Data Pipeline & Integration for AI Systems

We build secure ETL/ELT pipelines for AI readiness with encryption in transit and at rest, data lineage tracking, and audit compliance. Our data infrastructure enables production AI systems while maintaining regulatory compliance and complete data sovereignty for regulated industries.

PIPELINE ARCHITECTURE OVERVIEW

Our secure ETL/ELT pipelines transform enterprise data into AI-ready systems with full compliance and observability.

End-to-End Data Pipeline Architecture

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            }}%%
            flowchart LR
              subgraph "Data Sources"
                A1[Enterprise
Databases]
                A2[APIs &
Streams]
                A3[Files &
Documents]
              end

              subgraph "Secure Ingestion"
                B1[Encrypted
Connectors]
                B2[Data
Validation]
                B3[Change
Detection]
              end

              subgraph "ETL/ELT Processing"
                C1[Transform &
Clean]
                C2[Embeddings
Generation]
                C3[Quality
Checks]
              end

              subgraph "AI-Ready Storage"
                D1[Data
Warehouse]
                D2[Vector
Database]
                D3[Secure
Lake]
              end

              subgraph "AI Applications"
                E1[Model
Training]
                E2[Real-time
Inference]
                E3[RAG
Search]
              end

              A1 --> B1
              A2 --> B1
              A3 --> B1

              B1 --> C1
              B2 --> C1
              B3 --> C1

              C1 --> D1
              C2 --> D2
              C3 --> D1

              D1 --> E1
              D2 --> E3
              D3 --> E1
              D1 --> E2

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Security First: End-to-end encryption • PII masking • GDPR compliance • SOC 2 controls

DATA PIPELINE SERVICES

AI-ready data infrastructure with enterprise-grade security and compliance controls.

OUR IMPLEMENTATION APPROACH

1. Data Assessment

Comprehensive audit of existing data sources, formats, and quality. Requirements gathering for AI use cases. Data flow mapping and integration point identification. Compliance requirement analysis for your industry.

2. Pipeline Development

Iterative pipeline development with continuous testing. Security controls implementation including encryption and access management. Data quality checks and validation rules. Observability integration with monitoring and alerting.

3. Production & Operations

Production deployment with SLO monitoring. Runbook development for operational procedures. Performance optimization and scaling. Ongoing maintenance and enhancement support.

Pipeline Capabilities

Document Processing

Layout-aware extraction for contracts, policies, and regulatory filings. OCR integration for scanned documents. Metadata extraction and classification. Format conversion and normalisation.

Vector Database Integration

Qdrant, Milvus, and pgvector deployment and optimization. Index configuration for latency and recall targets. Hybrid search with dense and sparse embeddings. Incremental updates with consistency guarantees.

Real-Time Streaming

Event-driven architectures with Kafka and cloud-native alternatives. Stream processing for real-time AI features. Change data capture for database synchronisation. Low-latency pipelines for inference workloads.

PERFORMANCE & TECHNICAL SPECIFICATIONS

Enterprise-grade performance with sub-second latency and 99.9% uptime for mission-critical AI systems.

Throughput Benchmarks

  • Batch Processing: 10M+ records/hour with Airflow orchestration
  • Real-time Streaming: 100K+ events/second with Kafka integration
  • Embedding Generation: 50K+ documents/hour with GPU acceleration
  • Vector Search: <10ms P95 latency for 1M+ vectors

Scalability Metrics

  • Data Volume: Petabyte-scale processing with horizontal scaling
  • Concurrent Users: 10K+ simultaneous AI model inferences
  • API Rate Limits: Configurable up to 10K requests/second
  • Storage Growth: Auto-scaling vector databases with 99.9% availability

Reliability Standards

  • Uptime SLA: 99.9% availability with automated failover
  • Data Durability: 99.999999999% (11 9's) with cross-region replication
  • Recovery Time: <15 minutes RTO, <1 hour RPO
  • Security: SOC 2 Type II compliant with end-to-end encryption

Data Security & Compliance

Enterprise-grade security controls for sensitive data pipelines:

Encryption

TLS 1.3 encryption for all data in transit. AES-256 encryption at rest for storage and databases. Key management with HSM integration. Encrypted backups with secure key rotation.

Data Protection

PII detection and automated redaction. Tokenisation for sensitive fields. Column-level encryption and masking. Consent tracking and data subject request automation.

Audit & Lineage

Full data lineage tracking from source to destination. Immutable audit logs with tamper-evident storage. Compliance reporting for GDPR, HIPAA, and sector-specific requirements. Version control for pipeline configurations.

Schedule a call or send us a message

Send us a message or schedule a call