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Integration · Shipping · Process · Security

Production-ready AI work, shown step by step.

Thirty years of enterprise systems, now built with AI agents across several model providers. Every plan is challenged, every change is reviewed, and the build log is public.

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Years building enterprise software

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Code review reports on file

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AI skills and agents in daily use

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Build logs published since January

The build log

34 logs since January. What changed, what broke and what is still open, week by week.

  1. Build log: CopernicIQ on the Spark
  2. Build log: the own gates
  3. Build log: the test hub
  4. Build log: the week of October 12
  5. Build log: the code reviewer
All build logs
workflow-contract.md, Apr 20
for attempt in 1..3:
    artifacts = collect_emitted_artifacts()
    missing = []
    malformed = []
    for required in contract:
        if not artifacts.has(required.path):
            missing.append(required)
        elif not required.validate(artifacts[required.path]):
            malformed.append(required)
    if missing == [] and malformed == []:
        return PhaseResult(status=OK, attempt=attempt)
    if attempt < 3:
        for src in this_phase.data_sources:
            src.refresh(no_cache=True)  # bypass any cache
        continue
return PhaseResult(status=DEGRADED, missing=missing, malformed=malformed, attempts=3)

From Build log: the morning stack. Check what came back. Retry without the cache. After three tries, say DEGRADED.

Work That Speaks for Itself

AI Code Review, Built Into How We Ship

Every change is challenged, simplified and independently reviewed with a 4-scanner security pass, as many times as it takes to be approved. 300+ reviews on our own code.

Multi-model reviewGitHubSnyk SASTGitleaks
Read the Case Study

JITI Dashboard: Manufacturing Inventory Intelligence

12-month forward projections with CNY blocking detection, container logistics calculation, and AI-generated ordering recommendations in supplier-ready REC CAPS format.

.NET 8Clean ArchitectureEF CoreMulti-provider AI
Read the Case Study

Enterprise Mailing & Postal Compliance

Unified mailing and multi-carrier shipping platform. CASS/NCOA postal compliance, presort optimization, rate shopping across 10 carriers, HIPAA-compliant audit trails.

.NET 8Blazor ServerAccuZIPHIPAA
Read the Case Study

Why Data & Business Solutions

We Were Building Software Before IDEs Were Accepted

We've been in the trenches for 30 years. When we started, "real developers" wrote HTML in Notepad and gave you a hard time for using an IDE. Each wave of tooling, the gatekeepers resisted, and the practitioners adapted. Now AI coding tools are used by over half of all developers daily, and the MCP ecosystem has exploded to 10,000+ integration servers. We don't just observe this shift, we build production systems inside it.

“AI without that foundation is just fancy autocomplete. AI with that foundation is transformative.”

Practitioners, Not Just Advisors

We don't hand you a strategy deck and disappear. We write the code. We architect the systems. We debug the 3 AM production issues. When we recommend an approach, it's because we've shipped it, across 49 projects and enterprise systems running daily commerce for national brands.

We Build, Not Just PowerPoint

We test new patterns on our own builds before they touch a client system. SocialSync and PantryIQ were designed and built by us, with the same architecture and review standards we bring to client work.

We Close the ROI Gap Others Create

The AI industry has a dirty secret: 78% of organizations have adopted AI, but only 39% report meaningful business impact. The problem isn't the models, it's treating AI as a software layer on top of old workflows instead of re-engineering for it. We bring the process redesign, architecture depth, and token cost engineering that turns AI experiments into production ROI.

Ready to Build Something That Actually Works?

You've read the decks. You've seen the demos. Now talk to someone who's shipped enterprise systems for 30 years and knows exactly where AI fits, and where it doesn't.

No pitch decks. No sales scripts. Just a senior engineer who listens.