Software development
We build production systems — the platforms, APIs and infrastructure that other things depend on. Most of our work is either the layer underneath a product that already has users, or the replacement for something that has stopped being safe to change.
Custom software development
Backend platforms, internal tooling, automation systems and applications, built to the scale the problem actually has rather than the scale it might reach one day.
Go and Rust are our primary languages, with React or Flutter on the front where a user interface is part of the job. We work on-premises, in the cloud, or in the hybrid arrangement most estates are actually in.
APIs and data integration
The layer everything else hangs off, and the one that is most expensive to get wrong.
- gRPC for service-to-service paths where latency and schema discipline matter
- REST where the consumer is a browser, a partner or a contract you do not control
- GraphQL natively, where a client genuinely needs to shape its own reads
- SOAP where an existing integration requires it — plenty still do
- Kafka or NATS where the data will not sit still long enough to be requested
Cloud and on-premises
Design, migration and replatforming across AWS, Azure, Google Cloud and Oracle Cloud.
Not everything belongs in a cloud, and we will say so. For workloads that stay put we work with VMware, Nutanix, OpenStack and Hyper-V, and with Cisco, Juniper and Palo Alto at the network and security edge.
Platform engineering and DevSecOps
Automated delivery that a team can actually operate: CI/CD pipelines, infrastructure as code, secrets management through Vault, service discovery through Consul, and security checks inside the pipeline rather than in a report issued after release.
Data at scale
ScyllaDB for large distributed workloads, PostgreSQL where relational guarantees earn their cost, MongoDB and Redis where they fit. Schema migrations are versioned and reversible, and a half-applied migration refuses to serve rather than serving something inconsistent.
Observability, included
Every application we deliver ships with Prometheus metrics, Jaeger tracing, Grafana dashboards and Alertmanager routing already wired in — plus the documentation that makes them usable by somebody who was not on the project.
This is not an add-on line item. A system nobody can see inside is a system nobody can fix at three in the morning, and that is the hour it matters.
AI and LLM integration
Model-backed features built like any other production dependency: evaluated before launch, cost-controlled, and with defined behaviour for the day the provider has an outage.
What we ship for ourselves
The same practice produces our own products — a disaster recovery platform that is available now, and NetIDE, a desktop IDE for network engineers, coming soon.