Diagnose the gap
Compare desired and observed behavior by language, task, domain, and failure mechanism.
LLM solutions
Model adaptation & fine-tuning
Data and adaptation strategies that improve model behavior for specific languages, domains, and product tasks.
The challenge
More data is not automatically better data. Adaptation can improve a target task while degrading general behavior, safety, or neighboring languages.
We start from the failure pattern and product decision, then select the lightest intervention that can address it—from prompting and retrieval to supervised tuning and preference data.
Language specialists shape the data specification, acceptance criteria, and evaluation throughout the cycle.
How we work
Evidence first. Decisions visible. Knowledge transferred.
We adapt the depth and sequence to your product stage, language scope, and internal team.
Design the intervention
Specify data, sampling, adaptation method, controls, and evaluation for target and regression behavior.
Iterate with evidence
Run controlled experiments, review human feedback, analyze tradeoffs, and package the chosen approach.
Typical outputs
What your team can use.
- Model-gap and intervention analysis
- Language-aware training data specification
- Adaptation experiments and evaluation
- Deployment recommendation and regression suite
Keep exploring
Related llm solutions services.
Bring us the brief
Make model adaptation & fine-tuning move.
Tell us what you are building, which languages matter, and where progress is blocked.
Start the conversation