Velric has launched an AI-based hiring platform built around role-specific assessments and a candidate rating called the Velric Score. The system is designed to help employers judge applicants by demonstrated performance rather than resumes.
The platform uses AI-generated missions tailored to specific jobs and designed to mirror workplace tasks. Velric says the assessments change in difficulty as candidates progress, giving recruiters a way to review performance in practical scenarios rather than relying mainly on self-described experience or interview presentation.
At the centre of the product is the Velric Score, described as a standardised measure of candidate ability. It is based on assessment results across six areas: execution quality, problem solving, accuracy, decision logic, speed and integrity.
That structure reflects a wider debate in recruitment as employers deal with higher application volumes, the spread of AI-assisted job applications and concerns about inflated credentials. Hiring teams have increasingly looked for ways to test whether applicants can do the work required, particularly in roles where practical performance is easier to measure than career history alone.
Velric is positioning its system as a filtering layer between the application and interview stages. Rather than placing most weight on CVs, cover letters and keyword matching, recruiters can use verified task performance as another signal when deciding which candidates should progress.
Assessment model
The score is generated entirely from mission performance rather than from information supplied by the applicant. In practice, that means candidates are judged on outputs from role-based exercises instead of prior job titles, academic records or application wording.
Velric also emphasises assessment integrity. It says the platform combines identity checks, behavioural monitoring, controlled assessment settings and response validation to support the authenticity of submitted work.
Those features target a market in which employers are increasingly concerned about whether applications reflect an individual's own work. Velric argues that verification has become more important as generative AI tools make it easier for applicants to polish written submissions and produce prepared answers at scale.
Hiring systems
The platform is built to connect with existing recruitment software rather than replace it. Velric says it offers native integrations with applicant tracking systems including Greenhouse, Lever and Workday, as well as custom API connections for organisations with more specific requirements.
By feeding scores and reports into established workflows, Velric is targeting both smaller recruitment teams and larger employers handling high volumes of applicants. The approach suggests it sees itself less as a standalone recruitment destination and more as an assessment layer that can be slotted into current hiring processes.
Velric says it has already gained users among educational institutions and employers. Organisations it names include MSM Unify, Florida Coastal University, Northeastern University and Hunter College.
Broader shift
The launch comes as recruitment technology providers respond to growing dissatisfaction with traditional screening methods. CV-led hiring has long been criticised for favouring candidates who are better at presenting experience on paper, while interviews can reward confidence and communication style as much as job competence.
Supporters of task-based assessment argue that a proof-of-work approach gives employers a clearer view of how applicants think, prioritise and solve problems. Critics, however, have raised wider industry questions about candidate fatigue, fairness in automated scoring and whether simulations can capture the complexity of real work. Velric's model answers that debate through a score generated from structured exercises and verification checks.
For candidates, the system could provide another path into jobs where formal credentials or polished applications have traditionally carried more weight. For employers, it offers a way to compare applicants based on the same set of role-linked tasks.
"Hiring has been broken for a long time because it rewards how well someone can describe their work instead of how well they can actually do it. Velric exists to close that gap. We built a system where candidates prove their ability through real execution, and hiring teams get a verified signal they can actually trust. That is the shift we are pushing the industry toward," said Mahir Laul, Founder and Chief Executive Officer of Velric.