Nextech Enterprise USA

Your Data Stack Has 7 Tools.
You Only Need One.

Connect any source. 10 AI agents clean, score, and govern your data. Digital Twin simulates impact. Reverse ETL pushes intelligence back — delivering trusted insights across all your systems with zero configuration.

10
AI Agents
21
Modules
5
MCP Tools
6
Stewardship Agents
0
Config Needed
Connect Any Source:❄️ SnowflakeSAP📄 CSV / Excel🍃 MongoDBOracleSalesforce📄 PDF / Docs🔌 APIs
The Problem

Enterprise Data Is Broken

Five critical problems that cost enterprises millions every year

🗄️
Data Silos
Snowflake, SAP, CSVs scattered everywhere. No unified view of your business.
🔧
Multiple Tools
7 separate tools for ETL, warehouse, quality, MDM, governance, BI, reverse ETL — 4 contracts, 4 teams.
⏳
Weeks to Value
Schema config, ETL pipelines, custom dashboards — 6-8 weeks before first insight.
🤖
No AI Intelligence
Rule-based matching, manual risk scoring, no self-healing. Humans do everything.
📦
Dumb Pipelines
Traditional pipelines move data without understanding it. They transport, they do not improve.

VikiData: Connect any source → AI intelligence in 6 seconds → Push intelligence back → AI intelligence in 6 seconds → Self-healing operations

Core Capabilities

10 Ways VikiData Transforms Your Data

Every capability is powered by specialized AI agents — not rule-based logic

🔗
Federated Query
Ask anything in plain English across Snowflake, SAP, CSV — no SQL needed
🔑
FERN Entity Resolution
GPT-4o fuzzy matching — 'Acme Corp' = 'ACME Corporation' in 6 seconds
🔬
TFM Risk Scoring
TabPFN + rules for vendors, invoices, HR, contracts. Risk 0-100.
🔭
Data Observability
Health monitoring, schema drift, self-healing remediation with one click
📄
Document Intelligence
Ingest PDFs, search documents, get cited answers alongside structured data
🔧
Pipeline Engine
Intelligent pipelines with AI in every step — not just dumb ETL
🌐
Intelligent Graph
AI discovers entity relationships — departments, vendors, contracts, invoices
🔗
Orchestrator v2
Chain multiple agents — data flows from Agent 1 output to Agent 2 input
📋
Governance
Data ownership, approval workflows, change control, SLA management
🔌
MCP Server
5 developer tools for Claude Code, Cursor, VS Code — SSE on port 8002
Multi-Agentic AI

10 Specialized AI Agents

Each agent handles a specific task. The Orchestrator v2 chains them together automatically.

1
Intent Classifier
GPT-4o
Routes questions to the right engine
2
SQL Generator
GPT-4o
Natural language to SQL + auto-JOIN
3
FERN Resolver
GPT-4o
Fuzzy entity matching & golden records
4
Graph Intelligence
GPT-4o
AI relationship discovery
5
Dashboard Intel
GPT-4o
Executive summaries & insights
6
Chart Agent
GPT-4o
Optimal visualizations automatically
7
TFM Risk
TabPFN
Universal risk scoring 0-100
8
Remediation
GPT-4o
Self-healing data fixes
9
Orchestrator v2
GPT-4o
Chains agents with data pipeline
10
Document Intel
GPT-4o + RAG
Search documents with citations
Platform Architecture

See How VikiData Processes Your Data

Watch data flow from raw sources through Multi-Agent AI processing to clean, actionable intelligence — step by step.
External data sources9 connectors feed raw data into VikiData ❄️ Snowflake ⬡ SAP BTP 📄 CSV / Excel 🍃 MongoDB 🔴 Oracle ☁️ Salesforce 📑 PDF / Docs 🔌 REST APIs 💾 Local files raw data streams in ⚡ Zero-configuration pipelineAuto-detects entity types, formats, relationships in 6 seconds ▼ Enters Layer 1: Integration & alignment
Layer 1: integration & schema alignmentRaw data is parsed, aligned, and unified ⚡ Zero-config pipeline6 sec entity detection 🔍 Schema-LightAuto-detect all formats 🔗 Schema alignmentMaps vendor → supplier clean data → 🌊 Unified data intelligence lakeChromaDB + SQLiterfp_documents, vendor_proposals, contracts feeds into ▼ Enters Layer 2: 10 AI agents 📡 Monitoring & schema registry
Layer 2: agentic processingOrchestrator v2 chains 10 specialist agents Data lakeSource of truth 🧠 Orchestrator v2Decomposes, chains, manages loops 🎯 Intent classifierRoutes questions 💽 SQL generatorNL to SQL 🔬 FERN resolver93% golden records 🕸️ Graph intelRelationship maps 📊 Dashboard intelKPIs, summaries 📈 Chart agentAuto-viz select ⚠️ TFM riskScores 0-100 🔧 RemediationSelf-healing 📝 Document intelTextract + embed outputs flow to ▶ MCP server (port 8002)
MCP server & Reverse ETL5 tools on port 8002 + push intelligence backAgent outputsMCP serverquery_datarisk_analysisdata_catalogdata_qualityentity_resolutionAI IDEsClaude CodeVS CodeCursorReverse ETLSnowflakeWebhookCSV Export
21 platform modules + Digital TwinClean dashboards + what-if simulation10 agentsProcessed dataExecutive DashboardKPIs, charts, risk alertsIntelligent GraphEntity relationshipsFederated QueryPlain English to chartsSmart AlertsEmail + Webhook + ApprovalDigital TwinWhat-if simulationReverse ETLPush intelligence backData ContractsSLA enforcementUsage AnalyticsPlatform adoptionConsumers: procurement teams, executives, analysts, developers
Platform

21 Platform Modules

Every module accessible from the sidebar — each powered by specialized AI agents

📊
Dashboard
AI Executive Summary, KPIs, Fed Query, Conversational BI, Entity Resolution, TFM Risk
🤖
AI Agents
AgentFlow: auto-profile, dedup, risk score, compliance — one click
📋
Data Catalog
Metadata registry, table profiling, column stats, AI entity detection
🌐
Intelligent Graph
AI-discovered department-vendor-contract-invoice relationships
👤
Entity 360°
Single entity view from every connected source in one page
📡
Real-Time Monitor
Live connection health, data flow tracking, event stream
🔭
Data Observability
Health scores, schema drift, self-healing, PDF/Excel export
📄
Document Intelligence
PDF/CSV ingestion, ChromaDB embeddings, cited AI answers
📋
Viki Governance
Ownership, approval workflows, change control, SLA management
🔧
Pipeline Engine
9 step types with AI in every step. Schedule: manual to every 15 min
📚
Reference Data
Master lookup tables, code lists, standardized values
🔍
Data Lineage
Source-to-result tracking, event timeline, entity history
✅
Compliance
Compliance score, quality checklist, full audit trail
🤝
Schema Alignment
AI auto-maps columns: vendor_name = supplier_name at 95% confidence
🔌
MCP Server
5 developer tools exposed via Model Context Protocol on port 8002
📈
Usage Analytics NEW
Who, what, when, which agent — full activity tracking
🔔
Smart Alerts NEW
Email + webhook + approval workflow chains
📝
Data Contracts NEW
SLA enforcement per dataset
🔄
Reverse ETL NEW
Push enriched data back to Snowflake, webhooks, CSV
🏗️
Digital Twin NEW
What-if enterprise simulation with AI
👥
Data Stewardship NEW
6 AI agents: profile, dedup, remediate, risk, decide, audit

Ready to Transform Your Data?

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