Trusted by teams across Australia, North America and beyond
Sound familiar?
Why Chicago teams call us.
Chicago is trading, logistics and the industrial Midwest — pragmatic buyers who want latency, reliability and a number, not a demo.
Chicago platform problems are operational and latency-sensitive: trading and market-data systems where timing matters, logistics networks ingesting telematics at volume, and manufacturers whose MES and ERP data won't reconcile.
We build low-latency, high-throughput data platforms with real SLOs and observability, plus embedded Superset, so the people on the desk and the floor get trustworthy numbers fast.
Chicago is trading, logistics and industrial Midwest — pragmatic buyers who want latency, reliability and a number, not a demo.
"Our backend was built to reach launch. Now it slows every release down."
"We are moving to enterprise customers and our architecture was never designed for it."
"Our data sits in five systems and nobody trusts the numbers on the dashboard."
"We pay per seat for Tableau, Power BI or Looker and the bill grows faster than revenue."
"We have outages we cannot explain and no real observability to find out why."
What we do
What platform engineering actually covers.
Every engagement starts with a 30-minute call. If we cannot tell you something useful in that window, we do not take the work on.
Platform and backend architecture
APIs, services and data models designed for where you are going, so new features do not add fragility.
Data platform
Pipelines, warehouse and a semantic layer, so the dashboard, the product and finance agree on the numbers.
Embedded analytics
Apache Superset and ClickHouse inside your product in place of per-seat BI. A stack we run ourselves.
Cloud and DevOps
AWS, Google Cloud or Azure done properly: infrastructure as code, CI/CD, secrets and cost guardrails.
Multi-tenant SaaS
Tenant isolation, row-level security and per-tenant configuration, so you can sell to enterprise without a rebuild.
Reliability and observability
SLOs, tracing, logging and alerting that tell you what broke and why, before the customer does.
How we engage
Three ways to start. All begin with a call.
Platform Assessment
A two-week diagnostic of architecture, data and reliability: what to fix first, what to retire, what breaks at the next scale step.
from US$10K
Get a proposalPlatform Build
Six to twelve weeks: re-platform, data platform, embedded analytics or multi-tenant migration, in your repo and cloud.
from US$50K
Get a proposalEmbedded platform team
A platform squad that builds alongside your engineers and hands the keys back. Two to four days a week.
from US$12K/mo
Get a proposalCompliance and data
Built for US rules from day one.
We design for HIPAA where health data is in scope, the NIST AI Risk Management Framework, and state privacy law such as CCPA and CPRA.
We are headquartered in Sydney and work with Chicago teams remote-first, in your timezone, with on-site visits for kickoff and key milestones when needed.
Also in Chicago
Other ways we help Chicago teams.
Questions
What Chicago teams ask.
Straight answers to what Chicago teams ask before they book.
Are you based in Chicago?
We are headquartered in Sydney and work with Chicago teams remote-first, in your timezone, with on-site visits for kickoff and key milestones when needed. We work with teams across the Loop, Fulton Market and the West Loop.
How fast can you start?
A two-week Platform Assessment can start the Monday after the scoping call. Larger engagements usually begin one to two weeks out.
Do you work in USD and to US rules?
Yes. We contract and price in USD. We design for HIPAA where health data is in scope, the NIST AI Risk Management Framework, and state privacy law such as CCPA and CPRA.
Do you work in our existing stack?
Yes. We meet the codebase, cloud and tools you already run, and only recommend a change when staying clearly costs more than moving.
Can you help with embedded analytics specifically?
Yes. We run Apache Superset and ClickHouse embedded inside our own products, so it is an architecture we operate, not just recommend.
Can you handle market-data or low-latency pipelines?
Yes — high-throughput, time-series pipelines on ClickHouse built for latency-sensitive trading and operational data.
Our MES and ERP don't talk — can you fix that?
Yes — we integrate shop-floor, MES and ERP into one real-time operational picture instead of disconnected silos.
Do you actually build, or just advise?
Both, and we never advise without being willing to build. If the answer is Apache Superset, we stand it up. If it is a senior hire, we write the spec and sit on the panel.