Thirty years of infrastructure experience. Fifteen years of software engineering. Production AI since 2023. Each step added to the way we understand, build and operate systems today.
Explore the erasNew capabilities, with the earlier experience still in use.
Our work spans these six disciplines. The earlier layers remain part of the systems we build and support.
The engineering experience behind Toltec.
Server rooms, physical networks and Novell-to-NT migrations taught us to follow dependencies before changing a system. That habit still guides an estate review or migration: find what relies on the platform, then plan the work around it.
Shared platforms made identity and isolation central to the design. The same questions now apply to an application or an agent: who is acting, what can they reach, and where is the boundary? Our security engineering follows that path.
Cloud brought more choices about where systems run and who operates them. We still weigh those choices against the workload: capacity, cost, recovery and ownership. Cloud, hybrid and on-premises designs each have a place.
Building applications and APIs brought the business rules into view. Infrastructure experience helped us understand what the software needed to run. Today we use both in software delivery and integration, including changes to established applications.
Repeatable configuration and controlled releases made changes easier to inspect and recover. That discipline carries into our engineering standards: test the important behaviour, record the change and prepare the route back before release.
Since 2023, production AI has added retrieval, agents and model integration to the work. The surrounding questions remain familiar: connect the data, limit the authority, check the outcome and make recovery practical.
That accumulated experience is useful in application modernisation: understand the old system, capture the behaviour people rely on and move it forward in tested stages.
The platforms change.
The experience stays useful.
