Distributed systems
Event-driven, microservice, and multi-node architectures that coordinate across boundaries.
Capability · Software
Designing Advanced Software Systems.
Distributed systems, real-time platforms, high-performance backends, and edge runtimes across platforms. From architecture to production.
01 Capability
We are very passionate about what we build, with twenty-five years of hands-on delivery across industries that do not tolerate shortcuts: energy trading, fintech, IoT at scale, AI development and the infrastructure for distributed intelligent systems.
02 Domains
Real-time data systems
Streaming, event processing, IoT, energy markets — data infrastructure where latency is a constraint.
High-performance architectures
Zero-copy data paths, GPU acceleration, unified-memory compute, and systems-level engineering.
Web, mobile and native apps
Web, server platforms, iOS, macOS and Android — code shipped across all major architectures.
APIs, SDKs and platforms
REST, GraphQL, Streams, SDK design, and platform architecture at startup to enterprise scale.
Software design
Full-stack delivery in TypeScript, Rust, Python, Go, .NET, Java — from prototype through production.
AI/ML infrastructure
Inference serving, retrieval and RAG pipelines, vector pipelines, multi-model orchestration — production AI backbones.
Security and cryptography
Authentication platforms, multi-level encryption, zero-trust proof-of-lineage system design.
DevOps Infra Code
CI/CD, containerisation, infrastructure as code, and production-grade (99.9% SLA) cloud deployments across AWS, GCP, and Azure.
03 Our position
Software engineering is not what it was twelve months ago. AI-assisted development has compressed the time between idea and running code — but it has not compressed the gap between running code and production-grade software. If anything, the gap has widened. It is now faster than ever to build the wrong thing, and the consequences of poor architectural decisions arrive sooner.
We are also watching a deeper shift. The boundary between software, infrastructure, and intelligent systems is dissolving. Applications that were once stateless request-response systems now carry local state, run inference, synchronise across nodes, and coordinate with other intelligent systems.
The firms that will thrive in this environment are the ones that move fast and get the structure right the first time. Software without architecture is prototyping. Architecture without code is consulting. A principal who can see the system-level shape of a problem, from nuts and bolts to system outcomes, formulate the design, and then sit down and write the code or lead the team that does — is what we sell.
The boundary between software, AI, and infrastructure is dissolving. This architectural shift does not yet have its full shape. That is where we operate.
On Emerging Software Architectures of Intelligent Systems
04 In practice
Where this work shows up.
mgraph — engine for complex data types
Solving the collaboration as a primitive. A distributed synchronisation engine for complex data types — graphs, vectors, tensors, streams, documents. Written in Rust. QUIC-native transport. Zero-copy from wire to compute.
AEMO — market settlements engine
Delivered core components of the 5-minute Western Australia energy market system upgrade. Real-time market operations at regulatory precision, where financial correctness and latency are requirements in deliverables.
Fortescue — SCADA telemetry at mining scale
Architected the primary software engine for the IoT big data pipeline on SCADA systems across mining operations. Terabytes of telemetry data from sparsely distributed industrial asset fleet flowing into an analytics platform designed for operational decision-making at scale.
Centrica — real-time energy trading platform
Real-time local energy market (LEM) trading platform for the joint UK–EU energy partnership. Delivered to precise industry standards for advanced market mechanisms and contract settlements.
Tractable — AI orchestration at scale
Architected and delivered an enterprise-wide orchestration platform spanning external clients, internal microservices, data platforms, AI models, ML computation pipeline, and human workflows, including a sentinel encryption service for sensitive data flows.
Nvayo — fintech globally distributed system
Architected and delivered event-driven platform underpinning 80+ ebanking microservices, with real-time in-house payments gateway. Shipped credit-driven cryptocurrency exchange, settlements platform and operations data lake — correctness, auditability, and low latency.
Works with
Other engagement models
01
Engineering & Development
When you need the actual code, delivered individually or as a team.
Read more →02Partnerships & Equity
If you are looking for a co-builder or strategic partnership.
Read more →03Research & Development
When the software would benefit from R&D, under the Australian R&D Tax Incentive.
Read more →Capabilities
01
AI, ML & Neural Architectures
Where the software runs models — intelligent search, recommendation engines, on-device inference.
Read more →02Architecture & Infrastructure
The architecture and infrastructure underneath the software — cloud, edge, data, security.
Read more →03Technology Strategy
When the question is what to build, not how to build it.
Read more →Contact
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