Local AI inference

Open-source inference on your infrastructure, on-prem or private cloud. You control data, access, and uptime.

How it works

First conversation through production monitoring. Your team uses AI without fighting quotas or lock-in.

01
Consultation & assessment
Use case, data rules, compliance, and existing hardware or cloud. We map the shortest path to production.
02
Architecture & security
Isolated setup with access controls, encryption, network segmentation, and logging.
03
Model selection & optimization
Open-source models for your workload. Tuned for latency and cost with quantization, caching, and GPUs when useful.
04
Deployment
Inference on-prem or in your private cloud, with monitoring and health checks.
05
Operations & control
Auth, RBAC, backups, and a dashboard for usage and performance. You decide who accesses what.

Run when you need it: Inference on your infrastructure. No external API quotas deciding the schedule.
Keep data and models yours: You own the models, prompts, and data path under your policies.
Predictable cost: Infrastructure spend you can plan. Not per-token bills that spike with usage.
Security that fits you: Controls for your threat model and compliance. Not a public API default.

Want strategy before you deploy? Book consultation. Need app or API work around the stack? Web development.

Share workloads, compliance needs, and hardware.