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Inspire AI Lab

Private AI infrastructure

Run AI on your own hardware — not on someone else's bill.

We help organizations stand up private, self-hosted, audit-grade AI infrastructure — with the performance engineering and oversight to make it production-grade.

The Planner runs in your browser — no email, no sign-up. Email-gated only at the report.

How we help

From assessment to production, on your own stack

Most consulting firms hand off a deck. We hand off working infrastructure — sized, deployed, tuned, and monitored.

  • Plan

    Match models to your workload, size the hardware, and model the real spend on-prem vs cloud vs API.

  • Deploy

    Stand up private LLMs on your infrastructure with verified performance, accuracy, and an OpenAI-compatible endpoint.

  • Optimize

    Quantization, continuous batching, KV-cache tuning, speculative decoding — measured, not estimated.

  • Operate

    Monitor latency, throughput, GPU, and cost. Update models and engines, respond to incidents, scale on demand.

Services

Nine ways we work with you

See all services
  • Private AI Assessment

    We evaluate your use case, size the infrastructure, and model the real cost of running AI in-house, then deliver a concrete plan.

  • Private LLM Deployment

    We install and stand up self-hosted language models on your hardware or cloud, configured and verified against your targets.

  • Inference Optimization

    We make deployments faster and cheaper through deep performance engineering.

  • RAG & Knowledge Systems

    We design retrieval pipelines over your own documents and data.

  • Agentic AI Systems

    We build multi-agent and tool-using workflows with oversight built in.

  • Document Intelligence

    We build multilingual, audit-grade document-processing pipelines that run on your own models.

  • Voice & Conversational AI

    We build private voice agents and phone-based workflows.

  • AI Application Development

    We build complete production AI applications end to end, tying the models, retrieval, and pipelines into a deployed product.

  • Managed AI Operations

    We monitor, maintain, and keep your private AI infrastructure healthy and current.

See what running AI in-house would actually cost you

Use the Planner to size a model, the hardware to run it, and the real spend — on your own infrastructure or in the cloud.