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Agentic Data Labelling

Knowledge Graph Intelligence At Enterprise Scale

Transform petabytes of unstructured data into interconnected knowledge. Our intelligent categorization engine builds dynamic knowledge graphs that evolve with your business, revealing relationships across your data.

Scalable
Architecture
Dynamic
Knowledge Graphs
Complete
Audit Trail
Enterprise Scale

Processing at Enterprise Scale

From data lakes to legacy archives, our engine handles complex data structures and edge cases.

Large Corpus Processing

Process millions of documents simultaneously. Our distributed architecture scales horizontally to match your data volume without compromising categorization quality.

  • Parallel processing pipelines
  • Incremental processing
  • Resume-capable workflows

Data Lake Integration

Connect directly to your existing data infrastructure. Native connectors for enterprise data lakes, warehouses, and object storage systems.

  • S3, Azure Blob, GCS support
  • Snowflake, Databricks, BigQuery
  • On-premise data centers

Any Data Format

Structured databases, unstructured documents, semi-structured logs. Our engine understands context across all data types and formats.

  • Documents, PDFs, images
  • Database tables, JSON, XML
  • Logs, emails, transcripts
// Natural Language Categorization Rules
1

Customer Sentiment Classification

"Label documents as positive, negative, or neutral based on overall customer sentiment toward our products"

2

Regulatory Document Profiling

"Identify and tag all documents containing GDPR-relevant personal data, including names, addresses, and financial information"

3

Technical Documentation Taxonomy

"Categorize engineering documents by product line, component type, and document purpose"

Rules adapt automatically as your data evolves
Natural Language Rules

Define Categorization in Plain English

No complex taxonomies or rigid hierarchies. Express your categorization logic in natural language, and our AI translates intent into precise, consistent labelling rules.

Customizable Categorization

Build taxonomies that match your business domain. Multi-level, multi-label, hierarchical or flat.

Intelligent Labelling

Auto-assign labels based on content analysis, entity recognition, and semantic understanding.

Data Profiling

Automatically discover and profile sensitive data, PII, and regulatory-relevant content across your corpus.

Knowledge Graph Engine

Beyond Categorization: Relationship Intelligence

Our knowledge graph engine doesn't just label data - it discovers and maps relationships between entities, creating a living model of your enterprise knowledge.

Interactive Visualization

Explore your data landscape through intuitive graph visualizations. Zoom, filter, and navigate complex relationship networks with ease.

Multi-dimensional views
Dynamic clustering
Path discovery

Graph Analytics

Run powerful analytics across your knowledge graph. Identify patterns, anomalies, and deeper insights across your data.

Centrality analysis
Community detection
Link prediction

Direct In-Graph Editing

Make corrections directly in the graph interface. Edit entities, relationships, and labels without leaving the visualization.

Inline entity editing
Relationship management
Bulk operations
Human-in-the-Loop

Expert Review When It Matters

Configure review checkpoints that match your quality requirements. Our HITL workflows ensure human oversight at critical decision points without creating bottlenecks.

Confidence-Based Routing

Low-confidence categorizations automatically routed to expert reviewers. High-confidence decisions processed automatically.

Escalation Workflows

Define escalation paths for edge cases. Route ambiguous items to specialized reviewers based on content type or domain.

Active Learning

Human corrections feed back into the model. The system learns from expert decisions to improve future categorizations.

Complete Audit Trail

Every Decision. Every Change. Fully Documented.

Enterprise-grade auditability with complete lineage tracking. Know exactly what happened, when it happened, and why.

Every Labelling Action

Complete history of all categorization decisions with timestamps and context.

Decision Reasoning

Understand why each categorization was made with explainable AI outputs.

User Access Logs

Track who accessed, reviewed, or modified data with full access logging.

Model Calls & Responses

Full transparency into AI model interactions and confidence scores.

Rule Applications

See exactly which rules were applied to each document and their outcomes.

HITL Interventions

Document all human review decisions and their impact on categorization.

Access Your Data, Your Way

Flexible interface options designed for how your teams actually work.

Responsive PWA

Custom web application that works seamlessly across desktop, tablet, and mobile devices.

RESTful API

Full-featured API for programmatic access. Integrate labelling directly into your data pipelines.

Native Apps

Native applications for iOS, Android, and desktop for offline-capable review workflows.

Need Custom Integration?

Our team can build bespoke data labelling pipelines tailored to your enterprise taxonomy.

Explore Services

Ready to Organize Your Enterprise Data?

See how our knowledge graph engine can unlock insights hidden in your enterprise data. Custom solutions tailored to your industry and use case.

Contact us for custom enterprise pricing tailored to your data volume and requirements.