Modernizing finance without missing a beat.
Financial institutions are transforming how they serve customers, manage risk and report, on platforms that carry decades of business rules. We have built and run those platforms, from C++ engines to Java cores to cloud, and we help set the strategy for what comes next. Then we deliver it in steps that keep the business running.
Core platform renewal
Long-running C, C++ and Java platforms hold the business rules. Documentation is thin and release windows are tight.
Java, .NET and Oracle modernization with characterization tests, service extraction and parallel runs that prove the new platform matches the old one before cutover.
Fast, reliable systems
Latency and throughput limits show up first at peak volume, the worst possible time.
Our engineers have built trading platforms in C++ and Java with JMS messaging. Profiling, tuning, and architectures that degrade gracefully instead of failing all at once.
Cloud under regulation
The business wants cloud speed. Risk and compliance want encryption, data residency and evidence.
Azure Landing Zones and AWS Control Tower with Terraform, DevSecOps and controls built in, plus evidence your auditors can review.
Reporting you can trust
The same number comes out differently in three reports, and month-end turns into a reconciliation exercise.
Governed data platforms with lineage, from data virtualization to Synapse and Snowflake, so every reported figure traces back to its source transactions.
Regulatory technology
Client onboarding, KYC and AML, capital planning and risk data aggregation all depend on systems that must agree with each other and with the regulator.
Our team has delivered client lifecycle management and strategic regulatory programs, including CCAR, BCBS 239 and recovery and resolution planning.
AI with controls
Teams want AI for documents, operations and service, but model risk and explainability rules slow every project down.
Azure OpenAI and RAG solutions with an audit trail, cited sources, human review and documented evaluation, plus Copilot rollouts under an AI governance framework.
What regulated work taught us.
These rules came from finance. We apply them in every sector.
Every change is reversible.
Feature flags, parallel runs and rollback plans before anything goes live.
Evidence is a by-product.
If the system records who did what and why, audits stop being a project.
Speed comes from safety.
Good tests and good observability are what let teams release more often.