enterprise intelligence

Enterprise AI / enterprise intelligence

Enterprise Intelligence | 6-12+ months

Enterprise-Wide
Data Convergence

Build unified intelligence infrastructure that spans acquisitions, regions, and subsidiaries—enabling AI-powered decision-making across your entire enterprise ecosystem.

85 days

Average Integration Timeline

40%

Lower Integration Costs

35%

Reduced Team Size

99.9%

Scalable

When Growth Creates Intelligence Silos

Strategic expansion through M&A, regional growth, and subsidiary operations creates business value—but fragments intelligence across disconnected systems.

Post-M&A Integration

Acquired companies operate parallel ERP, CRM, and supply chain systems. Executive dashboards show incomplete pictures. Cross-entity synergies remain invisible.

Regional Consolidation

Geographic expansion creates separate instances for EMEA, APAC, Americas. Same products, different schemas. Customer intelligence can't flow across borders.

Subsidiary Networks

Parent company and subsidiaries maintain independent data environments. Cross-entity reporting requires manual reconciliation. Unified view remains theoretical.

What We Do

Build comprehensive data intelligence infrastructure that unifies fragmented ecosystems while preserving operational autonomy.

Multi-Source Integration

Extract data across ERP, CRM, databases, APIs, and documents

Semantic Unification

Unified business terminology across all organizations

Knowledge Graphs

Map relationships: customers → accounts → transactions

Entity Resolution

90%+ matching accuracy across disparate systems

Data Lineage

Complete audit trails for governance and compliance

Real-Time Streaming

Batch and streaming architectures for all use cases

AI Consumption

Vector embeddings for semantic search and reasoning

Governance Framework

Access control, security, and data sovereignty

The Data Reality

60-75%

Customer data fragmented across Salesforce, EHR, legacy CRM, billing

90%

Intelligence trapped in PDFs, emails, contracts

2-3 hours

Manual reconciliation per profile due to semantic chaos

Zero

Knowledge graphs mapping cross-entity relationships

Integration with Your Enterprise Stack

We build ON your existing platforms rather than replacing them. Seamless integration with enterprise-grade systems across your infrastructure.

Technology Stack

Five integrated layers transform fragmented ecosystems into unified, AI-consumable intelligence.

Powered by iBEAM Accelerators

Our data acceleration framework compresses 12-18 month integration timelines to 90 days through intelligent automation, pre-built connectors, and AI-optimized patterns.

Connectivity

Pre-built connectors • Document intelligence • Real-time pipelines

Velocity

Auto schema discovery • Quality validation • ETL generation

Intelligence

Semantic layers • Knowledge graphs • Entity resolution

Data Foundation

iBEAM connectors • Document intelligence • Real-time + batch

→ Complete data accessibility

Semantic Enrichment

Ontology mapping • Unified vocabulary • Standardization

→ "Revenue" = "Turnover" = "Net Sales"