Build AI products people
understand, trust, and
return to.
MindPort is a research and strategy advisory firm specializing in human–AI interaction. We help AI-native companies and product teams understand how people experience emerging AI capabilities, then translate that insight into better strategy, design, and roadmap decisions.
AI capability is advancing quickly. Human experience is now the differentiator.
The next generation of AI products will be judged by more than technical performance. They will be judged by whether people understand them, trust them, find value in them, and choose to keep using them.
MindPort helps teams building at the edge of AI answer the human questions that shape product success.
How do people interpret what the system can do?
Where does trust break down?
What makes an AI interaction worth returning to?
Which product decisions will drive real adoption?
Human–AI interaction research and strategy.
We study how people interact with AI systems, products, and experiences, then translate that understanding into practical direction for product and strategy teams.
- Understand how users experience AI products and features
- Identify barriers to trust, comprehension, usefulness, and adoption
- Validate new product concepts, interaction models, and experience directions
- Improve existing AI products through research-led recommendations
- Define product roadmaps around the human behaviors that matter most
- Explore emerging interaction patterns across generative AI, agents, multimodal tools, autonomous systems, wearables, robotics, and embedded AI
AI-native companies and the product teams shaping what comes next.
That includes teams developing generative tools, agentic products, search and discovery systems, creative platforms, autonomous experiences, wearables, robotics, embedded AI, and other emerging technologies where human interaction is central to success.
We also partner with enterprise product and innovation teams building AI-enabled products, services, and customer or employee experiences.
Three ways to work with us.
AI experience research
For teams with an existing AI product, feature, prototype, or concept that needs deeper user insight.
We help you understand how people experience your product today, where friction or uncertainty appears, and what changes could improve usefulness, trust, adoption, and retention.
Human–AI product strategy
For teams shaping new AI products, features, or interaction models.
We help define the product opportunity, user value, experience principles, interaction hypotheses, and roadmap priorities that will guide stronger product decisions.
AIX advisory
For teams making high-stakes decisions about the future of AI interaction.
We provide strategic advisory, research synthesis, and decision support for leaders exploring how people will use, trust, and build relationships with emerging AI capabilities.
Artificial Intelligence Experience.
AIX is MindPort's framework for understanding how humans experience AI systems. It combines UX, HCI, product research, behavioral science, psychology, and social research to examine the dimensions that shape successful AI products.
Comprehension. Trust. Control. Usefulness. Interaction. Adoption. Meaning.
AIX helps teams move beyond technical capability to understand the experience conditions that determine whether an AI product becomes useful, trusted, and valued.
We help teams see what technology-led development often misses.
AI products are shaped by models, data, interfaces, workflows, expectations, emotions, habits, and social meaning. Strong technical capability matters, but it's only part of the experience.
MindPort brings a human lens to frontier technology questions. We help teams understand how people make sense of AI, where product experiences succeed or fail, and how human insight can sharpen product strategy.
Alongside engagements with emerging technology, AI, healthcare, mobility, and product-led organizations.
Building something at the edge of AI?
If you are developing an AI product, feature, or experience and need to understand how people will use it, trust it, or respond to it, we can help.