Adaface is a skills-assessment platform that screens candidates through a conversational AI chatbot named Ada instead of a cold, timed exam. If you're doing high-volume technical hiring and want a friendlier, harder-to-game first round, it's one of the better-built tools in the category — and it's genuinely worth a look.

Adaface was founded in 2018 in Singapore by Siddhartha Gunti and Deepti Chopra, who started from a simple frustration: the traditional take-home coding challenge and the first-round phone screen are both broken — one wastes the candidate's weekend, the other tells you little. The company incorporated in May 2018 and was profitable within its first year, and it has grown into a widely adopted platform used by 1,200+ companies across 80+ countries, with offices in Singapore and Bengaluru (adaface.com, about-us, asianentrepreneur.org). Its customer list includes names like Amazon, Morgan Stanley, EY, Adidas, Vodafone, PayPal, Microsoft, and Deloitte (adaface.com).

The core idea is conversational. Rather than dropping a candidate into a blank timed test, Adaface's chatbot Ada walks them through the assessment like a guided interview, which lowers test anxiety and improves the experience on the candidate's side. Tests generally run 30 to 45 minutes and pull from a library of 500+ ready-made assessments covering 35+ programming languages, 20+ frameworks, cloud skills, cognitive ability, personality, business skills, typing, and finance (online-assessment-platform). The metric Adaface leads with is time saved. Its questions are designed to be "non-googleable" — scenario-based rather than trivia — and customers report large cuts in screening effort, including a Singapore Government case study citing an 85% reduction in screening time (adaface.com). To protect integrity at that volume, Adaface bundles a proctoring suite: AI cheating detection, IP proctoring, web proctoring, and webcam proctoring (online-assessment-platform).

The candidate experience is real, not marketing. A conversational format genuinely lands better than a stark countdown-timer test, and for teams that care about employer brand while rejecting most applicants, that matters. The library breadth is hard to beat. 500+ assessments spanning 35+ languages and 20+ frameworks means most roles have a relevant test off the shelf, and you can mix skills, upload your own questions, and brand the experience. It's built for volume. The whole design — automated first round, guided flow, proctoring at scale — is aimed at teams filtering many applicants down to a shortlist fast. That's exactly the job it does well. It's an established, stable vendor. Six-plus years in, 1,200+ paying companies, blue-chip logos, and a bootstrapped-to-profitable history mean you're not betting on a tool that disappears next quarter.

Adaface is a filter, and it's excellent at being one — but knowing where a filter ends helps you plan the rest. It ranks the applicants you already have. A test measures the people who show up and take it. It's a strong way to sort inbound and sourced candidates; it isn't a channel that brings you engineers you didn't already have in the funnel. A score is a signal, not a hire. A high assessment result tells you someone answered well under proctored conditions. Turning that into a working, employed engineer — reference checks, offer, contract, payroll, onboarding — is still on your team. "AI-native" is a working style, not a test answer. Whether someone actually builds well with modern AI tooling day to day is something you tend to learn by watching them work, more than from a timed assessment. That's a fit question worth confirming separately.

Here's the honest gap a test can't close. The best AI engineers usually aren't in an applicant pool taking an assessment. The ones you actually want are already working — booked on a contract somewhere else, heads-down on hard problems, not browsing openings and not filling out a 40-minute screen. A tool like Adaface can only rank the people who showed up. It can't reach the ones who never will. Nextdev reaches the top 1% of AI engineers — the ones who aren't looking. We find them, then we give each a real problem to build and watch how they actually work. So you know they're AI-native because you've seen it, not because a chatbot scored them well. And when you want one, we employ them for you: one named engineer, ready to go. The contract, payroll, and compliance never touch your desk. That's the difference in burden. Adaface hands you a ranked list and leaves the verifying and the employing to you. We hand you a person who's already been proven and is already on payroll. You're not picking from who signed up. You're getting the engineer who never would have.

Adaface is a genuinely good assessment platform — well-designed, broad, proven, and kinder to candidates than most of the category. If your problem is "I have too many applicants and need a fair, fast, hard-to-game first round," it's a smart buy and does that job as well as anyone. If your problem is "I need a top-tier AI engineer working on my product, verified and employed, and the ones I want aren't applying," that's a different problem — and it's the one Nextdev exists to solve.