R&D and Analytics
Research & Data Teams.Experiments you can rerun, not a folder of notebooks.
Fine-tune and evaluate open-weights models against your own benchmarks from the Python SDK, so every run lives in version control and every checkpoint is exportable. Built for teams that have to defend a result, not just demo one.
- Every run is a script you keepCode
- Model in the hubAny
- Weights and logs are always yoursExport
The problem
Research velocity dies in untracked notebooks and vanished checkpoints. Closed APIs make results unreproducible by construction — you cannot pin a model version you do not control.
How Langtrain helps
Purpose-built for R&D and Analytics.
Runs In Version Control
Each run is a script: the dataset, seed and settings sit in your repository next to the analysis, so a result from six months ago can be rerun.
Custom Benchmarks
Define task-specific evals that matter to your work and run them automatically against every checkpoint.
No Vendor Lock-In
Open weights, standard formats. Standard Hugging Face weights that llama.cpp, vLLM and other open-source tools can run anywhere.
SDK-First
Everything in the UI is available from the Python SDK, so experiments live in version control alongside your analysis.
Applications
What teams actually build.
- 01
Ablation Studies
Vary one component at a time from the same script and compare the runs on one benchmark, not twelve notebooks with inconsistent metrics.
- 02
Domain Benchmark Suites
Encode the evaluation your field actually cares about and gate checkpoint promotion on it.
- 03
Paper Reproduction
Pin a base model by hash, rerun a published recipe on your own data, and record exactly where results diverge.
- 04
Internal Model Cards
Write the model card from the run's script and eval results, so downstream teams inherit the caveats, not just the weights.
Check it first
Don't take our word for it. Test it on your own cases.
- 01
Hold back real cases
Keep 50 to 100 real examples out of the training data, with the answers you would accept.
- 02
Ask both models
Put the same questions to the base model and to your fine-tune, and read the answers side by side.
- 03
Have an expert review
Before anything ships, a second researcher checks the answers and decides whether it is good enough.
How to run it: the quick start
No certifications yet: we have not completed a SOC 2 or ISO 27001 audit. For regulated data, train in your own environment.
Ready for R&D and Analytics?Start with your own data.
Talk to us, or start fine-tuning on the free plan.