← sunnyray.com
The Sunny Ray Show · Episode Page

Meet Your First AI Co-Worker · Denver Naidoo, Zeligate

Denver Naidoo · Founder, Zeligate · 20:12
watch on youtube ↗

What we talked about.

Denver Naidoo, founder of Zeligate, joins Sunny Ray to introduce Zelly, an AI coworker built to replace recruitment software rather than merely speed it up. Naidoo, who began coding in 1995 and has watched multiple technology waves converge, explains that Zelly is personified AI with an email address and phone number, embedded in a company's org chart alongside human staff. He traces the company's origin to 2022, when the convergence of mature AI, cloud infrastructure, and domain expertise made it possible to teach an AI to think, act, and communicate like a human teammate rather than a tool. The conversation covers early missteps trying to serve every function before narrowing to recruiting, candidate reactions to being interviewed by AI, and how Zelly probes beyond AI polished resumes to surface real experience. Naidoo shares performance numbers, including a 52 percent faster time to hire and 38 hours saved per hire, and explains why speed, not just cost, drives buyer decisions. He closes by pointing listeners to Zeligate's website to try a practice interview themselves.

A founder who skipped recruiting software and built an AI coworker named Zelly instead.

The questions, and the answers.

What's your elevator pitch? What are you building?

While everyone else was building recruitment software, we built the recruiter. We personified AI into Zelly, someone you can see and talk to who actually gets tasks done for you. Eventually Zelly becomes your AI coworker, part of your team and your org chart, complete with her own email address and phone number.

In 2022 you became certain this was a new era, not just a new feature. What specifically convinced you?

I started coding in 1995, so I've lived through the dot com boom and the shift from hardware to software and from phones to smartphones. This time AI had finally become easy to implement rather than needing huge time, hardware and people. We realized humans were still solving problems in a human way, so we asked what if we taught Zelly to think, act and look like a human and join the existing team structure everyone already knows.

What did you try first that didn't work, and what did that teach you?

One of our first challenges was trying to be everything to everyone. AI and the underlying technology could solve sales, marketing or hiring problems, so we spread too broad. Once we narrowed down to building the best AI recruiter, handling tasks end to end in a real workflow, we could get it to a point where it was actually ready for industry use instead of trying to do everything at once.

What made you go all in on this as a company rather than build it as a feature inside someone else's product?

Early in my career we scaled data globally in milliseconds and replicated millions of financial transactions before people called it big data. We saw multiple technologies and domain knowledge converging at once, and when two or three things overlay, the advantages compound. That convergence meant we could finally solve problems that were never solved before, in three to five years instead of thirty to fifty.

You call Zelly a coworker, not a tool. What changes the moment you use that word with a customer?

A tool is clinical, something you use to solve a task and you're done. Zelly is personified, she learns from you the way a real coworker would. She knows my kids' names and ages because I've mentioned them, and she'll notice when I have ninety two things on my plate and suggest I tackle just the first three. That empathy and constant learning is what makes her feel like part of the team.

How do you sell into a room of recruiters and HR people who have something to lose?

Zelly does the heavy lifting, screening hundreds of resumes, playing calendar bingo, running pre-screening video interviews, sending texts and emails, while a human still oversees everything for compliance and makes the final call. That frees the recruiter or hiring manager to actually connect with the candidate they're about to hire. The biggest advantage is humans get more time for that human to human connection.

How do candidates feel being interviewed by an AI, and does Zelly present herself as AI?

We always let candidates know upfront they're being interviewed by AI. They usually start with arms folded and shoulders stiff, but by the second question they relax because Zelly never judges, she's just a cheerleader saying keep going. Second language English speakers especially loved it because Zelly infers meaning instead of asking them to repeat themselves. By the end they forget it's AI and often thank her and wish her a nice day.

You've published numbers like 52% faster time to hire and 38 hours saved per hire. Which number do buyers actually move on?

Buyers move on time saved. Hiring normally takes about 45 days, and good candidates get ghosted or poached by another company simply because nobody responded in time. With Zelly, twenty five candidates can apply, get scored, ranked and pre-screened within the first thirty minutes. Zelly also probes beyond a resume that's been polished by AI to match the job description, surfacing real experience the paper doesn't show.

AI recruitingAI coworkershiring automationcandidate experiencefuture of workHR tech

Denver Naidoo

Founder, Zeligate

Building something daring? Sunny talks to founders like this every day. Fifteen minutes to see if your story belongs on the stage.

Claim your pre-interview
Built with help from AI. We use AI tools to research, draft, and assemble pages like this one. A human reviews everything, but if something looks off, tell us and we will fix it fast.