Two focused service lines. Built for regulated industries where failure isn't an option.
We build AI into workflows, pipelines, and platforms that already run under constraint — LLM orchestration, RAG, and ML where it actually holds up in production.
Multi-model pipelines, retrieval-augmented generation, prompt engineering for production workloads.
Classification, prediction, and automation embedded into live systems under real constraints.
Using AI to compress delivery timelines without compromising quality or compliance.
The pipelines, lakes, and APIs that feed production AI systems.
We build and rebuild the systems AI runs inside — banking, trading, healthcare, payments — where compliance and uptime are constraints, not features.
Migrating monolithic systems to microservices without breaking production.
APRA, ADHA, ASX, PCI DSS — built in from the start, not bolted on.
Multi-cloud architecture, CI/CD pipelines, and infrastructure that scales.
Event-driven APIs, FIX protocol, legacy system integration.
APRA, ASX, FIX protocol. Core banking, trading platforms, loan origination.
ADHA, Schedule 8. E-prescribing, practice management, federal conformance testing.
Large-scale consumer platforms, PCI DSS payment infrastructure, AI-accelerated delivery pipelines.
API-driven data architecture, regulatory ingestion, compliance-grade systems.
We define the technical reality of your current stack and design the target architecture.
Our engineering teams embed with yours to build the production system.
We provide managed operations or hand over a system that is fully documented.
"Our first conversation is about your data gravity, your compliance constraints, and your production bottlenecks. We start where the work is hardest."
We assess, architect, build, and deploy. In your environment. Against your constraints. Tell us what you're trying to build.