Solutions
What we build.
Why Choose Us
LLM deployment packages
End-to-end LLM deployments on your infrastructure. Model selection (open-weights or API-based), fine-tuning where useful, monitoring, and handover with docs. Typical 4-8 weeks.
RAG pipelines
Retrieval-augmented-generation for knowledge-intensive workflows. Document ingestion, vector store, retrieval logic, response monitoring.
Agent workflows
Multi-step reasoning and tool-use systems. Customer-facing chatbots, internal-automation agents, long-running task workers.
Production infrastructure
Inference scaling, GPU provisioning, observability — the pipes around the model.
A typical engagement
Our engagements are fixed-scope from the start. We spend the first week understanding your problem, then propose a scope and price, then we build.
- Week 1: scoping + proposal
- Weeks 2-6: build + integration
- Week 7: handover + documentation
- Optional: ongoing managed-AI retainer