In financial services, a wrong answer is a compliance event, not just poor UX. We build fraud detection, risk scoring, and document intelligence that hold up to regulators and auditors, explainable, real-time, and built for SOC 2, PCI, and model-risk scrutiny from day one.

Get a production-readiness review What makes fintech SI hard

01 · Use cases

Six ways we deploy SI in fintech.

From real-time fraud scoring to document intelligence, every engagement is designed around the regulatory and data constraints of financial services.

01 · Use case

Fraud & Anomaly Detection

Real-time transaction scoring models with explainability for regulatory review. Sub-100ms inference with full audit trails.

02 · Use case

Financial Document Intelligence

RAG pipelines over contracts, prospectuses, and filings. Extract clauses, compare terms, answer questions over your document corpus.

03 · Use case

Regulatory Compliance Assistants

LLM assistants trained on your compliance policies. Accurate, auditable answers for your compliance team, with citations.

04 · Use case

Credit Risk Models

ML models for credit scoring, underwriting, and default prediction. Interpretable outputs required by regulators, not black boxes.

05 · Use case

Customer-Facing SI Advisors

Personalised financial guidance interfaces with guardrails. Scope-limited conversations that stay within regulated advice boundaries.

06 · Use case

Automated Reporting

SI pipelines that generate regulatory reports, investor summaries, and portfolio commentary from structured data.

02 · What makes fintech SI hard

Four challenges we solve first.

Hallucinations cost money
Financial SI requires factual grounding. Every output needs citations and a correction path, and we build that infrastructure before shipping.
Explainability is a compliance requirement
Regulators want to know why a model made a decision. Black-box SI is not acceptable for credit, fraud, or advice.
Data is sensitive and siloed
PII, transaction history, and KYC data require secure pipelines and strict access controls from the start, not as an afterthought.
Model drift in market shifts
Fraud patterns and market conditions change. Without monitoring, your model degrades silently while your team assumes it's working.

Proof, not promises

Twenty-plus SI systems shipped to production. One playbook, six industries, and a team that stays past launch.

SI systems live in production: 20+
Senior engineers & researchers: 21+
Upwork rating, 3 verified reviews: 5.0
Founded in Lahore: 2022

Verified Upwork clientSI product engagement · 5-star review

03 · Common questions

Before you brief us.

Can you build SI that meets financial regulations (FCA, SEC, FINRA)?: We build with compliance requirements as first-class constraints: explainability, audit trails, scope-limiting guardrails, and human-in-the-loop checkpoints. We work with your legal team, not around them.
How do you handle sensitive financial data?: All data pipelines are designed with least-privilege access, encryption at rest and in transit, and no training on client data without explicit agreement. We can deploy entirely within your cloud environment.
What's a typical fintech SI engagement?: Most start with a 2-week scoping sprint to identify the highest-value SI use case, followed by a 6–10 week build. Fraud detection and document intelligence are the most common first builds.
Can you work with our existing banking data infrastructure?: Yes. We've integrated with core banking systems, data warehouses (Snowflake, BigQuery), and financial data APIs. We don't require you to migrate data to work with us.

Available for new engagements

Book a free fintech SI scoping call.

30 minutes, one of our seniors, no slide deck. By the end of the call you will know whether we are the right team, and if not, who is.

Get a production-readiness review Email info@octalcode.com

Or call +1 (512) 710-5701

Let's scope it.Instant answers · free project scoping