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Custom Software · with Hardware & Instrumentation, IT & Managed Services, CybersecurityOnshore engineering for operationsTexas, United States

Custom software,
engineered in America.

We build and secure the operational systems companies actually run on: the layer above the control network and beside the ERP that neither your controls integrator nor your ERP partner will own. Scoped and priced against your budget and your requirements, agreed before anything starts.

Start
A scoping call, then a fixed-fee discovery
Estimate
Scoped to your budget and requirements
Ownership
Agreed in the engagement agreement, before work starts
Exit
30 days’ notice after first release
  • TypeScript
  • React
  • Next.js
  • Python
  • Go
  • .NET
  • PostgreSQL
  • Kafka
  • Terraform
  • Kubernetes
  • AWS
  • Azure
  • Snowflake
  • dbt
  • React Native
  • FHIR
  • EDI X12
  • OpenTelemetry

What we’re for

Every specialist has a ceiling. The MSP stops at the firewall, the controls integrator stops at the panel, the ERP partner stops at the data model, and the problem that crosses all three belongs to nobody.

We started this firm because we had been the customer holding a folder of vendor contracts and one problem none of them owned. Four divisions inside one company is the answer to that: software, hardware, IT and security are separate practices with separate people, and the seam between them is somebody’s job here.

  • Senior people, small teams

    The people who sell the engagement are the people who deliver it. There is no bait-and-switch to a junior bench, because we don’t have one, and no account manager sitting between you and whoever is writing the code.

  • Onshore, one time zone

    Every engineer is US-based. No overnight hand-off, no requirement that ambiguity be resolved in writing before anyone can start, no eleven-hour round trip on a question that takes ninety seconds to answer.

  • Ship weekly, from week one

    Working software in a real environment every week is the only honest status report. Anything else measures activity rather than progress.

Capabilities

Nine disciplines, one delivery team.

Most engagements draw on three or four of these at once. They’re listed separately because the work is distinct, not because you have to choose one.

Engineering practice

Depth you can interrogate, not adjectives.

Nobody hires us to build a compiler or a consensus store. They hire us to build the systems that turn out to be those things with the name filed off, and we would rather be tested on that early than trusted on a brochure.

docs/adr/0014-dual-run-the-pricing-engine.mddecision record
Status    accepted 2026-03-04, supersedes ADR-0009Context   Legacy pricing is 140k lines of stored          procedures, no test suite, four known-wrong          edge cases the business depends on.Decision  Run both engines on every request for two          billing cycles. Legacy stays authoritative,          ours is shadow-scored and diffed nightly.Cut over  Nightly diff empty for ten cycles running.Cost      About 6% added write-path latency until          then. Accepted.Rejected  Big-bang cutover behind a flag. The flag was          never the risk. The absence of a comparison          was.
Written the day the decision was made, in the repository, alongside the change it explains. Every engagement produces these, and the line that matters is the one recording what it cost, because a decision record with no cost on it is a press release.
  • Distributed state

  • Compilers and language tooling

  • Operational technology security

  • Vulnerability research

  • Applied machine learning

  • Embedded and hardware interfaces

  • Concurrency

  • Geometry and optimization

Insights

What we’ve learned, written down.

No gated PDFs, no thought-leadership. These are the arguments we end up making in real client meetings.

How it works

Five phases. You can stop after any of them.

Every phase has a defined exit, and the exit is always yours to take. That constraint is what keeps the work honest.

  1. Phase 1

    First call

    45 minutes · no charge

    One conversation to work out whether this is a problem we should be working on together.

  2. Phase 2

    Discovery

    1–4 weeks · fixed fee

    Paid, fixed-scope, and it ends in a plan you could hand to another firm, plus working code proving the riskiest assumption.

  3. Phase 3

    First release

    1–8 weeks

    A small senior team puts something real into use: a production system, a pilot running on the floor, or a finding you can reproduce.

  4. Phase 4

    Iterate & scale

    Ongoing, by agreement

    The system grows against evidence from production rather than against a plan written before anyone used it.

  5. Phase 5

    Maintenance & support

    Ongoing, for as long as you want it

    We keep the system healthy after launch, and your team can take it over whenever you’d rather run it yourselves.

Next step

Tell us what’s breaking.

Forty-five minutes, no charge, no deck. We’ll tell you what we’d do, what it would likely cost, and whether what you already have can be made to work.