Financial Services
GenAI that reads, reasons, and acts on financial data
We build multi-agent systems that process tens of thousands of financial documents monthly, aggregate intelligence from live and persistent data sources, and automate compliance workflows — with the accuracy and audit trails financial services demand.
The intelligence bottleneck
Financial services firms sit on vast document repositories and fragmented data systems. Extracting structured intelligence from unstructured documents, reconciling data across sources, and maintaining compliance still requires armies of people doing repetitive cognitive work. The firms that automate this well gain a compounding edge.
Proof of Execution
Multi-agent document intelligence for alternative investments
Built a production system processing 30–40k documents monthly at 95% accuracy
-
5Production-grade accuracy
Built a production system processing 30–40k documents monthly at 95% accuracy using orchestrated classification, OCR, and extraction agents.
-
6Specialized agent routing
Multiple specialized agents handle different document types — scanned PDFs, digital reports, handwritten forms — each routed to the right processing pipeline.
-
7Hallucination guardrails
Confidence-based routing ensures low-confidence extractions are flagged for human review before reaching downstream systems.
-
8Full audit trail
Structured output feeds directly into downstream financial systems with complete audit trails for every agent decision.
Financial Workloads
What we build for financial services
Document Intelligence at Scale
Multi-agent pipelines that classify, OCR, extract, and validate financial documents. We've built systems handling 30–40k documents monthly across investment memoranda, fund reports, and regulatory filings — at 95% accuracy.
AI-Powered Data Aggregation
Agentic platforms that combine live market feeds with internal datasets, letting users query company, funding, and portfolio data through natural language with semantic search and vector retrieval.
Anomaly Detection & Reconciliation
Agents that monitor transaction flows, flag discrepancies, and reconcile across systems. Pattern recognition that catches what rule-based systems miss.
Compliance & Audit Automation
Automated compliance checks with complete audit trails. Every agent action logged, every decision traceable — built for environments where regulators expect transparency.
Risk Assessment & Scoring
LLM-powered analysis of portfolios, lending decisions, and market exposure. Agents that synthesize quantitative metrics with qualitative signals from documents and filings.
KYC / AML Workflows
Intelligent document processing for identity verification and anti-money laundering. Multi-agent systems that cross-reference, validate, and flag — reducing manual review burden.
Deployment Architecture
Built for regulated environments
Every system ships with role-based access controls, encrypted data handling, comprehensive audit trails, and deployment options that meet financial services security requirements.
Cloud-Native
AWS, Azure, or Google Cloud Platform with automated scaling and redundancy.
Air-Gapped
Full deployment on private infrastructure with complete data sovereignty.
Self-Hosted
Ships as Docker Compose with optional Helm and Terraform modules.
Observable
Built-in Prometheus/Grafana observability with secure LLM proxying.