Real systems, real production numbers
A close look at platforms we designed, built and run: the architecture calls, the trade-offs, and the numbers they produce in production.
- Production systems
- Metrics, not marketing
- Full-stack builds
The numbers behind these builds
How we build, in detail
Each study covers the challenge, the architecture we chose and the measured results of the shipped system.
High-Throughput Data Enrichment Pipeline for 12M+ Records
Internal ProjectWe had millions of raw domain records and needed to turn them into enriched, scored business profiles. That meant steady throughput, clean recovery from failures mid-run, AI industry classification across thousands of categories, and a database that could hold 21GB of structured data without slowing down.
Enterprise CRM Platform With 40+ Data Models and Event-Driven Workflows
Internal ProjectThe goal was a full CRM we could run ourselves, without renting Salesforce or HubSpot. It needed multi-tenancy, data that connected contacts, leads, deals and accounts, workflow automation that reacted in real time, and AI email built in.
CutMaster, an Industrial Machine Management Dashboard
Demo productThe dashboard had to manage 13 types of industrial machine across their whole lifecycle: job scheduling, preventive maintenance, customer records, service tickets, spare parts and reporting. The UI had to stay clean and work on any screen size.
Email Campaign Engine Sending 50K Messages a Day
Internal ProjectWe needed an email system that could write, send at scale, track what got delivered, and read the replies. It had to rotate senders across domains, throttle itself to protect deliverability, and sort replies with AI so hot leads surfaced on their own.
Ready to be the next case study?
Bring us the problem and we'll bring the architecture, the build and the production numbers.