AI + engineering services
Model serving, access and monitoring on hardware you control
Once the hardware is chosen, someone has to turn it into a service people can rely on. We install and configure the model-serving stack on your servers or workstations, whether you already own GPUs or are buying a compact AI system. Models are available through an internal endpoint with sign-in, per-team permissions and rate limits, so one heavy job cannot slow everyone else to a crawl. We connect your applications, document pipelines and assistants to it. Monitoring covers GPU memory, queue length, response times and errors, with alerts sent to a named person. We also set up updates, model version pinning and backups of configuration and indexes. A written recovery procedure covers a failed disk, a bad driver update or a model that starts answering differently. Hardware purchase and ongoing support are agreed separately.
Start with your workflow. We agree the first deliverable, data boundaries, scope and budget before work begins.
What we can deliver
What your team receives.
- Hardware and software compatibility check for the selected stack
- Installed serving stack with an internal endpoint, sign-in and rate limits
- Integration with your applications, document pipelines and assistants
- Monitoring of GPU memory, queues, latency and errors, with alerts
- Runbook for updates, version pinning, backup and recovery
Illustrative project example
Local AI infrastructure
A design studio has bought an ARM-based desktop AI system and wants its 25 staff to use a local model for drafting and image captioning. We confirm that the runtime builds and model formats are compatible with ARM64 and set up an internal endpoint behind the company sign-in. Long jobs are capped so daytime chat stays responsive. A dashboard shows memory use and queue length, and a pinned model version prevents surprise changes.
The final design follows your systems, documents and operating requirements.
Keep your team in control.
Data protection
Map approved data sources, access rules, retention and provider use before connecting AI to company information.
EU infrastructure options
Scope EU servers or self-hosting and disclose the processing location of model APIs, logs and backups.
Human approval
Agree where AI may suggest, where it may act and where a person must approve the next step.
Can we start small?
Yes. Start with one workflow, one team and an agreed outcome. We scope the pilot after learning about your data, systems and constraints.
Can our data stay in the EU?
We can scope EU-hosted or self-hosted options. The proposal identifies where each component processes and stores data, which providers are involved, and any transfer or remote-access implications. EU hosting alone does not establish compliance.
Can we use the tools we already have?
We start with your current workflow and systems. The proposal identifies the integrations, data access and handoffs needed for a useful first deliverable.