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.

Talk to our experts Explore use cases

Ingesting monthly filings and statements

Routing low-confidence extraction to review queue

Reconciling cross-system portfolio records

Publishing audit-ready decision trail

Core Challenge

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

Case Study

Built a production system processing 30-40k documents monthly at 95% accuracy using orchestrated classification, OCR, and extraction agents

Multiple specialized agents handle different document types - scanned PDFs, digital reports, handwritten forms - each routed to the right processing pipeline

Hallucination guardrails and confidence-based routing ensure low-confidence extractions are flagged for human review

Structured output feeds directly into downstream financial systems with full audit trails

“The team has great expertise in Gen AI development. They provided valuable insights and a well-structured approach to our project. The results exceeded our expectations.”

Production Outcome

Specialized agents, confidence routing, and full auditability in a single operating flow.

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.

Managed

Cloud-Native

AWS, Azure, or Google Cloud Platform with automated scaling and redundancy.

Best for: fastest global rollout

High Security

Air-Gapped

Full deployment on private infrastructure with complete data sovereignty.

Best for: regulated workloads

Flexible

Self-Hosted

Ships as Docker Compose with optional Helm and Terraform modules.

Best for: custom platform stacks

Operations

Observable

Built-in Prometheus/Grafana observability with secure LLM proxying.

Best for: production monitoring