MODELSMITH — CUSTOM MODEL ENGINEERING
We start from a best-in-class open model and make it yours — tuned on your domain, distilled to your latency target, quantized to your hardware, and grounded in your data. Then we deliver the weights on your Demirari AI machine. They never touch our cloud, and they’re never shared.
Private weights · engineered per customer
WHY CUSTOM
Generic models guess. Yours knows.
A generic model
- Hallucinates your domain
- Too big to run fast
- Leaks context
- Can't cite your data
A Modelsmith model
- Fluent in your terminology
- Right-sized for real-time
- Grounded in your sources
- Answers with citations
THE PIPELINE
From base model to your model, in six steps.
01
Select base
We benchmark the leading open foundations against your tasks and pick the right starting point — not the biggest one, the right one.
evaluated on your tasks, not public leaderboards
02
Curate data
Your corpus, cleaned, deduplicated, and governed. We build the training set under your data policies, on your side of the firewall.
100% corpus lineage, documented
03
Fine-tune
Domain and instruction tuning teach the model your terminology, your tone, and the tasks you actually run every day.
domain accuracy up to +38 pts vs. base
04
Distill
We compress a large teacher into a fast student that keeps the quality — sized to hit your latency target on your hardware.
teacher 70B → student 8B, ~97% task parity
05
Quantize
FP8 or INT4 precision fits big capability into your memory budget, calibrated so accuracy holds after compression.
70B → runs in 48GB at INT4
06
Evaluate & harden
Accuracy, latency, safety, and bias measured on your tasks — then red-teamed before anything ships.
full eval report, signed off with you
07
Deploy on-prem
Weights ship on your Demirari AI machine, served by DemirOS behind OpenAI-compatible endpoints. Nothing leaves the building.
OpenAI-compatible · air-gap ready
TECHNIQUES
The right tool for your target.
Fine-tuning
Teach the model your domain, tone, and tasks using your curated data.
When: you need domain fluency and reliable behavior.
Discuss this approachDELIVERABLES
You own the result. Outright.
Private model weights
Delivered on your machine, never in our cloud.
Evaluation report
Accuracy, latency, safety, and bias metrics on your tasks.
RAG index + retrieval config
Tuned to your documents.
DemirOS integration
Served via OpenAI-compatible endpoints.
Runbook + retraining plan
How to refresh the model as your data evolves.
Full IP assignment
The tuned weights are yours.
PRIVACY & IP
Your data trains it. You keep it.
Isolated training
Training runs happen on your hardware or an isolated, audited enclave.
Weights stay yours
Weights are delivered to you and deleted from any working environment.
IP in writing
Full IP assignment in writing, with every engagement.
CO-DESIGN
Best results come from designing the model and the machine together.
Tell Modelsmith your latency target and we’ll tell Hardware the memory and bandwidth to build. One spec, one system, zero surprises.
Open the Configurator
DemirOS Model Studio · runs on every Demirari AI machine
FAQ
Asked before every engagement.
The strongest open-weight foundations available at engagement time — selected by benchmarking them on your tasks, not on public leaderboards. We are deliberately model-agnostic: the base is a starting point, not the product.
START YOUR MODEL