Services / Control your AI
Frontier Independence
Use leading AI models without depending on a single provider.
Frontier models from the major AI labs are highly capable, and their providers change pricing, terms, rate limits and model behavior on their own schedules.
If an outage or policy change at one provider would stop your operations, that dependency is a business risk. We design a provider-neutral architecture with a tested fallback, which often lowers costs as well.
What’s included
Dependency audit
Every place your systems call an AI provider, what it costs, and what fails if it stops.
Provider-neutral layer
A single interface for your applications, so changing models does not require a rewrite.
Model routing
Routine requests go to lower-cost or local models, and complex requests go to frontier models.
Evaluation suite
Tests built from your own tasks to measure any model change before it reaches production.
Terms review
Data retention, training use, rate limits and exit terms, summarized for decision-makers.
Tested fallback
A failover plan that has been run end to end.
What you receive
Predictable AI costs and a tested fallback, with continued access to frontier models.
Run AI on your own hardware
Hardware we deploy
- NVIDIA DGX StationGB300 superchip, up to 748 GB
- NVIDIA DGX SparkUp to 1 PFLOP FP4, 128 GB memory
- NVIDIA HGX Rubin8 Rubin GPUs with HBM4
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Other services
Tell us about your AI priorities and concerns. We’ll respond with a plan and a quote.
Build your plan