We are committed to providing skills data visibility to all stakeholders in the ecosystem to promote learner agency, confidence, portability and mobility
Unlock skills data from system silos
Skills data is often locked away in disparate systems. Credentialate extracts and structures key learner assessment data to surface insights for the institution, learner and employers. It creates order from data chaos.
Using Credentialate, you can capture and collect evidence of the skills present in your curriculum and align them to frameworks. Simplifying data complexity makes data mobility seamless, aiding in learner transitions.
Standards are central to our platform values. We believe that to enable scale and sustainability in a new learn to earn ecosystem, there has to be an intentional standards-based, open and linked data architecture as part of the design process.
System agnostic and highly interoperable, Credentialate enables the creation of a comprehensive skills recognition infrastructure that makes skills transparent and usable in new ways.
Bridge the data gap
Employers are desperate for employees with the right skills. We see the skills and talent crisis as a shared global challenge with a shared connected ecosystem as a solution.
To move people through the talent marketplace, the data has to be able to move with them – in a machine readable format.
Credentialate makes possible skills data crosswalks – bridges between data silos and connections between skills taxonomies and competency frameworks.
Common skills language
Skills are the building blocks, the translation piece and the common language at the intersection of learners, learning institutions and employers.
Credentialate references the world’s largest open library of rich skill descriptors (RSDs), openRSD, enabling you to create a common skills language that can be understood by all.