Team

The people shaping AI experiences with clarity, precision, and business empathy.

We bring together strategy, engineering, data intelligence, and product thinking to help clients build AI systems that are useful, trusted, and durable.

Core disciplines

Business + AI

Leadership focus

Practical

Delivery mindset

How We Collaborate

Cross-functional pairing, crisp communication, and shared accountability from strategy through launch.

Leadership & Specialists

A polished team gallery designed for trust, visibility, and future scaling.

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Sana Mir

Founder & AI Strategy Lead

Sana helps leadership teams translate ambition into practical AI programs with clear milestones, governance, and measurable value.

AI strategy, transformation roadmaps, and executive advisory

Daniel Kim

Head of Applied AI Engineering

Daniel leads solution architecture across copilots, automation systems, and production-grade AI platforms.

LLM systems, workflow architecture, and delivery leadership

Alina Rocha

Director of Data Intelligence

Alina builds the data foundations and insight models that let businesses trust what their AI systems recommend.

Analytics strategy, forecasting, and data product design

Michael Owens

Conversational Experience Lead

Michael designs AI experiences that feel useful, on-brand, and safe in high-stakes support and service workflows.

Conversational AI, knowledge systems, and UX writing

Clear client communication is part of the product, not an afterthought.

We design for adoption, reliability, and long-term maintainability.

We treat governance and user trust as core experience requirements.