Custom AI Models & Workflows

Models Fine-Tuned for Your Domain

Generic models don't understand your domain. We fine-tune language and vision models on your data and connect them into automated workflows that run continuously, accuracy at the core.

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What We Build

Model Fine-Tuning

LoRA, QLoRA, and full fine-tuning on Llama, Mistral, Phi, Falcon, and other open-source models. Adapt commercial models via RLHF-style techniques where applicable.

Training Dataset Curation

We help collect, clean, and format your domain-specific training data — from raw documents to structured instruction-following datasets.

Multi-Step AI Workflows

Chain models, tools, and data sources into intelligent pipelines. Input enters, decisions and outputs flow automatically through your business logic.

Model Evaluation & Benchmarking

Systematic evaluation pipelines to compare model versions, track accuracy over time, and catch regressions before they reach production.

Continuous Retraining Pipelines

Automate retraining when your data grows or model performance degrades. Keeps accuracy high without manual intervention.

Private On-Premise Deployment

Self-host your fine-tuned model on your own GPU infrastructure. Full data privacy — your model, your servers, your data.

What This Enables

Medical Document Classification Legal Contract Analysis Financial Sentiment Analysis Domain-Specific Chatbots Product Code Generation Industry NER Extraction Automated Decision Systems Proprietary Code Copilots

Technologies

HuggingFace
PyTorch
LoRA / QLoRA
Unsloth
LangChain
Prefect / Airflow
MLflow
Ollama / vLLM

Featured Project

Legal & Compliance

Commercial Lease Clause Risk Classifier

Fine-tuned DeBERTa model classifying 22 risk categories from EU commercial leases, surpassing GPT-4 baseline on the client's held-out test set.

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Ready to Train Your Own Model?

Share your domain, dataset, and goal. We will recommend the best fine-tuning approach and give you a realistic assessment.

Talk to an AI Engineer