Core Competency
Custom AI Models, Trained for Your Data
Generic models plateau on domain-specific tasks. We close that gap with fine-tuning pipelines, evaluation harnesses, and models trained specifically on your data and use case.
Capabilities
What's Included
We fine-tune foundation models on your proprietary data and build bespoke machine learning models when an off-the-shelf model isn't precise enough.
LLM Fine-Tuning
Fine-tuning GPT, Claude, and Llama-class models on your proprietary data for tone, accuracy, and domain-specific reasoning.
Custom ML Models
Bespoke models built from scratch for classification, prediction, recommendation, and forecasting tasks that generic LLMs handle poorly.
Evaluation & Benchmarking
Rigorous evaluation harnesses so you know exactly how a model performs before it touches production traffic.
Data Preparation Pipelines
Cleaning, labeling, and structuring the training data that makes or breaks model quality.
Process
How We Deliver This
Data Audit
We assess what training data you have, what's missing, and what needs cleaning or labeling before training starts.
Model Selection
We choose between fine-tuning a foundation model and training a bespoke model based on your accuracy, latency, and cost requirements.
Training & Evaluation
We train, evaluate against held-out data, and iterate until the model clears your accuracy bar.
Deployment & Monitoring
We ship the model behind an API with drift monitoring so performance degradation gets caught early.
Proof
Related Work
AI Model Training
Common Questions
No. Modern fine-tuning techniques can produce meaningful improvements with a few hundred to a few thousand high-quality examples, depending on the task.
Ready to talk AI Model Training?
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