Data Analytics & AI for Financial Services

Insurance agencies, wealth management, fintech, and lending companies.

We understand the unique data challenges and opportunities in the financial services space. Our solutions are built around your specific business model, competitive dynamics, and regulatory environment.

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What Financial Services businesses struggle with

1Regulatory compliance and reporting
2Risk modeling and fraud detection
3Customer acquisition and retention analytics
4Portfolio performance reporting

How we solve them

Compliance reporting dashboards
Risk scoring and fraud detection models
Customer lifetime value and segmentation
Portfolio analytics and performance reporting

Results for Financial Services clients

DATA SCIENCE·Specialty Finance Provider

Lead Quality Model Helped Prioritize the Highest-Value Inquiries

The sales team had more inquiries than they could treat equally, and existing reports did not separate volume from quality. We built a lead scoring model using historical conversion patterns, channel behavior, and inquiry attributes so reps could prioritize the opportunities most likely to close.

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2.4XHigh-score close rate
ModelLead prioritization
AI GOVERNANCE·Finance

AI Governance Framework Paired With Pilot Roadmap

A financial services firm wanted to explore AI while maintaining strong review, compliance, and data protection standards. We developed an AI governance framework and paired it with a practical pilot roadmap focused on low-risk internal workflows.

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12Use cases evaluated
5Governance controls defined
DATA ENGINEERING·Insurance

CRM and Policy Data Cleaned for Renewal Insights

An insurance brokerage needed better visibility into renewals, client risk, producer activity, and policy concentration. We cleaned and connected CRM, policy, and revenue data into a reporting foundation designed for retention and cross-sell analysis.

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22K+Records standardized
14%At-risk accounts flagged

Frequently asked questions — Financial Services

Are your solutions compliant with financial regulations?
We design all financial analytics solutions with regulatory compliance in mind, including SOC 2, FINRA, and state-specific requirements.
Can you build fraud detection models?
Yes. We build anomaly detection and fraud scoring models using machine learning, trained on your transaction data.