Custom LLM & NLP Solutions
Fine-tune, build, and deploy large language models and NLP pipelines (LLaMA, Mistral, Falcon). Secure, efficient, and tailored to your domain.
What we deliver
We deliver production-ready LLM and NLP solutions: from preparing and curating your data to parameter-efficient fine-tuning, evaluation, and secure deployment. Our focus is performance, cost-efficiency, and compliance.
Key features
- Data curation & cleaning
- Parameter-efficient fine-tuning (LoRA / QLoRA)
- Instruction & supervised tuning
- Training → evaluation → deployment pipelines
- API & SDK integrations
Perfect for
- Legal summarization & contract analysis
- Clinical note summarization & medical QA
- Domain-aware customer support automation
- Content moderation & automated tagging
FAQs
Do you train models from scratch?
Yes — for high-value, specialized projects we can design and train models from scratch. For most use cases we recommend efficient fine-tuning of robust base models.
What is LoRA / QLoRA?
LoRA and QLoRA are parameter-efficient tuning techniques that let us adapt large models using far less compute and storage compared to full retraining.
Can models be deployed on-premise?
Absolutely — we support on-prem, hybrid, and cloud deployments depending on compliance, latency, and cost requirements.
How do you monitor model performance?
We integrate AI Ops: continuous metrics, drift detection, alerting, and automated retraining pipelines as part of the delivery.