Refuel is an all-in-one platform for building and deploying AI powered data transformations. Today, we're opening up access to our newest product, HR data transformations, a suite of pre-built APIs that make it easy to solve the "unsexy" data challenges in the world of HR, ranging from resume parsing, job title normalization, seniority classification, to skills mapping.
Refuel achieves unparalleled levels of accuracy at significant volumes with virtually no engineering resources or overhead required.
Cleanly and efficiently extract data from unstructured documents such as resumes at unparalleled accuracy.
Refuel parses at 90%+ accuracy, compared to traditional ATS systems which yield ~60%-70% accuracy.
Refuel enables your organization to asses candidate fit, improve talent match and mitigate lost opportunities.
Job titles often take different forms, depending on the company and industry. Refuel makes it easy to match job titles against your custom, internal taxonomy.
Refuel manages job title variability, geographical nuance and ambiguity with ease.
Refuel makes it easy to set up a job title normalization workflow with 95%+ accuracy in a matter of hours.
Refuel easily tackles ambiguity and lack of standardization when it comes to identifying role seniority.
Refuel makes it simple to create a seniority classification pipeline at 95%+ accuracy in a matter of hours.
Identify, categorize, and map the skills of your workforce with the roles and responsibilities required to drive business outcomes.
Industry specific jargon and skill synonyms can make the mapping process difficult - not for Refuel.
Refuel makes it simple to map between large skill taxonomies with thousands of possible skill/job options.
Extract key attributes (location, pay, company name, skills) from job descriptions
Variance in job description structures can make it difficult to standardize parsing
Extract the attributes that matter for your use case at high levels of accuracy with Refuel
