Peerceptiv was founded to solve a problem that research identified decades ago: people develop capability through practice and feedback, yet organizations rarely have a scalable way to support or measure it.
Peerceptiv emerged from more than two decades of research at the University of Pittsburgh's Learning Research & Development Center. Across thousands of learners and dozens of institutions, one finding consistently stood out: people learn more deeply by evaluating and discussing each other's work. Peerceptiv exists to bring that evidence-based approach to enterprise learning.
Explore the research →Peerceptiv exists because organizations need better ways to develop, validate, and measure capability.
We don't guess what helps people learn. Our platform is grounded in decades of research on practice, feedback, and demonstrated capability.
We've translated learning science into workflows organizations can actually deploy across onboarding, leadership development, technical training, and workforce readiness.
If we can't measure capability, we don't claim it. Every workflow is designed to generate meaningful evidence of performance, not just completion.
Our team combines expertise in learning science, enterprise software, organizational development, and customer success with one shared mission: helping organizations develop and prove workforce capability.
Mark leads Peerceptiv's enterprise strategy and growth, drawing on a background in corporate training and simulation-based learning. He previously led business development for Fidelity's flight simulation and training division and founded AccuWare Inc.
Jonathan leads Peerceptiv's operations, scaling the systems and processes that support enterprise deployments. He brings a builder's discipline to how the company executes, honed through experience in education leadership and operational management.
Jake leads engineering and enterprise product architecture at Peerceptiv, building the infrastructure that powers peer-based learning at scale. He holds a degree in Computer Engineering from the University of Pittsburgh.
Megan helps organizations translate learning science into successful enterprise implementations and measurable adoption. Her background in applied linguistics and postsecondary language instruction informs how she partners with client teams through rollout and beyond.
Sheena brings deep expertise translating learning science into practical product experiences that support real-world skill development. Her background as a K-12 educator with a focus on critical thinking gives her a firsthand understanding of how people build capability, expertise she now applies to shaping the Peerceptiv product roadmap.
