SigmaMetrix installs AI-powered operating systems into architecture, engineering, and construction firms — so growth doesn't depend on heroics.
These aren't management failures. They're systems gaps. And they cost you tenders, talent, and margin every quarter.
Every critical proposal, review, and decision flows through the same 2-3 people. Growth stalls at their capacity.
When a senior engineer leaves, years of project intelligence disappear. New hires start from zero.
You score 88/100 on technical merit, then lose to the firm that undercut you by 15%. Sound familiar?
No templates, no playbooks, no compounding. Each proposal is a blank page, each handoff a fresh disaster.
Each track is a standalone module. Install one, install all four. They compound.
Proposal pipeline, pricing intelligence, win/loss analysis. Stop guessing what wins tenders.
Project monitoring, correspondence automation, deadline tracking. From award to close-out.
Institutional memory capture, document intelligence, precedent search. Nothing walks out the door.
Financial visibility, resource planning, reporting cadence. The dashboard your MD actually needs.
No 60-page strategy decks. No workshops that evaporate. We install systems that run — and stay running.
We map your current workflows, bottlenecks, and data flows. No generic audit — we find where the leverage is.
We build and deploy the system into your team. Dashboards, automations, and AI agents — configured to your stack.
Monthly review cycles to tune, extend, and compound. The system gets smarter as your team uses it.

I run a 12-person civil and architectural engineering consultancy in Suriname. Government tenders, infrastructure projects, FIDIC contracts — the full spectrum of AEC complexity.
SigmaMetrix exists because I built these systems for my own firm first. Proposal pipelines, project monitoring dashboards, AI-powered document intelligence — every module started as a solution to a problem I was losing sleep over.
This isn't theory. It's pattern-matched from thousands of hours running an engineering firm, then encoded into systems that other firms can install. If you run an AEC firm and you're tired of growth being bottlenecked by your own capacity — we should talk.
Lessons from installing systems in a real engineering firm. No theory — just patterns that work.
The founder bottleneck is a systems problem, not a hiring problem. Here's the pattern — and the fix.
How we rebuilt our tender process around templates, pricing intelligence, and AI-assisted drafting.
After 6 months of daily use in an active engineering consultancy, here's what AI can and can't do.