SaaS

Asendia AI

Asendia helps companies screen and qualify candidates within 24 hours, dramatically shortening the recruitment cycle. It serves organizations seeking faster hiring processes and aims to transform how quickly candidates are screened and qualified, delivering rapid hiring outcomes.

Team size
51-200
Founded 2025
Total raised
$500k
Seed · last round Apr '26

About Asendia AI

Asendia's mission is to help companies screen and qualify candidates within 24 hours, rather than weeks. This focus on speed signals a commitment to shortening the recruitment cycle. The information describes the company as aiming to transform how quickly candidates are screened and qualified. It presents a clear, customer-oriented goal of delivering rapid hiring outcomes.

Culture & values

Interviews are run by an AI recruiter 24/7 for around-the-clock candidate screening.

The AI recruiter uses natural voice AI to conduct candidate interviews.

The recruitment process aims to screen and qualify candidates in under 24 hours instead of weeks.

The AI recruiter understands job requirements and the company values.

The top of the funnel is automated, with AI handling the screening and qualification of candidates.

Funding

$500ktotal raised

Apr '26
  • Apr 2026 · Seed
    $500k
  • Dec 2024 · Pre-seed

Company at a glance

Founded2025
Websiteasendia.ai
LinkedInLinkedIn

The team at Asendia AI

51-200 peopleSee everyone on LinkedIn

MM

Mr Mute

--

VU

Victoria Uehara

2nd year Media, Communications and Sociology student at City, University of London

Rihab L.

Redefining Talent Acquisition and Staffing with AI | Co-Founder @ Asendia AI | SIA Member | Ex Google ☁️ / Ex Microsoft / EWOR Fellow Check out asendia.ai 🚀

BZ

Badis Zormati

Co-Founder @ Asendia AI - AI recruiter | Podcaster | ⚡️ Redefining Talent Acquisition and Staffing with Gen AI Technology ⚡️ | EWOR Traction Fellow

Team breakdown

Team Distribution

  • Operations & Management38%
  • Sales & Business Development26%
  • Engineering15%
  • No Information9%
  • Other Specialized6%

Where the Team Studied

  1. 1.National University of Computer and Emerging Sciences
  2. 2.Lahore University of Management Sciences
  3. 3.University of Cambridge
  4. 4.University of Oxford
  5. 5.University of Toronto

Team Worked At

  • Google
  • Meta
  • Microsoft
  • Apple
  • JPMorgan Chase

Team Composition

46 people
  • Education5
  • Engineering4
  • Entrepreneurship2 senior4
  • Information Technology4
  • Operations4
  • Administrative3
  • Leadership2 senior3
  • Human Resources2

Life at Asendia AI

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