Transaction volumes are at petabyte scale, fraud is evolving faster than legacy analytics can respond, and data trapped across warehouses, lakes, and legacy systems means every new initiative starts late, costs more, and delivers less.
AIStor consolidates scattered transaction data into a single, high-performance platform, eliminating silos, redundant copies, and integration complexity.
High-performance storage for financial analytics and compliance.
Fraud Detection & Prevention
Power real-time AI models with the throughput needed for instant risk assessments, replacing HDFS pipelines that can't keep pace with modern fraud.
AI/ML & Regulatory Compliance
Store complete transaction history at scale for anti-money laundering investigations, financial crime analysis, and regulatory reporting.
Risk Analytics & Modeling
Run daily risk calculations with more than 4 hours of SLA headroom instead of minutes, significantly reducing the risk of breaching regulatory reporting deadlines.
Credit Risk & Early Warning
Feed ML pipelines for credit scoring, churn prediction, identity risk, account takeover prevention, and anomaly detection.
How It Works
AIStor decouples storage from compute and eliminates the bottlenecks that slow financial analytics, so fraud models run faster, risk pipelines meet SLAs, and compliance data stays accessible for years.
Decouple Compute from Storage
Analytics engines scale independently from the storage layer.
Spark, Trino, Databricks, and Flink scale on their own terms
Optimize compute for the workload without storage I/O constraints
The architectural shift behind 65%+ faster fraud-model runtimes vs. HDFS
S3 API as Universal Data Fabric
100% S3 API compatibility, not a partial implementation or gateway translation.
Fraud pipelines, risk analytics, and compliance reporting use the same protocol
No code bifurcation across different storage APIs
Industry's most validated S3 implementation
High-Frequency Transaction Ingest
Built for the velocity of market feeds, payment events, and card authorizations.
Multi-TB/s ingest through stateless architecture
No centralized metadata bottleneck
Add capacity, add throughput — linear scaling
Multi-Year Compliance Retention
Full-fidelity transaction history for the regulatory timelines your business requires.
Erasure coding makes 5-7 year retention viable at a fraction of legacy cost
Meets SEC 17a-4, MiFID II, BSA/AML, and SOX requirements
Historical depth ML fraud and credit risk models need for training
Lakehouse-Native Architecture
Direct integration with the modern financial analytics stack and no translation layer.
Works with Iceberg, Delta Lake, Trino, Starburst, and Databricks
AIStor Tables adds native table management and Delta Sharing
Cross-LOB data access without data movement or duplication
Hybrid and Sovereign Deployment
Deploys in the environments financial institutions actually operate in.
On-premises on commodity hardware with no cloud dependency
FIPS compliance and air-gapped configurations
Production-ready in weeks, not months
Our migration from Hadoop to AIStor and Trino completely changed how we handle analytics. We process double the data in one-third the time, with full control over infrastructure and costs.
Analytics Team Lead
Financial Services Organization
Proven Results
Quantified outcomes from AIStor customer production deployments.
Store 2-3× more data for the same cost
Nomura doubled usable storage capacity on existing hardware, avoided purchasing 20+ new servers, and replaced a fragile monolithic system with a hybrid cloud data lakehouse that cut daily risk processing by four hours.
>65% faster fraud-model runtime and 5× workload capacity
A leading national payment infrastructure provider migrated from legacy Hadoop to AIStor with Trino on Kubernetes, improving real-time AI fraud detection performance by 65% and achieving a 5× increase in workload capacity—while replacing expensive legacy licenses with open-source alternatives.
50% faster deployment with new AI-driven use cases
A global financial institution shifted from legacy appliance-based storage to an AIStor-powered data lakehouse, cutting deployment time in half while enabling entirely new AI-driven analytics workflows that weren't possible on the previous infrastructure.
A global digital payments provider serving 400M+ customers and processing over $1.5T in annual payment volume modernized its on-premises infrastructure with AIStor, consolidating petabytes of transaction, analytics, and compliance data into a unified S3-compatible private cloud as it scales toward exabyte capacity.
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