OBJ-01Early access
Model endpoints
Open-weight models behind an OpenAI-compatible API, including IBM Granite fine-tuned for regulated industries and Arabic. Every model's licence is checked for commercial use.
Your models.
Your data.
Your cloud.
HYBT runs open-weight models, including IBM Granite, in a private cloud. You get an OpenAI-compatible API, fine-tuning on your own data, and a budget that stops spending when it should.
APIOpenAIcompatible endpoints
Fine-tuningLoRA·QLoRAon your own data
Compute tiers04RTX 4000 Ada → H200 / B200
Reply time≤ 2 daysbusiness days, by a person
01 / Platform
One workspace from model to governed API.
Everything a team needs to run open models in production, with the controls regulated organisations ask for.
OBJ-02Early access
Fine-tuning workspace
JupyterLab with LoRA and QLoRA templates, your dataset, an evaluation set, and adapter export.
OBJ-03Early access
Document assistant
A ready template that answers questions over your own documents, with an evaluation set to check the answers.
OBJ-04Early access
Keys and budgets
API keys per team, spending limits, automatic stop at the limit, and a usage log.
OBJ-05Pilot
Sovereign Bridge
For regulated clients: policy-controlled access to approved cloud services, minimised payloads, and an audit trail.
OBJ-06Early access
Architecture help
Advice on the model and the compute for your workload, from the engineers who run these workloads.
02 / Pipeline
From open weights to production in five steps.
Each step leaves a record you can check: which model, which data, which evaluation, which budget.
01
Select
Pick an open-weight model. We check its licence for commercial use.
02
Fine-tune
LoRA or QLoRA on your dataset, inside your workspace.
03
Evaluate
Score the model on your own evaluation set before release.
04
Serve
Deploy behind an OpenAI-compatible endpoint with team keys.
05
Govern
Budgets stop spending at the limit. Every call is logged.
03 / Registry
What is available today.
The current state of each component during early access. Documentation is sent on request.
| Component | Status | Interface | Details | Docs |
|---|---|---|---|---|
| Model endpoints | Early access | REST · OpenAI-compatible | Open-weight models incl. IBM Granite | Request → |
| Fine-tuning workspace | Early access | JupyterLab | LoRA, QLoRA, adapter export | Request → |
| Document assistant | Early access | Web app · API | Answers over your documents, with evaluation set | Request → |
| Keys and budgets | Early access | Console · API | Per-team keys, limits, auto-stop, usage log | Request → |
| Sovereign Bridge | Pilot | Policy gateway | Approved services, minimised payloads, audit trail | Join pilot → |
04 / Built with IBM
Granite models, tuned for your sector.
HYBT Technologies is a member of IBM Partner Plus.
IBM-01
Fine-tuned for your sector
We fine-tune IBM Granite models for finance, healthcare and government, with Arabic language support and EU AI Act–ready documentation.
IBM-02
From our catalog to watsonx
We are building our fine-tuning and inference pipeline on IBM Cloud, so enterprise clients can take our models into IBM watsonx in their own environment.
$ hybt deploy granite --api openai --budget daily model open-weight · IBM Granite compute working · 96 GB api OpenAI-compatible budget daily limit · stops at the limit idle released when unused data stays in your workspace ✓ endpoint ready $
05 / Compute
Compute sized to the model.
We match the hardware to the model and workload you choose.
Tier 1
Small
RTX 4000 Ada, A6000 and 4090 class. Models up to about 13B parameters, light fine-tuning, and development.
Tier 2
Working
RTX PRO 6000 with 96 GB of memory. Large open models in 4-bit and fine-tuning.
Tier 3
Large
A100 and H100. Heavier fine-tuning and high-throughput serving.
Tier 4
On request
H200 and B200.
Capacity is provided through infrastructure partners. Availability and pricing are confirmed per request during early access. Ask for pricing →
06 / Contact
Tell us what you want to run.
The form opens your email app with the message ready to send. Nothing is stored by this site. We reply within two business days.
Write to us directly
dev@hybt.ai