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AI-driven talent matching platform

Client:

ValueMatcher

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About the client

Together with their experts, Polar Night Software developed ValueMatcher, a platform that transforms the hiring process by efficiently matching candidates to companies based on knowledge, skills, personality, and values, not just their CVs. Designed to support adaptable leadership strategies, ValueMatcher connects organizations with the ideal candidates for both the role and company culture. It features fair and unbiased assessments, ensuring equal opportunities and aligning interim business needs with the top talent in the market.

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Project type

Ai, Web

Industry

HR Tech & Talent

Location

Finland

Problem

Hiring relied too much on CV keywords, missing values, culture, and soft-skills fit.

Approach

We co-built assessments and matching logic that evaluate knowledge, skills, and values to recommend best-fit candidates.

Outcomes

  • Shortlists that reflect culture and role fit

  • Fairer, more transparent evaluations

  • Faster time-to-hire for critical roles

Project overview

Together with their experts, Polar Night Software developed ValueMatcher, a platform that transforms the hiring process by efficiently matching candidates to companies based on knowledge, skills, personality, and values, not just their CVs. Designed to support adaptable leadership strategies, ValueMatcher connects organizations with the ideal candidates for both the role and company culture. It features fair and unbiased assessments, ensuring equal opportunities and aligning interim business needs with the top talent in the market.
Company photo 1

Partnership Goal

Launch a trustworthy, values-aware matching platform that helps recruiters explain recommendations, candidates feel treated fairly, and hiring teams move faster without changing their existing tools.

From keywords to real fit

Match on what makes people succeed - not just what’s on the CV.

Together we shaped role profiles that balance hard skills with values, work style, and culture signals. The platform guides candidates through focused assessments and turns the results into a consistent, comparable view for recruiters, so shortlists reflect both competence and alignment with the organisation.

A matching engine you can explain

Transparent scoring with bias-aware guardrails.

The engine combines assessment scores, declared skills, and role weights into an overall match with plain-language reasons. Controls allow teams to adjust weights per role, and fairness checks help keep decisions consistent across candidate groups. GDPR-friendly data handling and clear consent flows are built in.

Adoption without disruption

Fits the stack recruiters already use.

ValueMatcher plugs into popular ATS and HR tools, supports SSO for easy access, and provides an admin workspace for role templates, weights, and reporting. Recruiters get shorter paths to viable shortlists; candidates see a fairer, more consistent process from screening to offer.

How our team turned ideas into a working, scalable solution

What we worked on

Services

AI
Web Development
Integrations
Cloud

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Aku Kajan, Commercial Director

Aku Kajan

Commercial Director

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ValueMatcher — Case Study | Polar Night Software