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Introducing AIKNOW Matching: Find Talent Beyond the CV

AI analyzes candidate information to reveal potential fit and streamline staffing decisions.

Technica Inc., now Technica AI Inc., announced the launch of AIKNOW Matching on May 29, 2025. The product uses AI to support candidate evaluation and related recruitment and staffing tasks.

This English adaptation is based on the May 29, 2025 press release. The former company name, Technica Inc., product scope, and company profile reflect the time of publication. See the current product page for the latest capabilities.

Candidate evaluation brings together skills, qualifications, availability, preferences, and prior experience. The launch announcement described how AIKNOW Matching combines structured records with interview and work-experience information to help recruiters build shortlists. Recruiters remain responsible for assessing suitability and making placement decisions.

Key features of AIKNOW Matching

AIKNOW Matching helps recruitment teams organize candidate information and compare applicants against defined requirements, providing a consistent basis for timely shortlists. Its recommendations inform selection but do not guarantee a successful placement.

1. AI matching based on meaning and context

According to the launch announcement, AIKNOW Matching analyzes structured data and work-experience records to generate match scores and shortlists. The reported scoring time was under one minute. Workload and test conditions were not published, so this figure should not be treated as a response-time commitment for every deployment.

Recruiters review the recommendations before making decisions. Matching quality depends on the completeness of the data, the evaluation criteria, and the staffing team’s checks.

2. Candidate outreach and follow-up support

The announcement outlined candidate outreach through LINE and social media, interview scheduling, reminders, and requests for profile updates. Available channels and automation are determined by integrations, access permissions, and the agreed communication process.

3. Drafting and reuse of recruitment knowledge

AI can help draft candidate recommendations and prepare for interviews using the role requirements and available candidate information. Staff review drafts before use, and approved records can inform future evaluations.

The release reported that selected preparation tasks could be reduced from several hours to under five minutes, but did not publish the evaluation method. Actual preparation time depends on the task, source records, and the review required.

Practical deployment support that fits day-to-day operations

Deployment planning considers recruitment workflows and existing applicant tracking systems (ATS), customer relationship management (CRM) systems, and communication tools.

Integration, customization, migration effort, and workflow changes are assessed for each deployment, based on available interfaces, data quality, and operational requirements.

Product and deployment inquiries

Technica Inc.
3F Kanda Dai-4 Amerex Building,
2-13 Kanda Tsukasamachi, Chiyoda-ku, Tokyo 101-0048, Japan

Email: office@technica.ai
Website: https://technica.ai

This release was distributed via PR TIMES.

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