The unstructured-data problem
Your knowledge is buried in thousands of documents — and flat search can't connect it.
GrasPh turns PDFs, web pages and videos into a queryable Neo4j knowledge graph, then answers your questions with GraphRAG — every response grounded in graph context and cited back to source. Connect dots. Discover deeper insights.
Manual review & flat vector RAG
- ✕Information overload. Teams manually read thousands of disparate reports, articles and transcripts with no systematic way to store the knowledge.
- ✕Contextual blind spots. Keyword and vector search can't map how entities — companies, people, products — connect across documents, so signals get missed.
- ✕Hallucinations on multi-hop. Vector-only RAG fabricates answers to relationship questions because similarity can't traverse logic.
- ✕Build bottlenecks. Custom NLP pipelines, Cypher orchestration and graph UIs take engineering months teams don't have.
A connected, queryable knowledge graph
- ✓Minutes, not weeks. Upload documents and GrasPh auto-extracts a connected graph — no manual schema design or ETL.
- ✓Connects the dots. Entities and relationships are made explicit, so multi-hop questions resolve across every source at once.
- ✓Grounded & cited. Every answer is traced to graph context and source chunks — explainable, auditable, near-zero hallucination.
- ✓Out of the box. Pre-built ingestion, retrieval and visualization ship as a product — months of custom engineering avoided.
Engineering & business impact
From flat search to connected, grounded intelligence
Unified Platform
Enterprise Document Intelligence: One Platform
DocuLens combines advanced document understanding, conversational intelligence, automated verification, and compliance automation within a single enterprise platform.
The consolidated DocuLens platform acts as a comprehensive, end-to-end intelligent document processing and compliance engine — from raw document ingestion to traceable, audit-ready output.
Any Document, Any Layout
Handles standardized and non-standardized formats with 95%+ extraction accuracy across dense, unstructured layouts.
End-to-End Intelligence
From raw ingestion to compliance scoring — every step connected, traceable, and integrated with your enterprise systems.
Compliance-First Architecture
Every extracted insight links back to its source with confidence scores, ensuring full traceability for legal and C-suite teams.
Core Capabilities
Four Pillars of
Document Intelligence
Intelligent Extraction & Analysis
Structured data, clause isolation, and multi-layout parsing across any document type
Conversational Document Intelligence
Ask plain-English questions of individual documents or entire repositories
Automated Comparison & Auditing
Compliance scoring, anomaly detection, and full audit-ready traceability
Integration & Continuous Adaptation
Connects with GrasPh, CRMs, APIs, and stays current with regulatory changes
Intelligent Document Analysis & Extraction
DocuLens parses and extracts crucial data from both standardized and non-standardized documents with remarkable accuracy — handling the most complex real-world layouts enterprises face.
EXTRACT > Authorized Signatories: [ "John Smith", "Priya Mehta" ]
EXTRACT > Approved Activities: [ "Wire transfers >$500K", "M&A approval" ]
SCORE > Confidence: 97.4% · Source: pg.3, para.2
Conversational Document Intelligence
Users interact with documents — or entire repositories — using plain English. DocuLens delivers immediate, context-aware answers without requiring SQL, manual search, or document expertise.
DOCULENS > Found 7 contracts matching criteria:
· Acme Corp Agreement — 90-day net
· Global Supplies MSA — 75-day net
SOURCE > Clause 8.2 (each) · Confidence: 99.1%
Automated Comparison & Auditing
DocuLens streamlines compliance auditing by evaluating documents against regulatory frameworks, cross-referencing data points to detect anomalies, and producing fully traceable, audit-ready output.
SCORE > Compliance: 91/100
FLAG > ⚠ Signatory mismatch — pg.4 vs pg.11
FLAG > ⚠ Beneficial ownership >25% undisclosed
TRACE > All flags linked to source records
Integration & Continuous Adaptation
DocuLens doesn't operate in isolation. It feeds insights into Prajna AI's broader ecosystem, connects with enterprise systems, and keeps regulatory alignment current across highly regulated verticals.
EXTRACT > DocuLens → Entity data extracted
GRAPH > GrasPh → Relationship graph updated
CRM > Salesforce → Record auto-populated
STATUS > Onboarding complete in 4.2 minutes
Industry Use Cases
DocuLens at Work
Automated KYC Onboarding
Extract signatory data, ownership structures, and compliance details from KYC packages automatically — eliminating manual document review entirely.
Board Resolution Processing
Parse complex board resolutions to extract authorized signatories and approved activities with 97%+ accuracy, regardless of format or layout.
Regulatory Filing Compliance
Score regulatory submissions against evolving compliance frameworks, flagging anomalies before submission with full audit trails for examiners.
Why DocuLens
DocuLens vs. Generic OCR &
Rule-Based Systems
Most document processing tools extract text. DocuLens understands it —
the difference between reading a contract and knowing what it means.
| Capability | DocuLens | Generic OCR/IDP | Rule-Based Systems |
|---|---|---|---|
| Unstructured layout handling | ✓ 95%+ accuracy | ⚠ Template-dependent | ✗ Fixed formats only |
| Natural language querying | ✓ Plain English | ✗ None | ✗ None |
| Automated compliance scoring | ✓ Built-in | ✗ Custom build | ⚠ Manual rule updates |
| Traceable audit output | ✓ Source-linked | ✗ None | ⚠ Limited |
| Anomaly & red flag detection | ✓ AI-powered | ✗ None | ⚠ Predefined rules only |
| Enterprise system integration | ✓ Native connectors | ⚠ Manual export | ⚠ Limited APIs |
| Regulatory alignment updates | ✓ Continuous | ✗ Manual | ✗ Manual |
Ecosystem
Built to Connect to
Everything You Run
DocuLens plugs into Prajna AI’s Data Fabric and your existing enterprise
stack — from knowledge graphs to CRMs — enabling fully automated, end
-to-end document workflows.
GrasPh Knowledge Graph
Feeds extracted document insights directly into the GrasPh knowledge graph layer, enabling multi-hop reasoning across documents, entities, and relationships for holistic enterprise intelligence.
Data Fabric LayerEnterprise System Connectors
Native connectors to CRMs, data management platforms, and third-party APIs automate end-to-end workflows — from KYC onboarding to claims processing — without custom integration work.
Workflow AutomationEnterprise System Connectors
Native connectors to CRMs, data management platforms, and third-party APIs automate end-to-end workflows — from KYC onboarding to claims processing — without custom integration work.
Workflow AutomationOutcomes
What Teams Are Saying
See What's Hidden in Your Documents
Most organizations are drowning in documents they can’t truly process. DocuLens changes that — in weeks, not months.