LLM Development & Engineering Services
Custom Large Language Model (LLM) development, enterprise RAG LLM pipelines, fine-tuning, local LLM deployments, and autonomous AI agents.
What this covers
- RAG LLM Pipelines with Vector Databases (Pinecone, Qdrant, Milvus)
- Local LLM & Small Language Model Deployment (Ollama, vLLM, LM Studio)
- Enterprise LLMs AI & AI LLMs Orchestration
- Fine-Tuning LLMs (LoRA, QLoRA, Full Parameter Tuning)
- LLM Evaluation & Benchmark Testing (MMLU, HumanEval, MT-Bench)
- Advanced Prompt Engineering & Prompt Injection Defense
- Autonomous Multi-Agent Systems & Tool-Calling Architectures
What we build on
Model choice is a dependency, not an identity. We keep the provider swappable and evaluate before switching.
- Claude
- GPT
- Gemini
- Llama
- Whisper
- Embeddings
- Vector search
- RAG
- Function calling
- Evals
Where this is heading
The industry is rapidly advancing from reliance on closed proprietary APIs (ChatGPT, Claude AI, Gemini AI) toward private, domain-specific open-source LLMs and small language models (Mistral AI, DeepSeek, Llama). We build secure, air-gapped retrieval layers and evaluation suites that keep enterprise IP safe while lowering inference costs.