Umna, co-founded by Roman Slavinsky and Beate Chelette, stands at the forefront of recruitment innovation with its AI-powered SaaS product designed to revolutionize the way companies handle their candidate review process. At its core, Umna's proprietary AI formula offers a unique solution for evaluating candidates against specific hiring criteria, seamlessly integrating these insights into the popular project management software Monday. This adaptability extends to other project management tools that support open API connectivity, demonstrating Umna's commitment to flexibility and integration.
The process begins with a thorough understanding of your hiring needs, including essential criteria, potential red flags, and success factors, to tailor the AI's evaluation prompts precisely. Umna's technology is adept at assessing a range of qualifications, from language proficiency to technical expertise and certifications.
Umna delivers a streamlined view of qualified candidates, alongside a comprehensive list of all applicants, thereby enhancing transparency and decision-making efficiency. By automating the resume review process, Umna not only ensures consistency in candidate evaluation but also significantly reduces the time and resources traditionally spent by recruiting teams on manual reviews.
Roman's journey from Kiev, Ukraine, to becoming a technology enthusiast and educational entrepreneur in Los Angeles showcases his resilience and passion for innovation.
With a background in education, Roman's experiences have uniquely positioned him to understand diverse learning needs, driving him to co-found Umna. This AI-powered platform is a fusion of Roman's love for technology and his commitment to optimizing recruitment processes.
His geeky zeal for all things tech, combined with his educational insights, forms the bedrock of Umna's mission to revolutionize hiring by ensuring perfect candidate matches through advanced AI evaluations.
Beate Chelette, a visionary entrepreneur and Growth Architect, blends her passion for empowering businesses with her keen tech acumen.
With a rich background in building scalable enterprise systems and a multimillion dollar exit to Bill Gates she enjoys building processes and systems. Always with a sharp eye for innovation, Beate co-founded Umna. Her journey, marked by relentless pursuit of efficiency and effectiveness in business processes, led her to leverage artificial intelligence in transforming recruitment.
Beate’s leadership in Umna reflects her commitment to creating technology solutions that not only meet but exceed market needs, demonstrating her belief in the power of AI to revolutionize industries.
In today's fast-paced and competitive job market, the recruitment process can be fraught with challenges. Companies often grapple with the tedious task of sifting through an overwhelming volume of resumes, which can be both time-consuming and inefficient.
The lack of a streamlined process leads to missed opportunities, as potentially ideal candidates may be overlooked due to human error or biases or because the candidate stumbled in the first phase of the interview process.
Additionally, the existing systems may not integrate well with other project management tools, leading to a disjointed workflow and further complicating the recruitment process. These pain points underscore the need for an innovative solution that can automate and refine candidate evaluation, ensuring a more efficient and effective hiring process.
We filter your prospects based on your criteria so that you can find the right people fast.
Time
Dramatically reduces hours spent on manual resume screening.
Decision Making
Supports informed decision-making with detailed candidate insights.
Consistency and Bias
Ensures uniform application of hiring criteria across all candidates.
Comprehensive Evaluation
Ability to assess a wide range of qualifications, from language skills to technical certifications.
Resource Allocation
Frees up recruiting team resources for other strategic activities.
Missed Opportunity Costs
Save money on job ads, by getting the right people identified faster.
Efficiency
Automates the import of candidate data and scores into project management software.
Red Flags
Helps pinpoint potential issues early in the hiring process.
Customization
Tailored AI prompts based on specific hiring needs and criteria.
Umna is an AI-powered platform designed to streamline the recruitment process by precisely matching companies with ideal candidates based on specific hiring criteria.
Umna enhances your hiring process by utilizing AI to efficiently evaluate candidates against your specific criteria, ensuring a faster, more accurate match without the manual effort.
No, Umna is not a recruitment company; it's a technology platform that leverages artificial intelligence to streamline and improve the hiring process for businesses.
To start with Umna, go to pricing, select one of our three solutions and let's streamline your recruitment process with our AI-driven evaluations.
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