Capability 04
Artificial Intelligence, Machine Learning & Automation
From a quantized model on a laptop GPU to a retrieval-augmented pipeline over proprietary data -- the full range of applied AI work.
What's inside
Local AI Development & Acceleration
Local environments tuned with NVIDIA CUDA and adjusted context windows to run quantized LLMs on high-end GPUs.
AI/ML Enterprise Solutions
Models trained, evaluated, and deployed -- from decision trees to deep neural networks -- to support faster, better-informed decisions.
AI Orchestration & RAG
Backend workflows using retrieval-augmented generation and agentic frameworks like LangChain to connect LLMs to proprietary databases and file systems.
What you get
- A scoped model pipeline -- from a quantized local LLM to a hosted enterprise model
- RAG connected to your own proprietary data, not a generic public knowledge base
- Agentic workflows built on frameworks like LangChain for multi-step automation
- An evaluation harness so you can measure whether the model is actually working
Configure AI workflow
Send this straight to the team, add it alongside other pillars in a single scope request, or pull a printable one-pager for internal sign-off.
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