.
Prioritise practical value for Serbia first, then expand compliance coverage and geographic reach after MVP validation. MVP priority is not the same as the full module catalogue.
Build and validate a focused product with reliable Serbian sources and a usable review workflow.
Extend the module catalogue, evidence handling and cross-checking of commercial content.
Add jurisdiction-specific rules and trusted data providers after the Serbian MVP demonstrates value.
Indicative sequencing, not a delivery-date commitment. Exact release scope depends on project validation, source availability and regulatory review.
Validni has the potential to grow beyond a business-facing compliance tool into a trusted public resource: helping people understand commercial messages, recognise warning signs, find reliable information and make more informed purchasing decisions.
Plain-language guides to consumer rights, guarantees, conformity, returns, subscriptions, cancellations and complaints — linked to relevant rules and official institutions.
Explanations of price reductions, environmental and health claims, sponsored content and influencer promotions — showing what is evidenced, unclear or still needs checking.
A planned checker for a product page, advertisement or offer, with relevant claims, available evidence, potential red flags and source links.
Educational examples of unverifiable reviews, hidden sponsorship, misleading countdowns, pressure tactics, unclear recurring payments and difficult cancellation flows.
A future information hub for official product-safety notices, recalls, consumer alerts, public registers and institutional guidance, with dates and original links.
Step-by-step signposting to the seller, market-surveillance body, consumer organisation or official complaint channel. Validni would not adjudicate disputes.
Consumer-facing features are a proposed development direction, not currently available services. Information would be dated and sourced. Automated signals alone would not establish a legal violation.
Validni is planned as a provider-independent, modular platform. AI services support research and analysis, while a separate national and regulatory source layer anchors findings in traceable information.
Architecture shown is a planned design direction, not a statement that integrations or services are already operational.
Model APIs, routing, quotas, fallbacks and cost controls.
Specialised agents and validated reusable procedures.
Official legislation, national agencies, regulators, public registers and trusted institutional platforms.
The following blueprint explains the intended processing pipeline, control points and evidence model. It is a development specification for the proposed platform, not a description of deployed functionality.
A business user submits an advertisement, product page, offer, document, image or text. The intake step records the selected market, language, date, product category and intended audience, then prepares the material for analysis.
A supervisor converts the request into a controlled workflow: identifies the jurisdiction, classifies likely compliance areas, selects approved agents and tools, and defines the evidence needed. It manages workflow state, checkpoints, retries and hand-offs.
A model router assigns suitable providers to extraction, classification, summarisation or reasoning tasks. Planned controls include provider health checks, usage quotas, cost ceilings and fallback routes. Free tiers may be used where available; availability and terms can change, so no provider is assumed to be permanently free.
Focused agents handle defined areas such as prices and discounts, hidden advertising, fake reviews, guarantees or subscriptions. Skills are reusable procedures with defined input/output schemas, versions, integrity checks and test history. An agent cannot grant itself new permissions.
A curated knowledge layer retrieves relevant legislation, regulator guidance, public registers and institutional materials. Each source is tagged by country, issuing body, language, document type, publication date and effective period. Search snippets alone are not treated as legal evidence.
Where possible, exact values are checked with deterministic logic: dates, percentages, arithmetic, required fields and document versions. AI supports interpretation of context and language. Ambiguous or high-impact cases are flagged for human review rather than converted into automatic legal conclusions.
Registries are the control plane for what can run, what it can access and how its quality is verified.
The planned evidence record links each reviewed claim to the material used to assess it. This makes it possible to inspect not only the result, but also where it came from and what remains unknown.
Implementation boundary: these components describe the proposed target architecture. The current website is a project presentation; it does not accept submissions, run compliance checks, maintain a live legal database or generate operational evidence reports. No institutional integration, data-sharing agreement or endorsement is claimed.
The platform can retain a common workflow while adapting legal mapping, language and official source providers to each jurisdiction.
National legislation, competent institutions, registers and official public information.
Phase 01 · MVPSeparate national source collections and regulatory mappings for each country.
Phase 02 · RegionalEU legal sources combined with country-specific sources for relevant Member States.
Phase 03 · EUPotential official sources, subject to relevance, authority, access terms and update-frequency checks:
Potential EU-level references, complemented by relevant national authority portals:
These are potential official source providers only; they do not imply existing technical integration, data-sharing agreement or endorsement. Every source must be checked for jurisdiction, effective date, amendments and context. AI outputs are analytical assistance, not legal determinations.
Validni is intended to make early review more structured, explainable and accessible — not to replace legal professionals or regulators.
Planned references to applicable legislation, official institutions and relevant source documents.
A proposed evidence trail showing the basis, references and limitations behind each finding.
Designed to help review content before publication, rather than only react after a dispute.
The first planned product scope focuses on the Serbian market. Regional and EU expansion would follow only after MVP development and market validation, using jurisdiction-specific rules and source providers.
Development status: Validni is currently at the concept and project-planning stage. The functional platform is proposed for development through the Smart Start project. No public product functionality is available on this website.