AI Development

AI development involves creating and improving intelligent systems that can make autonomous decisions and solve problems. This process includes using and adapting existing models, or building custom models that allow systems to learn from data, adjust to new inputs, and perform complex tasks effectively. Typical projects involve natural language processing (NLP), computer vision, and predictive analytics, often utilizing programming languages such as Python.

We integrate and customize large language models (LLMs) to fit seamlessly into existing systems. This includes fine-tuning foundation models on proprietary datasets, developing advanced prompt engineering frameworks, and securely deploying solutions across cloud, on-prem, or hybrid infrastructures.

Our capabilities span the integration of commercial and open-source LLMs (OpenAI, Mistral, Gemini, Llama 3, Claude, etc.), as well as the design and training of smaller, domain-specific models when off-the-shelf solutions fall short. Whether embedded into internal workflows or powering customer-facing applications, each model is adapted for performance, efficiency, and transparency.

We also develop agents—linking LLMs to APIs, databases, and business logic—to create intelligent systems that augment decision-making and reduce manual overhead. These workflows are hardened for security, data compliance, and long-term reliability.

With decades of experience in software and data architecture, Beezwax ensures that AI systems are not only innovative but also trusted, maintainable, and production-ready.