AI → LLM Development

LLM Development

Large language model applications built for production — RAG pipelines, fine-tuning, semantic search, and private deployments on the model that fits your data and budget.

GPT-4ClaudeLlamaMistralRAGVector DBFine-tuningLangChain

LLM Applications

Ship production apps powered by large language models.

Custom LLM Apps

End-to-end apps built on GPT-4, Claude, Llama, or Mistral.

RAG Pipelines

Retrieval-augmented generation grounded in your data.

Semantic Search

Vector search over documents, tickets, and knowledge bases.

Document Intelligence

Extract, classify, and query large document sets.

Model Customization

Adapt models to your domain, tone, and task.

Fine-Tuning

Task-specific tuning on your proprietary data.

Instruction Tuning

Shape behaviour, format, and style of responses.

Model Evaluation

Benchmarks, eval suites, and quality scoring.

Prompt Engineering

Reliable, tested prompts with guardrails.

Deployment & Ops

Run LLMs securely, fast, and cost-effectively.

Private LLM Hosting

Self-hosted models for data-sensitive workloads.

Open-Source LLMs

Llama, Mistral, and Qwen deployed on your infrastructure.

Gateways & Guardrails

Rate limits, safety filters, and routing across models.

Cost & Latency Optimization

Caching, quantization, and smart model selection.

Building on LLMs?

Tell us your use case and data — we'll recommend the right model and architecture, and give you a free quote.