
Umna, founded by Roman Slavinsky, is at the forefront of recruitment innovation with its AI-powered SaaS product designed to revolutionize how companies handle candidate reviews. At its core, Umna’s proprietary AI formula offers a unique solution for evaluating candidates against specific hiring criteria, seamlessly integrating these insights into popular project management tools like Monday and other platforms supporting open API connectivity.
Our process begins with a deep understanding of your hiring needs—essential criteria, potential red flags, and success factors—to precisely tailor our AI evaluation prompts. Umna’s technology adeptly assesses a wide range of qualifications, from language proficiency to technical expertise and certifications.
Umna delivers a streamlined view of qualified candidates alongside a full list of applicants, enhancing transparency and decision-making efficiency. By automating the resume review process, Umna ensures consistency in candidate evaluation and drastically reduces the time and resources recruiting teams typically spend 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.

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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