Services
Fixed-scope help for teams that want AI on their own hardware.
1. Use-case audit
60–90 min review of your workflow, data, and constraints. Deliverable: written recommendation — build locally, use API, or do nothing.
2. Hardware + cost plan
GPU / CPU / RAM / storage sizing for your models and load. Includes purchase list, power estimates, and 12–24 month TCO vs. hosted APIs.
- Single workstation to small cluster
- Mac, NVIDIA, or CPU-only options
- Offline / air-gapped considerations
3. Local deployment
Install and configure open models, embeddings, and retrieval over your docs. Private chat / API endpoints your team can use.
- Ollama / llama.cpp / vLLM / text-generation-webui as appropriate
- RAG over PDFs, wikis, tickets
- Basic eval + guardrails
4. Handoff + support
Runbooks, update procedure, and backup checklist. Optional follow-up block for tuning.
Not sure which fits?
Send your use-case. We will point you to the smallest useful engagement.
Contact us