Model Finetuning

Adapt foundation models to your domain with LoRA, QLoRA, or full finetuning. We handle dataset preparation, training, evaluation, benchmarking, and deployment. turning general-purpose models into specialised tools for your business.

Typical delivery: 3–6 weeks. Fixed price, locked in before work starts.

40%

average improvement in task-specific performance when foundation models are finetuned on domain data versus used out of the box.

— Stanford HAI
Capabilities

From foundation model to your model

LoRA & QLoRA

Parameter-efficient finetuning that adapts foundation models to your domain. at a fraction of the cost and compute of full finetuning.

Full Finetuning

When the task demands it, we run full finetuning with proper infrastructure. distributed training, gradient checkpointing, and mixed precision.

Dataset Preparation

We clean, format, and curate your training data: handling deduplication, quality filtering, prompt formatting, and train/test splits.

Evaluation & Benchmarking

Rigorous evaluation against your metrics. accuracy, latency, cost, safety. We benchmark against baseline models so you see the real improvement.

Safety & Alignment

Finetuned models are tested for regressions, harmful outputs, and bias. with guardrails and filtering applied before deployment.

Deployment & Serving

We deploy your finetuned model with optimised inference. quantisation, batching, and caching for production-grade performance and cost efficiency.

How It Works
01

Assess feasibility

We evaluate whether finetuning is the right approach for your use case. and which technique and base model fit best.

02

Prepare the data

We curate, clean, and format your training dataset. ensuring quality, diversity, and proper prompt/completion structure.

03

Train & evaluate

We run training experiments, evaluate against your benchmarks, and iterate until the model meets your performance targets.

04

Deploy & optimise

Production deployment with optimised inference, monitoring for drift, and a pipeline for future retraining as your data grows.

Next Step

Ready to finetune a model?

Request an audit review. we'll assess your data and show you what finetuning can achieve.

Or email [email protected]