The only AI-native data fabric platform purpose-built for banking and financial services — delivering unified data management, automated reconciliation, and intelligent insights in weeks, not months.
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Five enterprise-grade solutions built on the SCIKIQ Data Fabric, each powered by specialized AI agents delivering autonomous financial operations.
AI/ML reconciliation engine achieving 90%+ auto-match rates across GCash, InstaPay, BancNet, and GL systems with intelligent tolerance matching and exception handling.
GenAI-powered natural language generation for automated Balance Sheet & P&L commentary, variance analysis, and executive briefings with audit-ready documentation.
AI-powered multi-GAAP accounting hub with automated journal entry generation, sub-ledger aggregation, and real-time GL reconciliation for accelerated financial close.
AI-powered intercompany transaction matching, automated eliminations, and multi-entity consolidation with real-time dispute resolution and transfer pricing compliance.
AI-driven customer 360, next-best-action recommendations, churn prediction, and hyper-personalized campaign orchestration with real-time behavioral analytics.
Six key differentiators that make SCIKIQ the preferred choice for banking data transformation.
Production-ready data fabric in weeks, not the typical 12-18 month enterprise implementation. Start seeing value immediately.
Connect any source — SAP, Oracle, core banking, card switches, GCash, InstaPay, PESONet, and legacy COBOL systems.
Natural language queries, AI-powered data enrichment, auto-commentary generation, and autonomous ML workflows built-in.
Single source of truth with pre-built banking data models, ISO 20022 compliance, and real-time data lineage tracking.
End-to-end encryption, RBAC, row-level security, full audit trails, SOC 2 Type II certified, and BSP-compliant.
Deploy on Azure, AWS, or hybrid. Infrastructure as Code (Terraform) for repeatable, version-controlled deployments.
A proven framework delivering production-ready capabilities in 30-45 days.
Integrate all data sources with 167+ connectors. Batch + streaming ingestion with AI-powered schema mapping.
Standardize, cleanse, and enrich. GenAI-powered MDM, deduplication, and logical data modeling.
Metadata catalog, multi-hop lineage, RBAC, policy enforcement, and automated data quality monitoring.
NLQ GenAI Studio, ML workflows, BI connectors (Power BI, Tableau), APIs, and data products.
Six integrated layers covering ingestion to consumption — all AI-native, zero-code, and cloud-agnostic. Deploy on Azure or AWS with Infrastructure as Code.
Join leading financial institutions across Asia Pacific who trust SCIKIQ to power their data transformation journey. Start with a 2-week discovery assessment.