We focus on three disciplines, deliberately — and all of them sit on top of the CTRM platform you already run. We don't replace it. Power, Natural Gas, and Renewables are where we go deepest, with Crude and refined products covered by the same engineering rigor, across North American markets.
Your trading and risk platform does most of what you need. We build the rest — the extensions, interfaces, screens, calculations, and reports that match how your desk actually operates, sitting cleanly on top of your system of record, whatever CTRM platform you run.
Custom extensions, deal templates, workflows, and calculations tailored to your products, book structure, and methodology.
Interfaces and services that move trades, schedules, and settlement data between your CTRM and the systems around it.
Custom screens and forms (Infragistics) and connected-Excel tools that fit how traders and operations actually work.
Complex operational and risk reports in SSRS and Crystal Reports, built to your methodology and audit requirements.
A CTRM system is only as good as what flows into and out of it. We build the connections across your landscape so data moves cleanly, on time, and without the manual handoffs that introduce risk every morning.
Curves, fixings, fundamentals, and static data pulled from your providers and normalized into your environment.
Links to exchanges, ISOs/RTOs, brokers, and schedulers — trade, schedule, and settlement data wired end to end.
Clean, documented interfaces so your other systems — and your counterparties — can talk to your CTRM safely.
Reliable feeds into settlement, accounting, BI, and the data warehouse, with monitoring so you know when something breaks.
This is our edge. We embed AI into the day-to-day delivery of technical solutions — using custom agents and frontier LLMs, primarily Claude, to take a requirement from ticket to tested solution faster, with full human oversight throughout.
AI agents convert Jira tickets into Confluence design documents, streamlining the requirements-to-delivery pipeline.
Draft solutions generated from design documents, reducing initial development effort while a developer stays in control.
Custom MCP tools and Roslyn-based call-stack indexing let agents query databases, run Python and PowerShell, search and edit code, and manage GitLab branches.
Secondary review agents and AI-driven unit and regression testing catch issues before release.
We sit with your desk and your data to learn how the work really happens before proposing anything.
A clear plan: what we'll build, how it connects, where AI fits, and what success looks like.
Iterative delivery accelerated by our AI pipeline, with you seeing working software early and often.
Documentation, knowledge transfer, and support, so your team owns what we built.
Tell us the problem. We'll tell you honestly whether we're the right team for it.