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SkyHive was established to cognify the world labor economy by developing the world’s most potent knowledge graph for jobs, skills, training, and labor market intelligence. SkyHive is the "Google” of the world labor economy, capturing all shifts and changes. It is becoming an operating system for how current and future people technologies apply cognified intelligence to their applications.
To put it differently, like those who coded the human genome, SkyHive has coded human capability.
We are a groundbreaking deep technology company that has developed one of the most advanced AI, and ethical AI systems in the world. We have pioneered the methodology of Quantum Labor Analysis (R) and have built the world's only Human Capital Operating System™.
We are a B Corporation with an ambitious goal to use our invention to reskill the world and its 8+ billion people. We help individuals, governments, companies and educational organizations identify the skills they have, how jobs and skills are changing, what the gaps are, and how to fill those gaps at pace and scale.
SkyHive’s groundbreaking, patented invention decoding human capability is the only technology in the world that can:
Our customers will tell you that SkyHive is the world’s most advanced technology to support you with answering four primary questions (along with a lot more):
Each of these represents millions of dollars in annual savings and time-to-value is weeks, not months or years.
SkyHive’s unique technology has cracked the code for human capability.
This invention, like all software, requires a foundation which all programs and applications run on—an operating system.
That foundation is SkyHive’s Human Capital Operating System™—the only technology in the world that break down human capability and potential into its smallest, most quantum parts. The patented system is possible because of SkyHive’s knowledge graph, the world’s largest, which includes trillions of labor market-related relationships, including compensation levels, training, economic data, jobs data, industry data, geographic data, and more. SkyHive processes more than 24 TB of raw data every day, including anonymized worker profiles and job descriptions from over 180 countries in multiple languages.
The Human Capital Operating System can harmonize skills and jobs between two separate systems. It complements other technologies, such as SAP, Workday, and ServiceNow, unifying your talent architecture.
It can be used either as a Platform as a Service, enriching existing systemswith insights, or as an end-to-end SaaS for enterprises.
The Human Capital Operating System works in real time. It’s person-agnostic, handling contractors, consultants, and temporary workers as wellas full-time, more permanent employees.
SkyHive has the world’s most comprehensive real-time global skills data set in human capital management. This public data is sourced daily globally across different languages.
SkyHive uses web scraping, APIs (paid and non-paid), manual data collection via proprietary apps, and many paid data sources. We strictly adhere to all data acquisition protocols. Some of these include conforming to:
The data is stored in an AES 256 encrypted database with restricted access.
The following are the data source types:
The Skills Passport™ allows individuals to understand the skills they have, the skills they’ll need, and how to bridge the gaps.
It opens new pathways for individuals far beyond what would have been available traditionally. Additionally, it provides a complete visualization of an individual’s reskilling journey and maps out the training to be undertaken.
Based on the skills gaps identified, SkyHive finds learning and development options that cover the skills required for career progression or transition.
Using SkyHive’s engine, SkyHive automatically recommends job opportunities and matches relevant skills to the skills profile. The streamlined job matching process allows individuals to look beyond their conventional career path and save a significant amount of time by targeting key skills.
For enterprise leaders, it helps eliminate bias and look past the traditional job title by determining the precise skill match between a candidate and an open position.
For government leaders, it fosters community resilience and economic empowerment by helping individuals better understand the skills they have,the skills they’ll need, and the optimal pathway to remain relevant and competitive—regardless of their previous job title.
For skill developers and educators, it promotes the development of specific skills needed, helps individuals better understand the optimal pathways to reaching their future goals, and connects them to available job opportunities along the way.
After spending millions of dollars on HR technologies, and countless years trying to integrate them, organizations find that the systems don’t talk to each other and aren’t providing the valuable data they need. The systems operate in siloes—there is no unifying language. So, people are redeployed who could have been hired internally. Projects are sent to temp agencies that could have been done in house. Pay is set without a sense ofwhat skills will be most valuable in the coming years. Promotions and performance management are haphazard, and biased. Past job applicants are ignored.
SkyHive changes all of this. It provides a single, unifying, view of skills, built from the ground up. This unlocks valuable data from all of your current systems. It helps harmonize the information flowing in and out of your systems. Basically, it helps them all speak the same language. The operating system helps break down your siloes.
So, before laying someone off, you can see how their skills translate into jobs that are open in your company. Before going to a temp agency, you can see who has the skills internally. Hiring and promotions happen based on skills, not who knows who. You can see how forgotten past applicants and their skills can be hired for jobs you now have open.
SkyHive’s Quantum Labor Analysis methodology involves collecting and analyzing millions of real-time labor market data points. It is the most powerful knowledge graph of jobs, skills, training, labor market, and related intelligence in the world.
It represents a quantum leap in our understanding of the very fabric of the economy, and fundamentally transforms how we work, learn, and live.
The short answer is that SkyHive's technology takes all of these into account when providing its intelligence. Read more in this blog post.
The ethics of AI is a topic of great interest to SkyHive; we’re working with the Responsible Artificial Intelligence Institute and the GPAI and recently won the RAISE Award for exhibiting best practices in responsible AI.
To support our commitment to ethical AI, we have invested in an enterpriseethical AI policy and framework and have benchmarked itself against leading privacy and ethical AI legislation and standards.
To promote responsible AI practices, SkyHive has adopted a set of ethical AI principles and a corresponding policy that provides guidance for data users and AI practitioners.
SkyHive has adopted ethical AI principles at the organizational level to shape the company’s culture of responsibility and support its goal of being a leader in responsible AI. The image illustrates SkyHive’s guiding principles, which are aligned to the pillars of compliance and ethical data practices, ethical design and responsible deployment, accountability, safety, trust, and transparency.
To ensure that SkyHive’s ethical AI principles are consistently applied in day-to-day operations, the company has developed a policy that outlines itsapproach to ethical AI and sets standards for development and use of AI systems. The policy provides guidelines for practitioners to follow across the model development process, covering key areas such as transparency,explainability, robustness, trust, confidentiality, and accountability. The policy applies to all SkyHive staff, contractors, and third parties involved in core business operations and is aligned with SkyHive’s ongoing commitment to advancing efficient and effective privacy and data management practices.
To effectively implement the principles outlined in SkyHive’s ethical AI policy, the company has established an enterprise framework called MIDAS+. This framework certifies the use of data and AI models across theorganization and ensures a consistent governance process. The MIDAS+ framework centers on the pillars of accuracy, consistency, quality, and ethics.
SkyHive recently conducted a privacy maturity assessment to evaluate its privacy program, strategic alignment, and corporate culture against industrystandards and legal requirements, including Canadian privacy legislation and the European Union’s General Data Protection Regulation (GDPR). Aspart of the assessment, stakeholders from across the company were interviewed to assess privacy practices and determine the effectiveness of SkyHive’s enterprise policies. The assessment covered a range of criteria including privacy governance, privacy program controls, personal information security, fair and lawful processing, privacy by design, privacy enhancing techniques, and data rights. These criteria were ranked on a scale between ad-hoc to optimized, and specific steps were identified and prioritized to help SkyHive improve its privacy practices going forward.
SkyHive has recently evaluated its responsible AI practices against emerging AI standards and legislation, including the US Algorithmic Accountability Act, NIST and ISO/IEC standards, the EU AI Act, and Canada’s Artificial Intelligence and Data Act. As part of this evaluation, specific activities and requirements were identified across stages of model lifecycle to ensure compliance with emerging standards and regulations. These requirements were documented and continue to influence enhancements to SkyHive’s AI practices and MIDAS+ framework.
