Research and platform work
Wizardry Models
A model and AI systems platform for giving teams access to capable models, APIs, vision, fine-tuning, RAG, agents, and voice workflows.
The problem
Different products need different intelligence. Teams need help choosing models, adapting them to their data, connecting them to tools, and operating them reliably instead of dropping an API into an unfinished product.
What we built
Source, evaluate, adapt, integrate, and deploy models for specific product requirements.
Expose model capabilities through API and token-based workflows, including vision and multimodal use cases.
Apply prompt engineering, retrieval, fine-tuning, and evaluation to fit a company, website, or dataset.
Research low-level inference with C/C++, Metal, GGUF, quantization, KV-cache management, and Apple Silicon optimization.
Connect models to agents, voice workflows, MCP tools, and full-stack applications.
Capabilities
- Model evaluation
- API and token access
- RAG systems
- Fine-tuning
- Agents and voice
- Inference optimization
Technology
What changed
- A practical path from model selection to production product
- Reusable intelligence layers for company data and workflows
- Low-level research supporting efficient local inference
Have a difficult system to build?
Let’s turn the hard part into something useful.