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VIKIDATA PRODUCTS

One platform. Four product families. Trusted data to governed AI action.

Explore the VikiData product modules that help organizations discover and model data, improve quality and lineage, master critical entities, operationalize governance, monitor trust, and control AI agents with evidence.

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Product Portfolio

Everything VikiData contains, organized around the enterprise data-to-AI lifecycle.

Products explain what the VikiData platform contains. Solutions explain the business problems those products solve.

Data FoundationCatalog, modeling, quality, lineage and lifecycle.Master Data & EntitiesMDM operations and entity intelligence.Governance & TrustGovernance, protection and observability.AI & AgentsCommand, build, copilot and agent evidence.
Product Family 01

Data Foundation

Build the trusted foundation for enterprise analytics and AI by understanding what data exists, how it is modeled, whether it is healthy, where it came from, and how it should be managed throughout its lifecycle.

Data Foundation

Catalog & Discovery

Unified metadata intelligence for finding, understanding, requesting and publishing data across connected enterprise sources.

Why it matters: You cannot govern or safely use data if people do not know where it is, what it means, who owns it or whether access is allowed.
Key capabilities
Data CatalogData ProductsReference DataDocument IntelligenceBrowse CatalogViki AI Semantic SearchData Access RequestsData Marketplace
Business value: Give users one governed map of the enterprise data estate and a safe path to reuse data.
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Data Foundation

Data Modeling

Defines business meaning across entities, relationships, metrics, semantic concepts, schemas and data contracts.

Why it matters: AI needs context. Modeling turns raw tables and columns into business concepts that people and AI can understand consistently.
Key capabilities
Semantic RegistryBusiness GlossaryEntity ModelRelationship ModelMetric DefinitionsSchema DiscoveryData ContractsStewardship Metadata
Business value: Establish shared business meaning so reporting, MDM and AI reason from the same definitions.
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Data Foundation

Data Quality

Continuously profiles, scores, detects, quarantines and helps remediate quality issues across connected data.

Why it matters: Bad data becomes bad MDM, bad reporting and bad AI decisions. Quality has to be tested before data is trusted.
Key capabilities
Quality OverviewCompletenessDuplicatesFreshnessSchema ChecksQuarantine PolicyRemediationQuality Alerts
Business value: Keep dirty or stale data from silently entering trusted analytics, MDM and AI workflows.
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Data Foundation

Lineage & Integration

Shows where data came from, how it moved, what transformed it, and how it connects to pipelines, queries, outputs and AI decisions.

Why it matters: When a number, record or AI decision is challenged, teams need source-to-output traceability.
Key capabilities
Lineage GraphSource-to-TargetCloud Data IntegrationPipeline BuilderRun HistoryPipeline LineageFederated QueryReverse ETL
Business value: Trace trusted information from source through movement, transformation and downstream use.
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Data Foundation

Data Lifecycle

Manages records across retention, archive, backup, recovery, legal hold, disposition and lifecycle evidence.

Why it matters: Governance includes how long data is kept, when it is archived, what cannot be deleted and how recovery or disposition is proven.
Key capabilities
Lifecycle PoliciesRetention SchedulesArchive ManagementBackup EvidenceRecovery CertificationDisposition WorkflowLegal HoldLifecycle Audit
Business value: Bring records-management controls and evidence into the same governed data platform.
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Product Family 02

Master Data & Entities

Create defensible golden records and keep mastered entities synchronized as connected source systems change.

Master Data & Entities

MDM Operations

Creates trusted golden records through entity resolution, survivorship, stewardship, publishing and evidence snapshots.

Why it matters: MDM is foundational for governed AI. If the vendor, customer, employee, supplier or portfolio entity is wrong, AI decisions can be wrong too.
Key capabilities
Golden RecordsFERN Entity ResolutionCandidate GroupsSurvivorship RulesStewardship QueueMerge EvidenceGolden Record SnapshotsEntity 360
Business value: Give the enterprise a trusted version of critical entities that can be explained, reviewed and published downstream.
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Master Data & Entities

Entity Intelligence

Tracks entity synchronization, fingerprints, change detection, CDC events and entity readiness after source changes.

Why it matters: Clients need to know what happens to mastered entities when Snowflake, Databricks or another source changes after the last sync.
Key capabilities
Entity Sync StateSource FingerprintsChange DetectionExisting Tables ChangedRecent Change EventsFERN SyncsRuntime State
Business value: Prove that mastered entities stay current as source records and schemas change.
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Product Family 03

Governance & Trust

Move governance from documents and policies into machine-readable metadata, runtime controls, protection, approvals, observability and evidence.

Governance & Trust

Governance & Trust

Turns governance into runtime controls using metadata, policies, approvals, classifications, enforcement rules, trust decisions and evidence.

Why it matters: Policy documents do not control AI systems by themselves. Governance has to become machine-readable metadata and executable rules.
Key capabilities
Governance DashboardPolicy ManagementRoles & StewardshipApprovalsChange LogData ContractsGoverned Record RuntimeDecision Evidence
Business value: Enforce governance before ingest, access and action rather than only documenting policy after the fact.
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Governance & Trust

Data & AI Protection

Protects sensitive data and AI usage through PII detection, masking, access control, policy checks, guardrails, jurisdiction and risk controls.

Why it matters: As users and AI agents touch more data, protection must happen before access and before action, not only after output.
Key capabilities
PII DetectionClassificationMasking / RedactionAccess ControlJurisdiction EnforcementRetention RulesAI GuardrailsEvidence Log
Business value: Protect sensitive information and govern how AI is allowed to use it.
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Governance & Trust

Observability

Monitors platform services, alerts, runtime health, snapshots, source refresh, errors and operational readiness.

Why it matters: A governed platform must detect its own operational problems and provide evidence that the environment is healthy.
Key capabilities
Runtime HealthService StatusMonitoring AlertsSnapshot IntegritySource Refresh StateConnector ErrorsCron / SchedulerHealth Certification
Business value: Prove the platform is operationally healthy, current and ready for trusted business and AI use.
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Product Family 04

AI & Agents

Build, operate and govern enterprise AI agents with trusted context, policy enforcement, human approval, tool governance and verifiable evidence.

AI & Agents

AI Command Center

Central operational view for AI agents, registries, trust and risk, runtime activity, approvals, assessments, tool activity, evidence and live context.

Why it matters: Enterprises need a control plane before AI agents move from answering questions to taking actions.
Key capabilities
Agent EstateAI RegistryTrust & RiskRuntime ActivityPolicy & ApprovalsAssessmentsAgent / Tool ActivityEvidence ExplorerLive Activity
Business value: Know which agents exist, what they are doing, what policies applied and what evidence was retained.
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AI & Agents

AI & Studio

Build, configure and test AI workflows, agents, prompts, tools, RAG context and governed automations.

Why it matters: Teams need a place to build AI capabilities, but those capabilities must stay connected to governance, trust and evidence.
Key capabilities
Agent BuilderPrompt TestingTool ConfigurationWorkflow DesignerRAG / Knowledge ContextEvaluationDeployment Readiness
Business value: Build AI workflows that are grounded in governed enterprise data instead of operating as isolated experiments.
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AI & Agents

Viki Copilot

Conversational interface for asking business questions, exploring data, getting explanations and triggering governed workflows.

Why it matters: Business users need a simple way to work with governed data without writing SQL or understanding every backend system.
Key capabilities
Conversational BIFederated Q&AIntent DetectionAuto VisualizationFollow-up Q&AAction SuggestionsGovernance-Aware Responses
Business value: Give users a conversational front end to trusted data, MDM, lineage, governance and agent evidence.
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AI & Agents

Agent Trust & Evidence

Governs autonomous AI actions through execution mode, approvals, registry, lifecycle, trust gate, delegation and verifiable evidence.

Why it matters: When agents take action, the enterprise must know what was requested, what was evaluated, what was allowed or blocked, who approved and what evidence exists.
Key capabilities
Execution ModeCommand CenterApprovalsRegistryLifecycleTrust GateDelegationEvidence
Business value: Control autonomous AI actions with policy, trust, approval and reproducible evidence.
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Need the detailed product guide?

The complete VikiData Product and User Guide explains every module and subcategory, including purpose, why it matters, what each feature does and what to say during a client demonstration.

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