Financial Services
Factored AI builds production AI for financial institutions that drives revenue, automates operations, and meets strict regulatory and risk requirements.
Deploy AI Without Sacrificing Explainability, Auditability, Or Control.
01
Risk, Fraud & Compliance Intelligence
Reduced false positives by 75% while improving detection speed and audit confidence.
Built time-series forecasting and anomaly detection systems with probabilistic validation and explainable outputs for compliance teams.
Built time-series forecasting and anomaly detection systems with probabilistic validation and explainable outputs for compliance teams.
02
Operational Intelligence & Cost Optimization
Reduced analytics and infrastructure costs by up to 90% while improving SLA performance.
Optimized Databricks and Spark pipelines using partitioning, workload isolation, and cost-aware compute orchestration.
Optimized Databricks and Spark pipelines using partitioning, workload isolation, and cost-aware compute orchestration.
03
LLM-Powered Financial Analysis & Decision Support
Improved accuracy and trust in LLM-powered financial question answering.
Designed context-enhanced RAG systems combining graph databases and agent-based query routing for traceable, numerically accurate outputs.
Designed context-enhanced RAG systems combining graph databases and agent-based query routing for traceable, numerically accurate outputs.
Case Studies & Proven Impact
Context-Enhanced RAG for Financial QA
Enable accurate, explainable financial analysis with LLMs—without hallucinations.
- Traditional RAG systems failed on financial queries requiring historical reasoning, numerical aggregation, and traceability.
- Built a hybrid RAG architecture using Neo4j to model financial entities and time-aware relationships, wrapped with an AI agent to route queries intelligently.
- Improved response precision, reduced hallucinations, and enabled scalable analyst augmentation with source-traceable outputs.
Anomaly Detection Through Time-Series Forecasting in Computer Networks
Detect critical financial and operational anomalies faster with fewer false alarms.
- High-volume, high-variance system logs produced excessive false positives and delayed incident response.
- Designed a time-series forecasting and clustering system using Gaussian kernel PDFs and stationarity analysis.
- 75% reduction in false positives, 10× faster anomaly detection, and scalable processing of 10,000+ data points per minute.
Cost Optimization & Performance Framework
Cut cloud analytics costs without breaking SLAs.
- Poorly optimized workflows drove high cloud costs and slow job execution.
- Re-architected pipelines using predicate pushdown, partition pruning, Z-ordering, and spot-instance orchestration.
- Up to 90% cost reduction, SLA time reduced from 2 hours to 10 minutes.
AI-Powered Claims & Process Automation
Automate complex financial workflows end-to-end with AI agents.
- Manual claims and operational workflows increased cost and cycle time.
- Built AI agents to automate decisioning, document handling, and exception routing.
- Faster processing cycles, reduced operational overhead, and improved consistency in regulated workflows.
Fraud & Financial Risk Detection Pipelines
Identify fraud and financial risk earlier with scalable ML.
- Legacy rule-based systems failed to detect evolving fraud patterns.
- Implemented ML-based anomaly detection and risk scoring pipelines using time-series and behavioral signals.
- Earlier fraud detection, fewer false positives, and improved regulatory confidence.
Three Engagement Models
Embedded Engineers
Elite, dedicated engineers who onboard quickly, are embedded in your team, and are managed by your stakeholders.
Managed Services
End-to-end AI and data solutions designed, managed, and scaled by Factored to drive measurable ROI.
Advisory in AI, ML, and Data
Senior architects guide feasibility, prioritization, and strategy with expert insight to de-risk critical decisions, solve challenges and drive competitive advantage.
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