- ✓Document Q&A over your knowledge graph
- ✓Email & ticket triage, classification, routing
- ✓Drafting from templates and precedent
- ✓Anything touching regulated or client data
Own the hardware. Flatten the bill.
Cloud AI bills grow with every query. Local AI is an investment: buy the hardware once, run open models on it, and watch cost per query fall toward electricity. Use the calculator to find your breakeven.
800M tokens / mo
Cloud $8/M tokens · Hardware $42k + $700/mo
Saved over 24 months$95k
Cloud 24mo$154k
Local 24mo$59k
THE HYBRID ESTATE
Match each workload to the right model location
We design hybrid estates: high-volume, privacy-sensitive workloads run on your hardware; rare, hardest problems still call a frontier model.
- →Novel multi-step reasoning on unfamiliar problems
- →Long-horizon agentic work with many tools
- →Low-volume tasks unlikely to reach breakeven
- →The harness routes each task to the right model automatically
Hardware sized to the workload
TIER 1
Workstation
from ~$15k
A single GPU workstation. Runs mid-size open models for a team: document Q&A, drafting, triage.
TIER 2
Server
from ~$45k
Rack-mounted multi-GPU inference. Department-scale AI employees with headroom for growth.
TIER 3
Cluster
custom
Multi-node estate for org-wide workloads, fine-tuning and redundancy. Designed with your IT team.
Indicative tiers; we spec against your actual workload during the assessment.
WHAT BREAKS WITHOUT IT
The bill spikes the month adoption succeeds.
A lightly used pilot can hide the cost of metered APIs. When adoption increases, teams may begin rationing queries to control the bill. For stable, high-volume workloads, local inference can replace per-token charges with hardware depreciation, electricity, and support costs while keeping data on site.