About · Is this real?
Operator and engineer, the same person.
Most enterprise AI is built by people who have never carried a P&L. Our founder has run the operations we now build software for. That is the whole point.
The story
Proof over adjectives.
We design and ship production data systems end to end, and have done it repeatedly across multiple organizations. Our work spans big data engineering, data science, data management, and information systems, with AI added where it earns its place: agentic systems, workflow automation, and custom operating systems wired directly into how a business runs. We work fluently across the platforms enterprises actually use, from Monday and Slack to Azure and the wider Microsoft stack, Codex, and ChatGPT, and we build on heavy duty big data infrastructure like BigQuery when the scale demands it. That delivery rests on our founder's more than a decade of building, funding, and operating businesses across many sites, so the systems we architect map to how operations, supply chain, and production really run.
Where you are
A decade inside real operations: plants, P&L, multi site complexity, and the messy legacy systems that actually run a business. Our founder knows where the bodies are buried, having dug some of the graves.
Where you are going
Production AI systems owned end to end: data platforms, agentic orchestration, retrieval, and governance, built to scale and to standard, source controlled and testable.
$5.8M to $13.6M
Operational turnaround
12+ sites
P&L ownership
$2B
Acquisition an operation was central to
10+ years
Building, funding & operating
The evidence is in the work. Start there.