ABOUT CHRYSALIS
We’re building Chrysalis because AI is changing the relationship between people, experts, and personal data.
WHY WE CARE
People are bringing more of their lives into digital tools: their health stories, goals, decisions, histories, patterns, questions, and private reflections.
At the same time, experts, educators, practitioners, and methodology owners are trying to figure out how their work should live in an AI-shaped world without turning their IP into training data or asking clients to scatter sensitive context across dozens of tools.
Chrysalis exists for that space.
We are building consent-based AI infrastructure that helps people carry their context with more control, and helps expert-led businesses turn their methods into experiences people can actually use.
Not by replacing the human relationship.
By giving it better structure.
WHY USChrysalis sits at the intersection of two kinds of experience that don’t often live inside the same founding team:
The technical discipline to build secure, privacy-first infrastructure, and the lived commercial experience of building, scaling, and delivering expert-led digital education.
Brent Martin brings the systems architecture, product vision, and infrastructure discipline behind Chrysalis.
Brittany Martin brings the strategy, operations, partner development, and deep understanding of how expert-led businesses actually grow, scale, and strain under the weight of their own methods.
Together, we are building Chrysalis for a future where personalization does not require extraction, and scale does not require experts to lose control of the work people trust them for.
Meet Brent
Brent Martin is the founder of Chrysalis and leads the technical architecture behind the company’s identity, consent, and security infrastructure.
His work sits at the intersection of AI, identity, memory, and digital infrastructure, shaped by nearly two decades of experience designing and operating complex systems across industrial manufacturing, health platforms, and high-stakes transition environments.
Before Chrysalis, Brent worked across systems engineering, operations leadership, private equity transition, and integrated health and education platforms for practitioners and clients. Across those settings, his focus has remained consistent: building systems that are inspectable, resilient, and able to carry complexity without becoming fragile or opaque.
At Chrysalis, Brent leads the architecture required to make personal context more portable, permissioned, and protected as AI becomes more deeply woven into everyday life.
Meet Brittany
Brittany Martin is the president of Chrysalis and leads strategy, operations, product marketing, fundraising narrative, sales, and partner development.
Her work bridges ethical technology, business design, organizational systems, and human transformation. At Chrysalis, she helps translate the company’s technical architecture into a commercial and relational ecosystem that expert-led businesses and individuals can actually understand, trust, and use.
Before Chrysalis, Brittany spent seven years in senior leadership at a global digital education company, where she helped support growth from $4M to $10M, contributed to the leadership of a $12M annual revenue business, supported team growth from 8 to 25 full-time employees, and helped build the operating systems, planning rhythms, and launch structures required for scale.
She is also pursuing graduate study in Transformative Social Change at Saybrook University, where her academic work deepens her focus on systems change, leadership, and liberatory practice.
Across her work, Brittany is known for translating complexity into clear language, stronger structures, and more human systems.
What We Believe
AI-supported guidance needs clearer consent, stronger boundaries, more useful context, and business models that do not depend on extracting personal data.
People should own their story.
Personalization shouldn’t require people to scatter their history, goals, patterns, and private reflections across tools they don’t control.
Experts should keep their work.
The next era of AI shouldn’t require experts to hand over their frameworks, methods, assessments, or client processes as training data.
Privacy and personalization can belong together.
Better support shouldn’t come at the cost of consent, ownership, or trust.
