Private LLM PoC · 30 days, fixed price
Prove a private LLM works on your data, in 30 days — before you commit to hardware.
Accuracy and latency measured against your own documents and workload, not a generic benchmark. You get a written recommendation on deployment form, model size, and full-build cost — before spending on a GPU server.
Common situations
"We want a private LLM. We do not want to spend on a GPU server to find out if it actually works."
A Private LLM PoC is for the moment before hardware or a hosting contract gets committed — when the open question is still "does this meet our accuracy bar," and you want an answer on your own data, not a vendor's demo.
A full 8-GPU build runs into six figures, in USD. That is a lot to commit to before anyone has measured accuracy on your own documents.
See the equipment-market reality on the infrastructure service page — this PoC exists so you do not have to spend that first.IT already tried self-hosting an open model. It either fell short of the accuracy people are used to, or needed more VRAM than expected.
Model size and quantization are exactly what the PoC tests against your real workload.Self-hosted, managed, or shared — three ways to run this, and no one internally can say with confidence which is cheapest for your usage pattern.
None of the three wins at every scale. The PoC report says which one, for you.Before → After
What changes in 30 days.
The deliverable is a decision you can act on, not a slide deck about what a private LLM could theoretically do.
- No hardware, and no accuracy numbers measured against your own documents.
- Three deployment forms on paper — self-hosted, managed, shared — with no basis to choose one.
- A GPU market moving fast enough that last quarter's quote may already be stale.
- No estimate for what a full build would actually cost for your specific use case.
- A written report: feasible, conditionally feasible, or not feasible — for your workload specifically.
- Accuracy and latency measured against your own documents and questions.
- A recommended model tier and deployment form, with the reasoning behind each.
- A cost estimate for the full build, and the PoC fee credited toward it if you continue.
Why this PoC, before a hardware quote
The point is a decision you can defend, not a demo.
A private LLM PoC is built to answer one question honestly: does this meet your accuracy and latency bar, on your own material, at a cost that makes sense for your usage.
Tested on infrastructure we already operate
The PoC runs on LLL's own in-house environment. You are not asked to provision a GPU server to find out whether the answer is yes.
Accuracy measured on your own documents
The evaluation set is built from your material and your questions — not a generic public benchmark that may not reflect your domain or your language use.
Deployment form and model size, with reasoning
The report names a specific model tier and deployment form and explains why — including saying so if a private LLM is not the right fit for what you tested.
How it works · 4 weekly phases
Thirty days from kickoff to a written recommendation.
NDA and DPA are signed before any of your documents or data are used in evaluation.
Kickoff & workload definition
Define the use case, the documents and questions the model will be tested against, and what "feasible" means for your accuracy and latency requirements — in writing, before testing starts.
NDA/DPA signed first
Shortlist model & deployment form
Based on the defined workload, shortlist a model tier (starting from the 70B-class default) and provision it on our own operating environment for testing.
No hardware purchase at this stage
Build & test
Connect the shortlisted model to your material (RAG where relevant) and run accuracy tests against your own evaluation set, plus latency and throughput under a representative load.
Results measured, not estimated
Report & recommendation
Written validation report: feasible, conditionally feasible, or not feasible. Recommended model tier and deployment form, plus a cost estimate for the full build.
Full-build fee credited if you continue
What the PoC actually removes
The commitment you are not making yet.
These are the three things a private LLM PoC is designed to remove before you sign anything larger.
Testing runs on infrastructure LLL already operates. You commit to hardware only after the report tells you which form and size actually fit.
The same floor we use in every recommended build — our testing shows a measurable accuracy drop on Japanese-language business tasks below it, so we do not test or ship lower by default.
Self-hosted, managed, and shared — each has a scale where it is cheapest. The report says which one for your workload, not by default.
What you can rely on
Five rules that govern every Private LLM PoC.
Operational rules, not stretch goals — the same on every engagement.
NDA before data
NDA and DPA are signed before any of your documents, data, or questions are used for evaluation — including during the free initial call.
Tested on your own material
Accuracy is checked against your documents and questions, not a generic public benchmark that may not reflect your domain or language use.
FP8 quantization floor
We do not test or recommend below FP8 for business-facing answers. If a use case genuinely does not need it, the report says so — it is not an upsell.
Full credit toward the build
If you continue to a full build, the $6,000 (or $3,000) PoC fee is deducted from that invoice in full. No voucher, no expiry.
Honest no-go
If the workload does not fit a private LLM — accuracy falls short, the economics do not work, a public API is genuinely the better fit — the report says so instead of recommending a build anyway.
FAQ
Five questions before you start.
Specific case not here? Add it to the message field on the form below. We reply within one business day.
What hardware does the PoC actually run on?
Which model size will you test?
Why FP8 and not a smaller quantization?
Does the fee really come off the full build?
Does "private" mean nothing ever leaves our network?
Start a Private LLM PoC
Tell us the workload. Get a free initial assessment.
We reply within 1 business day with a free initial read on feasibility, before you commit to the $6,000 (or $3,000).
- NDA signed before any technical discussion — including the free assessment.
- No hardware purchase required to run the PoC itself.
- If a private LLM is not the right fit, we will say so in the report.
- $6K ($3K ≤50 staff)
- 30 days
- 0 hardware required
- Credit toward full build
Request a free initial assessment
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