Trusted by teams across Australia, North America and beyond
Sound familiar?
Why New York teams call us.
New York platforms have to clear two bars at once: trading and ad-tech volume where milliseconds and end-of-day spikes matter, and an enterprise security review that is often tougher than the build itself.
New York is Wall Street plus the media and ad industry. Buyers measure everything in basis points and expect technology to clear a hard ROI bar.
"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 New York teams remote-first, in your timezone, with on-site visits for kickoff and key milestones when needed.
Also in New York
Other ways we help New York teams.
Questions
What New York teams ask.
Straight answers to what New York teams ask before they book.
Are you based in New York?
We are headquartered in Sydney and work with New York teams remote-first, in your timezone, with on-site visits for kickoff and key milestones when needed. We work with teams across Manhattan, Flatiron District, Hudson Yards and Brooklyn.
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 pass a Wall Street vendor security review?
Yes. Access controls, encryption, logging and US data residency, designed in from the start and documented for procurement.
Can you handle ad-tech or trading volume?
Yes. High-throughput pipelines with ClickHouse for time series at scale, so end-of-day and campaign peaks do not take the platform down.
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.