01
Your applicant interviews with AI
Each qualified applicant gets a link to a voice interview — a real conversation with an AI that asks about their experience and follows up on what they say.
01Our approach
Resumes don't talk. People do.
Traditional ATS systems reject candidates on a keyword count. We think that's broken. Tukadi lets your applicants explain their experience in a real conversation — then hands your team the full transcript and the evidence to decide.
02The problem
Keyword matching is a lazy proxy for skill.
Most hiring software screens resumes by counting keywords. If you don't have the right words in the right places, you're out — even if you're exactly what the team needs.
Keyword ATS
- 01Resume gets parsed into keywords
- 02Algorithm counts keyword matches
- 03Below threshold? Auto-rejected
- 04No context. No conversation. No appeal.
Tukadi
- 01Applicant explains their experience in their own words
- 02AI asks follow-ups based on what they actually say
- 03Responses evaluated for depth, reasoning, and fit
- 04You see the full transcript plus the AI's assessment
03The difference
What actually changes
| Keyword ATS | AI conversation | |
|---|---|---|
| What gets evaluated | Keywords on a document | How someone explains their work |
| Who gets a chance | People who write resumes well | People who can actually do the job |
| Evidence for decisions | A match score | Full transcript + reasoning |
| Candidate experience | Submit and wait (often forever) | Have a real conversation |
| Bias potential | Encodes historical hiring patterns | Consistent questions for everyone |
04Core belief
Everyone deserves a chance to explain themselves.
A resume is a marketing document. It doesn't show how someone thinks through a problem, how they communicate under pressure, or whether they'd actually be good at the job. A conversation does.
05How it works
Simple and transparent
Tukadi screens and interviews your own applicants — and shows its work at every step, so the decision always stays with your team.
02
AI captures everything
Full transcript, structured evaluation against your criteria, and the AI's assessment of how they did. Nothing hidden, nothing summarized away.
03
Your team decides
Review the evidence and make the call. Move forward, pass, or ask for a human follow-up. AI recommends — humans decide.
06Being honest
What we don't claim
We think AI conversations beat keyword matching. But we're not pretending AI is perfect — here's where it ends.
AI is not perfect
Voice AI can mishear, misunderstand context, or miss nuance. That's why a human reviews everything before any decision.
Not a replacement for humans
AI handles the screening and the initial conversation. Your team makes the hiring decision based on the evidence.
We're still learning
We're in early access. Our first users are helping us figure out what works and what doesn't — in the open.
07Our bet
Conversations reveal more than keywords ever could.
When you let someone explain their work in their own words, you learn things a resume can't tell you: how they think, how they communicate, what they actually know versus what they just listed.
That's the bet we're making. And we think it leads to better, fairer hiring decisions.
Early access
We're a small team testing this idea with our first users. If this approach resonates with you, we'd love to work together.
Talk to usSee the difference
Want to see it on your applicants?
Start free and screen your own applicants today, or book a demo and we'll walk a role through end to end — you'll see exactly what candidates experience and what evidence your team gets.