Where software engineering meets AI research.
Our technology approach combines dependable application engineering with modern AI systems.
Technology areas
Full-stack engineering
Next.js, TypeScript, APIs, databases, authentication, testing, and production engineering.
Generative AI
LLMs, prompting, structured generation, evaluation, and AI application patterns.
Retrieval and knowledge
RAG, embeddings, vector databases, document processing, and semantic retrieval.
Agentic AI
Tool use, workflow orchestration, coding agents, and multi-step AI systems.
Model research
Efficient language models, coding models, alternative architectures, hybrid approaches, and practical inference.
Principle
Use the simplest architecture that solves the problem, then measure before adding complexity.