Post-training data for domain-
specific sovereign models
Good post-training takes good data and expert judgement. Calibrion helps you curate and structure your data, gather expert feedback, and send training-ready datasets directly to the post-training platforms you use.
Bring your data
Upload prompts, responses, documents, or images.
Add your expertise
Your experts edit, review, and rank; quality control keeps what they agree on.
Fine-tune it
Train an open model like Qwen on Together AI or Thinking Machines, then try it on real prompts.
Take your model home
Deploy it, serve it, even sell it. The weights are yours.
Why post-train your own model
66%
of organizations are exploring open models that match closed ones without lock-in
Own it
A model you post-train is yours: the weights, the behaviour, the deployment. No provider can change it, retire it, or price you out of it.
Source: Capgemini, 20251,000
carefully curated examples were enough to shape a model’s behaviour
Behaviour on your terms
Teach the model your policies, your edge cases, and your brand voice, instead of prompting around a generic one.
Source: Meta, LIMA, 20236×
lower cost per turn than GPT-5 mini, from fine-tuned open models in production
Smaller, faster, cheaper
A small model tuned on your niche can do the job of a large general one, at a fraction of the latency and cost.
Source: Decagon on Together AI6–7%
of the human annotation effort reached full human-level alignment, when it went where it mattered
Expert judgement wins
Generic models learn the average of the internet. Targeted judgement from your experts, not more labels, is what makes a model right in your domain.
Source: RLTHF, 2025What about the data side of post-training?
Fine-tuning platforms now handle the training. What still blocks most teams is the data: expert judgement, gathered at scale, checked for agreement, and shaped into the right format. Calibrion handles that part. Your experts edit, review, and rank; consensus keeps what they agree on; clean SFT and preference sets go to your training platform.
Your model: customized, and yours to own.
See the platform in action
Human in the loop
Let an open-weight model of your choice write the first draft, and have your experts review and correct it. Check quality and keep the best portion of this data. Run a data-efficient fine-tuning on the platform of your choice, and test the fine-tuned model directly from Calibrion.
Also in the platform
Match Experts to Tasks
Tag annotators with their expertise and route each task to the people who know the domain, so every vote comes from someone qualified to cast it.
Dataset Creation
Guided upload for complex and multimodal data, built around fine-tuning formats like instruction and preference tuning.
LLM Jury
Several models score every response, and Calibrion combines their scores into a single, reliable verdict.
Quality control
Have every item reviewed by your experts, an LLM jury, or frontier models. Calibrion shows where they agree, and which AI model agrees most with your experts. Remove uncertain items in one click, so you never pay to train on noise.
30%
fewer preference pairs, better results: a curated mix beat the best full public dataset
Source: UltraMix, ICLR 20261%
of the data, chosen well, outperformed training on all of it
Source: MIWV, AAAI 2026
Data Privacy
We prioritize your privacy. Calibrion is designed with strong data protection measures to ensure that your data remains confidential and secure. We do not access or use your datasets in any way; they remain securely on your specified encrypted storage for as long as you choose. We never use, sell, or share your data. By choosing Calibrion, you’re partnering with a company that is committed to protecting the integrity of your data at every step.