Services
Engineering across the full stack of a regulated system
Each practice stands on its own. Together they cover an idea from architecture through production — with the controls, evidence, and documentation a regulated operator needs.
01
Software Architecture & Engineering
Modernize core systems and ship new products on architectures that hold up to audit, scale, and change. Domain-driven design, event-driven platforms, and a secure SDLC from day one.
Outcomes we deliver
- Legacy core systems decomposed into maintainable, independently deployable services
- API platforms with versioning, contracts, and consumer governance
- Delivery pipelines with automated security, compliance, and quality gates
Capabilities
- Domain-driven design & architecture reviews
- Event-driven & microservice platforms
- API strategy, gateways, and contract testing
- Secure SDLC, threat modeling, SAST/DAST integration
- Performance, resilience, and disaster-recovery engineering
02
Cloud Architecture & Platform Engineering
Regulated-ready cloud foundations on AWS, Azure, or GCP — landing zones, guardrails, and internal platforms that let teams move fast without stepping outside your control framework.
Outcomes we deliver
- Multi-account landing zones with controls mapped to your compliance obligations
- Infrastructure as code with policy-as-code enforcement
- Self-service developer platforms that cut lead time to production
Capabilities
- Landing zones & cloud control frameworks (SOC 2, PCI DSS, HIPAA, FFIEC)
- Infrastructure as code (Terraform) & policy as code (OPA)
- Kubernetes platform engineering & progressive delivery
- Identity, network segmentation, key management, and data residency
- FinOps: cost visibility, allocation, and optimization
03
Data Pipeline Engineering
Batch and streaming pipelines you can trust for regulatory reporting, risk, and analytics — with data contracts, lineage, and quality checks built in, not bolted on.
Outcomes we deliver
- Reconciled, auditable pipelines feeding regulatory and financial reporting
- Real-time data for fraud, risk, and operational decisioning
- A governed lakehouse with lineage, cataloging, and access controls
Capabilities
- Lakehouse & warehouse architecture (Snowflake, Databricks, BigQuery)
- Streaming pipelines (Kafka, Flink, Spark Structured Streaming)
- Data contracts, quality monitoring, and pipeline observability
- Lineage, cataloging, and governance (Unity Catalog, dbt, OpenLineage)
- PII handling, tokenization, and consent-aware data flows
04
AI Agent Architecture & Engineering
Agentic systems that are safe to put in front of regulators, customers, and auditors — with evaluation harnesses, guardrails, human-in-the-loop controls, and full traceability.
Outcomes we deliver
- Agents that automate underwriting, servicing, and operations work with an audit trail
- Retrieval systems grounded in your governed knowledge, with citations
- Model risk documentation and evaluation evidence ready for review
Capabilities
- Agent orchestration, tool use, and workflow design
- Retrieval-augmented generation over governed corpora
- Evaluation harnesses, regression suites, and offline/online testing
- Guardrails, PII redaction, and prompt-injection defense
- Model risk management alignment (SR 11-7), logging, and observability
Not sure which practice you need?
Most engagements start with a short assessment that tells you exactly that. Send us the shape of the problem and we will point you the right way.