Enterprise ai
Enterprise AI That Never Leaves Your Control — Without LLM-Scale Costs
Every query doesn't need a frontier model — and every model doesn't need to see your data. 365 Data Centers routes routine work to lightweight, private models and reserves large-scale reasoning for what actually requires it, so your organization gets governed, cost-predictable AI without the runaway token bill or the compliance exposure.
- Your valuable private data stays in your environment — nothing is ever fed into a public model's training.
- Smart routing sends routine queries to efficient small models, saving large-model calls for genuinely complex work.
- Full policy, access, and audit control tied to your existing enterprise directory.
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Schedule a blueprint overview with our specialized infrastructure engineers to transition models from sandboxes to production realities.
Not every question needs a trillion-parameter answer.
Most enterprise AI platforms send every single request — from "summarize this ticket" to "draft a five-year financial model" — to the same massive, general-purpose model. That's expensive by design, and it means sensitive internal data is making a round trip to infrastructure you don't control every time someone asks a routine question.
A large language model is built for breadth: open-ended reasoning, creative synthesis, and ambiguous, multi-domain problems. A small language model is built for depth on a narrow task: fast, private, and dramatically cheaper to run for the repetitive, well-scoped work that makes up most of a company's actual AI usage. The winning architecture isn't "pick one" — it's routing each request to the smallest model that can handle it well, and reserving large-model horsepower for when it's truly earned.
Want the full breakdown? Read our guide to SLM vs. LLM for enterprise AI.
"We were routing every routine ticket and lookup through a frontier model and paying frontier-model prices for it. Once simple requests started resolving locally and only genuinely complex work escalated to a larger model, our monthly AI spend became predictable for the first time — without anyone noticing a drop in quality."— VP of IT Infrastructure, National Financial Services Firm
The Private Intelligence Platform Core
Instead of loose tool assembly, run a fully unified infrastructure layer where corporate data remains managed, isolated, and optimized at scale.
Private Knowledge Base
LLM Spend Optimizer
Business Intelligence Arrays
Policy & Access Engine
How Smart Routing Works
Every request is evaluated the moment it arrives. Routine, well-scoped work resolves through a lightweight private model in milliseconds. Only genuinely complex, open-ended reasoning ever escalates to a large-scale model — and that decision happens automatically, every time.
Automatic, per-query
No manual model selection. Every request is scored for complexity and routed the instant it arrives.
Cost follows complexity
Simple lookups and repetitive tasks never touch large-model pricing — only real reasoning work does.
Privacy by default
Small models run inside your governed environment, keeping daily queries off third-party LLMs entirely.
The Infrastructure Secrets Behind Predictable AI Costs
Routing decisions are only as good as the hardware underneath them. Our AI-ready data center pipeline supports high-density, liquid-cooled deployments up to 200kW per cabinet — the thermal capacity modern AI workloads demand, whether you're running models on dedicated infrastructure or through our managed environment.
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