Platform Development · Dallas
Dallas's platform engineering partner — the backend, data and infra your product scales on.
We design and build the platform underneath the product: APIs, data, cloud and the reliability work that decides whether you scale or stall. Built for Dallas teams who'd rather ship than re-platform in a year.
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Why Dallas teams call us
The work you can't afford to get wrong.
Dallas–Fort Worth is a corporate-HQ relocation hub — large enterprises modernising stacks and consolidating BI and data platforms.
Our backend was built to get to launch and it's now the thing slowing every release down.
We're going multi-tenant / enterprise and our architecture wasn't designed for it.
Our data is spread across five systems and nobody trusts the numbers in the dashboard.
We're paying per-seat for Tableau / Power BI / Looker and the bill scales worse than our revenue.
We have outages we can't 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 can't tell you something useful in that window, we don't take it on.
Platform & backend architecture
APIs, services and data models designed for where you're going, not where you launched — the structure that lets you add features without adding fragility.
Data platform
One source of truth: pipelines, warehouse/lakehouse and a semantic layer, so the dashboard, the product and finance all agree on the numbers.
Embedded analytics & BI
Replace per-seat Tableau / Power BI / Looker with Apache Superset and ClickHouse, embedded inside your product — the reference architecture we run for our own platforms.
Cloud & DevOps
AWS, GCP or Azure done properly: IaC, CI/CD, environments, secrets and cost guardrails — so deploys are boring and the bill is predictable.
Multi-tenant SaaS
Tenant isolation, row-level security, per-tenant config and the data architecture that lets you sell to enterprise without re-platforming.
Reliability & observability
SLOs, tracing, logging and alerting that tell you what broke and why — before the customer does. Performance and caching that hold up under load.
Why Dallas
In your timezone. Onsite when it counts.
DFW platform work is often enterprise modernisation: relocated corporate HQs consolidating fragmented data and BI, telecom-scale operational data, and logistics networks that need one operational view.
We consolidate data into one trusted source with a semantic layer, replace per-seat Tableau/Power BI with embedded Superset, and modernise the backend incrementally rather than with a risky big-bang rewrite.
What "good" looks like.
We measure ourselves on what your team is doing differently — not on hours billed.
Typical BI licensing reduction when we replace per-seat Tableau / Power BI / Looker with embedded Superset + ClickHouse.
Architecture that lets you sell to enterprise — tenant isolation and row-level security — without a rebuild.
CI/CD, IaC and observability so releases are routine and outages are explainable, not mysteries.
Everything lands in your repo and your cloud account. No black box, no lock-in to us.
How we engage
Three ways to start. All begin with a call.
Engagement
Platform Audit
2-week diagnostic of your architecture, data and reliability — what to fix first, what to retire, what'll break at the next scale step. Fixed scope, fixed fee.
from US$10K
Engagement
Platform Build
6–12 week engagement: re-platform, data platform, embedded analytics or multi-tenant migration, delivered in your repo and infrastructure.
from US$50K
Engagement
Embedded platform team
An embedded platform squad that builds alongside your engineers and hands the keys back. 2–4 days a week, quarterly outcomes.
from US$12K/mo
FAQ
Direct answers to what Dallas teams ask before they book.
Are you based in Dallas?
We're an Australian-headquartered firm and work with Dallas teams remote-first in your timezone, with onsite visits for kickoff and key milestones. We work with teams across Downtown, Legacy West (Plano) and the Telecom Corridor.
How fast can you start?
A 2-week Platform Audit can start the Monday after the scoping call. Larger engagements typically begin 1–2 weeks out, depending on team availability.
Do you work in USD and to US compliance?
Yes — we contract and price in USD. We design for SOC 2, HIPAA where health data is in scope, the NIST AI Risk Management Framework, and state privacy law (CCPA/CPRA). We're an official Vanta partner for the evidence side.
Do you work in our existing stack or impose your own?
Your stack. We meet the codebase, cloud and tools you already run, and we only recommend a change when the cost of staying is clearly higher than the cost of moving.
Can you help with the embedded analytics / Superset piece specifically?
Yes — it's a core competency. We run Apache Superset and ClickHouse embedded inside our own venture-studio products, so the reference architecture is one we operate, not just recommend.
Can you consolidate fragmented enterprise data?
Yes — one source of truth and a semantic layer, so reporting stops meaning reconciling five systems by hand.
Is Superset really cheaper than per-seat BI at enterprise scale?
Yes — Superset scales with infrastructure, not per user, which is a material saving across thousands of enterprise seats.
Do you actually build, or just advise?
Both — and we never advise without being willing to build. If we tell you the answer is Apache Superset, we'll stand it up. If we say hire a senior engineer, we'll write the spec and sit on the panel.
Related
Stop benchmarking. Book a call.
Thirty minutes. No deck. We'll either tell you what to do next, or who you should be talking to instead of us.
Book a 30-min call