Wil Bown is a veteran AI architect with more than 35 years of experience building production-grade intelligent systems. He is the creator of iamai-core and brings deep expertise in modern AI architectures, local inference, and open-source AI infrastructure using tools such as PyTorch, TensorFlow, and llama.cpp.

Wil has been building applied AI long before today’s LLM boom—developing reinforcement-learning agents, early Blockchain + AI platforms, and frameworks designed for continuous learning outside centralized data silos. His work consistently prioritizes performance, privacy, and user ownership.

At Kitsiq, Wil leads core AI architecture, ensuring the platform’s agents are efficient, transparent, and designed to operate in tandem with humans rather than replace them.

Martin Darko is a data-driven marketing technologist specializing in quantitative marketing systems and multi-channel attribution. Known as the “Data Scientist Marketer,” he applies media mix modeling and statistical optimization to improve conversion through sustained, cross-channel engagement.

Martin approaches marketing as a probabilistic system—one that performs best when automation is paired with human judgment and continuous feedback. His work focuses on solving the industry’s biggest gap: scalable lead nurturing between awareness and sales.

At Kitsiq, Martin leads product strategy and execution, designing human-paired AI agents that engage prospects, identify intent, and deliver high-value warm transfers to sales teams. His focus is building AI infrastructure that turns attention into durable revenue, not vanity metrics.