Scala Compliance Infrastructure Development | Regulatory Engineering | Scala Teams
Scala compliance infrastructure

Compliance Infrastructure
Built to Hold Up to Scrutiny.

We build compliance infrastructure on Scala and the JVM where regulatory rules are encoded in the type system, audit trails are immutable by design, and every state transition is traceable. For fintech companies where getting compliance wrong is not a recovery situation.

FP.

Rules as pure functions

100%

Audit trail coverage

JVM.

Production grade

0x

Tolerance for gaps

Compliance rule engine Evaluating

Incoming transaction

TXN-0047291
$24,500.00 WIRE
AML velocity check
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Sanctions screening
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KYC status validation
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Threshold reporting (CTR)
PENDING
PEP exposure check
PENDING
Verdict Evaluating rules...

Why Scala for compliance infrastructure

Compliance systems need a language where
rules are enforced, not just documented.

Compliance failures in financial systems are not edge cases. They are the result of business rules that were documented but not enforced, audit trails that were planned but not implemented, and systems that worked correctly until they didn't. Scala's type system closes those gaps at the language level.
01 Regulatory rules encoded in the type system Compliance rules that live in documentation can drift from the code. In Scala, regulatory constraints can be encoded directly in the type system so violations are impossible to compile. The rule is not just checked at runtime — it is enforced at the language level before the code ships.
02 Immutable event logs by default Immutable data structures make it natural to build compliance systems where every state transition is recorded and impossible to modify after the fact. Audit trails become a consequence of the architecture, not a layer that gets skipped when the system is under load.
03 Pure functions make rules testable in isolation Compliance rules written as pure functions can be unit-tested against any input without a running system, a database, or a network connection. You can verify that the AML velocity check, the sanctions screen, and the KYC validation all behave correctly before they touch a single production transaction.
04 Structured concurrency for high-volume rule evaluation Cats Effect and ZIO run compliance checks concurrently across thousands of transactions without the race conditions that make concurrent compliance code dangerous. Rule evaluation is fast enough to run synchronously in the transaction path without creating a bottleneck.
05 Reproducible historical queries for regulatory review Delta Lake and Iceberg time-travel combined with immutable event sourcing means any historical state of your compliance system is queryable and reproducible. When a regulator asks what your system knew at a specific point in time, you can answer with confidence.
06 Proven in regulated financial environments Scala has been running compliance and risk infrastructure at financial institutions for over a decade. The language and the ecosystem have been validated in environments with PCI DSS, MiFID II, GDPR, and SEC reporting requirements. The compliance use case is not experimental for Scala.

What we build

Scala compliance infrastructure capabilities.

01

Compliance rule engines

AML, KYC, and sanctions screening systems.

Cats Effect ZIO Scala

We build compliance rule engines that evaluate AML velocity checks, sanctions screening, KYC validation, and PEP exposure checks concurrently in the transaction path. Built on Cats Effect and ZIO with pure function rule definitions that are fully testable in isolation and auditable in production.

02

Immutable audit trail infrastructure

Tamper-proof event logs for regulatory review.

Kafka Delta Lake Doobie

We build immutable audit trail systems that record every compliance-relevant state transition with a timestamp, the rule that triggered it, and the data that was evaluated. Built on Kafka and Delta Lake so the audit log is append-only, reproducible, and survives any downstream system failure.

03

Regulatory reporting pipelines

CTR, SAR, and MiFID II reporting on Spark.

Apache Spark FS2 Scala

We build the regulatory reporting pipelines that produce Currency Transaction Reports, Suspicious Activity Reports, and MiFID II transaction reports from your financial data. Built on Apache Spark and Scala with the data lineage and reproducibility that regulators require when they ask how a number was computed.

04

Real-time transaction monitoring

Streaming compliance checks at transaction velocity.

Kafka Akka Streams ZIO

We build real-time transaction monitoring systems that evaluate compliance rules at the speed of your transaction flow. Kafka and Akka Streams process events with the throughput and ordering guarantees that compliance monitoring requires, without creating a bottleneck in the payment path.

05

KYC and onboarding infrastructure

Type-safe identity verification and customer onboarding.

http4s Cats Effect Doobie

We build KYC and customer onboarding backends that manage identity verification workflows, document processing, and ongoing customer due diligence with the type safety and audit trail requirements that regulated onboarding demands. Every decision is recorded, traceable, and defensible.

06

Compliance data governance

Data lineage and governance for regulated financial data.

Delta Lake Apache Spark Kafka

We build the data governance infrastructure that compliance programs depend on: data lineage tracking, retention policy enforcement, access logging, and the schema governance that prevents compliance-relevant data from drifting silently across systems and environments.

Built for compliance

The four properties every compliance
system must guarantee.

01

Enforceability

Compliance rules are encoded in the type system, not just documented. Violations are caught at compile time before they reach production, not discovered during a regulatory examination.

02

Traceability

Every compliance decision traces back to the rule that triggered it and the data that was evaluated. No black boxes, no untraceable outputs, no decisions that can't be explained to a regulator.

03

Immutability

Audit logs and compliance records are append-only and tamper-proof. Historical states are reproducible. When a regulator asks what your system knew and when, you can answer precisely.

04

Completeness

Every compliance-relevant event is captured. No gaps under load, no missing records during system failures, no partial audit trails that create regulatory exposure during an examination.

Common questions

Questions we get before the first call.

If your question isn't here, it takes one conversation to answer it.

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Do your engineers have experience with regulated financial environments specifically?

Yes. We match clients with engineers who have built compliance infrastructure in regulated fintech environments: AML rule engines, regulatory reporting pipelines, KYC systems, and audit trail infrastructure. Experience in regulated environments is a requirement, not a nice-to-have.

Which regulatory frameworks have your engineers worked with?

Our engineers have worked on systems with PCI DSS, PSD2, MiFID II, AML and BSA requirements, GDPR data governance, and SEC reporting obligations. The specific framework matters less than the engineering discipline — the underlying patterns for audit trails, rule engines, and regulatory reporting are consistent across most frameworks.

Can you integrate with our existing compliance tooling and data providers?

Yes. Whether you're using a third-party sanctions data provider, an existing KYC vendor, or internal risk data sources, our engineers build the integration layers that connect them to your Scala compliance infrastructure. We work within your existing vendor relationships rather than replacing them.

Our current compliance system has audit trail gaps. Can you fix that without a full rebuild?

In most cases yes. We assess what's missing, identify the highest-risk gaps, and implement targeted fixes that close the audit trail without requiring a full system replacement. A complete rebuild is sometimes the right answer, but we don't recommend it unless the existing system is beyond incremental repair.

How quickly can engineers be contributing to our compliance codebase?

Most engineers are contributing within days. They come in knowing Scala, the compliance domain, and the operational constraints of regulated systems. We don't do multi-week onboarding periods and we don't send generalists into compliance codebases.

Tell us what you're building.