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Aivry – Al agents for real business conversations

AI Recruitment That Helps You Find the Right People Faster

See How Halo Works See How Halo Works

From a pile of resumes to a clearer shortlist.

Fits into the recruitment workflow you already have

Halo can support recruitment workflows alongside your existing processes and, where suitable integrations are available, connect with ATS, communication and workflow systems. The goal is not to make recruiters change how they hire. It is to remove the repetitive work around it.

/ Artificial Intellegance in shaping the future of technology. 
/ Artificial Intellegance in shaping the future of technology. 

Value PropositionHiring gets easier when the information is already organised.

Resume Parsing

Turn resumes and candidate applications into structured information that is easier to search, compare and review.

Skills Matching

Compare candidate skills and experience against the requirements of a role to surface relevant information faster.

AI-Assisted Candidate Scoring

Use configurable scoring to help recruiters prioritise applications for human review.

Candidate Organisation

Keep candidate information, and recruitment data organised instead of scattered across files and inboxes.

Screening Support

Support early-stage screening by structuring candidate information around the criteria your recruitment team defines.

Workflow Automation

Automate repetitive recruitment steps such as data movement, candidate organisation and workflow actions.

Recruiter Review

Review AI-generated scores, rankings and assessments before they influence shortlisting or hiring decisions.

Recruitment Insights

Bring candidate data into a clearer format so hiring teams can compare applicants with more context .

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How It WorksFrom job requirement to human-reviewed shortlist.

Define what the role needs

Start with the job description, role requirements and the criteria your recruitment team wants to evaluate. These become the context Halo uses to assist the screening workflow.

Halo structures candidate information

Candidate resumes and application information can be parsed and organised into structured data such as experience, education, skills and relevant metadata.

Halo assists with matching and scoring

Halo can compare candidate information with role criteria and produce AI-assisted relevance, scoring or ranking outputs to help your team review applications more efficiently.

Your recruiter makes the call

Recruiters review the information, validate the AI output and make the actual decisions on shortlisting, interviews, offers and hiring. Halo assists the process. It does not replace hiring judgement.

faqQuestions recruitment teams usually ask about Halo

Halo is Aivry’s recruitment intelligence product. It supports recruitment workflows with resume parsing, candidate organisation, skills matching, AI-assisted screening, candidate scoring, workflow automation and recruitment data organisation. Halo is a productivity and decision-support tool, not a replacement for human hiring judgement.

Halo can assist with candidate scoring, ranking and screening information, but final employment decisions must remain with people. Human review is required before rejection, shortlisting, interview progression, compensation decisions, offers or other adverse employment decisions.

Halo can use configured criteria, role requirements and candidate information to generate AI-assisted scoring, relevance matching or ranking outputs. These outputs can be influenced by source data, configuration, prompts and third-party AI models, so recruiters must review and validate them rather than treating a score as automatic truth.

Yes. Halo can parse resumes and candidate applications, structure information such as employment history, education and skills, and assist with matching that information against role requirements.

No. Halo is designed to reduce repetitive recruitment work and support decision-making. Recruiters remain responsible for reviewing candidates, validating AI outputs, checking fairness and making hiring decisions.

Yes. AI systems can produce biased or incomplete outputs because of training limitations, historical patterns, incomplete resumes, customer data, prompt design or scoring logic. Halo does not guarantee bias-free output, so customers must actively review fairness and comply with applicable employment and anti-discrimination requirements.

Too many applications. Not enough recruiter time?

Show us how your hiring team works today. We’ll help you identify where Halo can reduce repetitive screening and candidate-management work without taking hiring judgement away from your people.