AI Strategy & Development

We design and implement intelligent systems built for real-world complexity. Our approach fuses neuroscience-inspired architecture, generative AI, deep learning, and machine learning methods to create systems that adapt, specialize, and reason.

What We Do

• Custom LLM integration with internal tools and data
• Retrieval-augmented generation (RAG) and prompt engineering
• Agentic workflows that coordinate multiple AI components
• Geometric and graph-based deep learning for spatial data
• Domain-specific fine-tuning and evaluation pipelines

Why It Matters

Off-the-shelf AI can be powerful—but specialized domains require tailored intelligence. We help you develop solutions that reflect the structure of your domain, integrate cleanly with your existing workflows, and surface emergent insights.

Example Use Cases

• AI copilots for scientific analysis, operations, or R&D
• Graph neural networks for molecules, supply chains, or social data
• Custom retrieval pipelines in legal, finance, or academic domains
• LLM evaluations for cost, safety, and performance across industries

Industries We Serve

Our clients span biotech, pharma, enterprise software, finance, scientific research, logistics, and more. If your work involves high-stakes decisions, complex data, or deep expertise—we can help you unlock intelligent automation and decision support.