LLM
Solutions
Fine-tune, evaluate, and deploy large language models that meet your exact performance, safety, and business requirements.
What We Offer
We build and optimize LLM-powered systems across the full stack, from SFT and RLHF pipelines to production AI assistants and knowledge retrieval systems. Our LLM work is grounded in rigorous evaluation and measurable performance benchmarks.
LLM Fine-Tuning (SFT)
Supervised fine-tuning of open-source LLMs (Mistral, LLaMA, Qwen, Phi) for domain-specific tasks and instruction following.
Prompt Engineering
Systematic prompt design, chain-of-thought optimization, few-shot tuning, and prompt evaluation frameworks.
RLHF
Reinforcement Learning from Human Feedback, preference data collection, reward model training, and PPO/DPO alignment.
LLM Evaluation
Benchmark evaluation, human preference evaluation, safety red-teaming, and custom evaluation harness design.
AI Assistant Workflows
RAG pipelines, knowledge base integration, tool use, function calling, and multi-turn conversation systems.
Safe and Aligned AI
Constitutional AI, safety filtering, toxicity reduction, and responsible deployment of LLM-powered products.
Real-World Applications
Domain-Specific Chatbots
Fine-tuned LLMs that understand your industry terminology, workflows, and customer needs.
Code Generation
Custom code assistant models trained on your codebase, coding standards, and preferred libraries.
Document Summarization
Legal, financial, and medical document summarization with domain-appropriate accuracy and style.
Knowledge Management
RAG systems over internal documents, wikis, and databases for accurate, cited AI responses.
Content Generation
Brand-aligned content models for marketing copy, product descriptions, and creative writing at scale.
Data Extraction
Structured information extraction from unstructured text using LLMs as flexible parsing engines.
Ready to Build Your LLM Pipeline?
Tell us your LLM use case and we'll design a fine-tuning plan with clear performance targets and timelines.