Our Solution

From Document Chaos to
Living Intelligence.

DataSparkX doesn't just organise your documents — it eliminates the need for them entirely. Four steps from your current state to a fully queryable knowledge graph.

2 days

Average time to first pipeline running and ingesting

40+

Pre-built connectors to enterprise document sources

0.08s

Average natural language query response time

Real-time

Knowledge graph updates as source documents change

01
Step One

Ingest Any Document Format

Connect your existing document stores — SharePoint, Google Drive, file servers, emails, Salesforce — and we ingest everything automatically. No custom integration, no IT projects, no disruption to your existing workflows.

Our universal connector library supports 40+ enterprise systems out of the box. For anything not on the list, our open API makes custom connectors straightforward to build.

  • Supports PDF, Word, Excel, PowerPoint, email, HTML, images, and more
  • Incremental sync — only processes changes, not full re-ingestion
  • Respects your existing folder structure and permissions
  • Handles multi-language documents automatically
☁️SharePoint OnlineLive
📁Google DriveLive
📧Microsoft ExchangeSyncing
💼Salesforce CRMLive
🖥️File Server (SMB)Scanning
12,847
Documents ingested
94%
Coverage
5
Sources active
02
Step Two

Extract & Structure Every Data Point

Our AI engine — trained on billions of enterprise document tokens — identifies, classifies, and extracts every meaningful entity from your documents. Paragraphs become structured fields. Tables become queryable datasets. PDFs become APIs.

The extraction layer handles ambiguity, language variations, abbreviations, and context — so your structured data is accurate, not just fast.

  • Named entity recognition: people, organisations, dates, values, locations
  • Relationship extraction: links entities across and within documents
  • Table and form parsing: structured data from visual layouts
  • Semantic deduplication: identifies equivalent concepts across sources
"The quarterly revenue for Q2 2024 was $4.2M, a 12% increase from prior quarter. Key customer Apex Ltd. contributed $820K."
⚡ AI Extraction
Revenue: $4.2M Period: Q2 2024 Growth: +12% Customer: Apex Ltd. Contribution: $820K
03
Step Three

Build a Living Knowledge Graph

Extracted entities and relationships are woven into a dynamic knowledge graph — a network of connected data that grows smarter with every new document ingested. Relationships between customers, contracts, financials, people, and decisions emerge automatically.

Unlike a document search, the knowledge graph lets you traverse relationships: from a customer → their contracts → their contract clauses → the people responsible → their email threads. All in a single query.

  • Automatic relationship inference across documents and data sources
  • Temporal tracking — see how relationships change over time
  • Conflict resolution — surfaces contradictions between sources
  • Continuous enrichment — adds context as new documents arrive
🕸️

Knowledge Graph

12,847 nodes · 34,210 edges · Updated real-time

💰
Revenue
Q2: $4.2M
🤝
Apex Ltd.
Key Customer
📜
Contract #8821
3yr · $2.4M
👤
James R.
Account Owner
04
Step Four

Query, Explore & Act

Your team accesses the knowledge graph through whatever interface fits their workflow — natural language chat, a visual explorer, dashboards, or the REST API. No SQL. No BI tools. No waiting for a data analyst.

Every answer is sourced: DataSparkX tells you exactly which documents contributed each piece of information, with direct links back to the originals.

  • Natural language query interface — ask questions in plain English
  • Visual graph explorer — navigate relationships interactively
  • Custom dashboards — pin KPIs extracted from your documents
  • REST API and GraphQL — embed intelligence in your own applications
$ query > What was Apex Ltd.'s total contract value in 2024? Apex Ltd. total contract value: $2.4M across 3 active agreements. Largest: Enterprise SaaS License ($1.2M, expires Dec 2025). Account owner: James R. Sources: Vendor_Contracts_2024.pdf · CRM_Export_Q4.xlsx · 2 more → response: 0.08s
💬Natural Language InterfaceActive
📊Dashboard & VisualisationsActive
⚙️REST API / GraphQLActive
Technical Architecture

Built for enterprise scale, from day one.

DataSparkX is architected in four layers — each designed to be independently scalable and enterprise-grade.

🔌
Ingestion Layer
Universal connectors, OCR, streaming pipeline
SharePointGoogle DriveEmailSAP+36 more
🤖
AI Extraction Layer
NLP, NER, relationship extraction, semantic deduplication
Custom NLP ModelsLLM IntegrationOCR Pipeline
🕸️
Knowledge Graph Layer
Graph database, temporal versioning, conflict resolution
Graph DBReal-time UpdatesAudit Trail
🖥️
Access Layer
NL query, dashboards, REST API, GraphQL, SDKs
Web InterfaceREST APIGraphQLPython SDK
See It in Action

Ready to see your data transformed?

Book a demo. We'll run the pipeline on a sample of your documents and show you the knowledge graph in 30 minutes.

No commitment · We use your own documents · 30 minutes