Mahadhir Yunus, CEO of Krenovator
As hiring cycles shorten and competition for skilled talent intensifies, companies are reassessing how interviews are conducted and evaluated. In Kuala Lumpur, Krenovator Technology Sdn. Bhd. is positioning automation as a way to address what it sees as structural inefficiencies in recruitment, with the launch of HastyHire, an AI agent interviewer platform designed to standardise and accelerate candidate screening.
Announced in November, HastyHire is designed to automate interviews from start to finish. Employers send a link to candidates, after which the platform conducts the interview, evaluates responses against job descriptions and CVs, and produces a 360-degree hiring report that includes scores, strengths, weaknesses, and red-flag alerts. The system can be used for both technical and non-technical roles, supports more than 70 languages, and is offered on a pay-per-use basis.
For Krenovator, which provides tech talent solutions, managed IT services, and AI-driven workforce automation products, the release reflects a broader effort to embed AI into operational workflows rather than position it as a standalone tool.
The company argues that interviews, often seen as a human-centric process, are particularly vulnerable to subjectivity and inconsistency.
“Candidate screening is time-intensive and often subjective when done through conventional interviews,” said Mahadhir Yunus, CEO of Krenovator, in the product announcement. He added that HastyHire uses “measurable, data-driven outcomes that make the process more efficient and fairer”.
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According to Mahadhir, the development of HastyHire was grounded in close collaboration with recruiters rather than abstract experimentation. In an email interview with e27, he stated that the company’s product process “combines real-world recruiter insights, AI innovation, and iterative user testing,” starting with the validation of market pain points and rapid prototyping using real interview data.
HR teams across Malaysia, the Middle East, and Europe were involved during development, a move Krenovator says helped ensure the platform could be applied across different labour markets and hiring norms. Unlike tools that focus solely on post-interview analytics, the platform is designed to manage the interview flow itself, from questioning to scoring and report generation, without human intervention. Krenovator reports that existing users have seen significant reductions in screening time and costs, with interview reports generated within minutes of completion.
Mahadhir argues that this speed is not just about efficiency, but about scale. “HR teams are overwhelmed, not understaffed,” he said. “They need AI agents capable of executing HR workflow to handle repetitive tasks so they can focus on the human side of hiring.”
In this framing, automation is positioned as a support mechanism rather than a replacement for recruiters.
The company’s user base reflects this emphasis. Krenovator stated that its main users include HR teams in mid-sized to large companies, recruitment agencies, and hiring managers in technology-intensive roles. In markets such as Singapore, the Middle East, and Europe, the firm has observed that smaller HR teams use automation to compete with larger employers by maintaining hiring volume without expanding headcount.
Business model choices also reflect a cautious approach to adoption. HastyHire operates on a pay-per-use structure, where companies pay only to unlock interview reports. There are no long-term contracts or minimum volumes, a structure Krenovator believes reduces barriers for organisations with fluctuating hiring needs and allows experimentation without upfront risk.
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From a growth perspective, Krenovator is leaning on partnerships within its existing client ecosystem, complemented by content-led initiatives such as live demos, educational campaigns, and community events focused on AI in the workplace. The company has raised pre-seed and seed funding between 2020 and 2024, which it says was directed towards building engineering capability, advancing its AI models, and expanding regionally.
Looking ahead, Krenovator plans to focus on strengthening what it calls its core ecosystem: AI agent automation products, tech talent development, and managed IT services.
For Mahadhir, the guiding principle remains pragmatic. “Solve real problems with technology that delivers measurable business impact,” he said, framing sustainability and operational discipline as priorities as the company prepares for its next phase of international expansion.
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Image Credit: Krenovator
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