Large (and Small) Language Models
The power of LLMs, connected to your actual data — without sending that data to a third party.
Our team integrates large or small language models into your proprietary systems using fine-tuning, RAG, and LoRA adapters — keeping your data in-house while enabling advanced language capabilities for content creation, recommendations, conversational AI, and automated intelligence pipelines. We also handle the testing and production operations that most LLM projects skip.
Fine-Tuning, LoRA & RAG
Privatized LLM applications that keep your data in-house — using fine-tuning or retrieval-augmented generation to ground models in your specific knowledge base.
Testing & Evaluation Frameworks
Rigorous testing frameworks to measure model performance and accuracy before going to production — including regression suites and faithfulness scoring.
LLM Ops & Deployment
End-to-end operations for deploying and managing your models in production, including monitoring, cost tracking, and drift detection.
Vector Databases & Pipelines
Architecture design for the data infrastructure that powers RAG applications — from embedding pipelines to retrieval optimization.
Related Work
View all case studies →AI-Powered Newsletter Automation
US Home Health Care Technology
80–90% reduction in time spent producing each newsletter — using NLP and content curation to run the full pipeline automatically.
Competitive Product Review Intelligence
Global Technology Manufacturing
Automated sentiment analysis at scale replaced manual review reading entirely, delivering consistent competitive insight.
Industries we serve with this capability
In healthcare, an LLM-powered content pipeline reduced newsletter production time by 80–90%. In manufacturing, automated LLM-driven analysis eliminated a labor-intensive weekly competitive review process entirely.
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