Neural
Engineering.

We build retrieval-augmented generation systems that don't just search—they reason. Our pipelines include multi-stage reranking, query expansion, and self-correction loops to ensure absolute factual grounding.

• Custom Fine-Tuning Optimizing foundation models for specific domain language and formatting requirements.
• Knowledge Graph Integration Blending semantic vector search with structured graph reasoning for complex data relationships.

Engineering computer vision systems that go beyond static detection. We build temporal models that understand movement, intent, and environmental changes in real-time.

• Dynamic Segmentation Pixel-perfect environmental understanding for autonomous navigation and industrial safety.
• Edge Deployment Optimizing vision models to run on constrained hardware with sub-10ms latency.

Developing decentralized swarms of agents that collaborate on complex tasks, from automated supply chain optimization to intelligent customer experience management.

• Task Decomposition Systems that can take a high-level goal and break it down into actionable sub-tasks for specialized agents.
• Tool-Use Engineering Training agents to interact with external APIs, databases, and legacy software with 99%+ reliability.