Teaching machines to interview - fairly, consistently, and at enterprise scale.
impress.ai's logo, photographed for the record. Founded in Singapore in 2017 as Ideatory Pte. Ltd., the company builds conversational AI that runs structured job interviews for some of Asia's largest employers.
Every year, corporate recruiters drown in the same problem: too many applicants, too little time, and hiring decisions shaped by gut feeling as much as merit. impress.ai's answer is deceptively simple - hand the first round to a machine that asks everyone the same structured questions, scores them consistently, and hides the details that tend to bias human reviewers.
Launched in Singapore in 2017 under the legal name Ideatory Pte. Ltd., impress.ai is an enterprise SaaS platform that automates the recruitment workflow from end to end - sourcing, screening, assessment, engagement and onboarding. Its conversational bots conduct competency-based interviews built on techniques from industrial-organizational (I/O) psychology, engaging and shortlisting candidates around the clock. The pitch to a Chief Human Resources Officer is straightforward: move faster, run fewer redundant interview rounds, and make the process fairer by design rather than by good intentions.
The company was not born from a whiteboard brainstorm about "AI for HR." Its founders were, back in 2013, running a very different platform - one that helped enterprises hire data scientists. Living inside that hiring pipeline, they saw how much of recruitment was repetitive, inconsistent and quietly unfair. By 2016 the idea had sharpened into something specific: what if a machine could run a structured interview? A year later, impress.ai existed.
Figures reported by impress.ai and its customers. Client outcomes vary by deployment.
impress.ai is a no-code, self-service platform, which means talent-acquisition teams can configure their own hiring flows without engineering support. A candidate meets a conversational recruiter that asks role-relevant, competency-based questions; the platform parses resumes, scores answers against a consistent rubric, schedules interviews, and keeps applicants updated at each stage.
Crucially, the system is built to reduce bias mechanically - by withholding biasing information from human reviewers during evaluation rather than merely asking them to be fair. It plugs into the enterprise stack recruiters already use, integrating with applicant tracking and HRIS systems like Workday, SAP SuccessFactors, Taleo and Darwinbox, plus assessment vendors for technical and psychometric testing.
The bots autonomously interview, engage and shortlist candidates at scale, 24/7 - while actively fighting human bias by hiding biased information from human reviewers.
The flagship no-code SaaS that automates sourcing, screening, structured interviewing, assessment, engagement and onboarding across professional, technical, graduate, high-volume and walk-in hiring.
Conversational bots that run competency-based interviews using I/O psychology, engaging candidates 24/7 and shortlisting them consistently - the component DBS branded as "Jim".
An AI-agent orchestration layer that coordinates specialised agents across the hiring funnel, surfacing pre-interview candidate reports, question suggestions and role-fit analysis for hiring managers.
A plug-and-play version of the platform aimed at mid-market companies that want AI-powered hiring without a full enterprise rollout.
impress.ai sells to enterprise recruiters and talent-acquisition teams - organisations where the sheer volume of applicants makes manual first-round screening impractical. Since launch it has brought on some of the region's most recognisable names.
Singtel's HR team used the platform to run multi-stage assessments on a single chat-based interface and to hand repetitive, manual tasks to automation, reporting similar time savings that let recruiters focus on higher-value work.
Holds a PhD in AI agents from Nanyang Technological University, Singapore. Leads the company's push from a Southeast Asian leader toward a global player in recruitment automation.
Co-founder overseeing operations, bringing the team's blend of AI, computer science and I/O psychology to enterprise delivery.
Part of the founding trio whose earlier work helping companies hire data scientists led directly to impress.ai.
The future founders build a platform to help enterprises hire data scientists, and get a close-up view of recruitment's pain points.
The team lands on a sharper idea - using machines to conduct structured interviews and fix problems facing both HR and jobseekers.
Ideatory Pte. Ltd. launches impress.ai as a no-code AI recruitment platform in Singapore.
impress.ai builds DBS Bank's virtual recruiter and closes a US$1.2M seed round led by Reapra.
Raises roughly US$3M to deepen the platform and expand its enterprise footprint in the region.
Closes a Series A led by Javelin with Reapra and Seeds Capital, with plans to double down on Indonesia and Southeast Asia.
Introduces an AI-agent orchestration layer and a plug-and-play product for mid-market companies.
The Series A was framed less as a growth-at-all-costs raise and more as a regional deepening - the company signalled it would concentrate on Indonesia and the wider Southeast Asian market rather than expand thinly everywhere at once.
Recruitment technology is busy: applicant tracking systems, AI screening tools, and conversational-hiring platforms such as HireVue, Paradox, Eightfold.ai and Sense all compete for the enterprise HR budget. impress.ai's differentiation is less about having a chatbot - many do - and more about what the chatbot is doing. Rather than simply collecting answers through a friendly interface, it runs consistent, structured, competency-based interviews and scores them, drawing on I/O psychology rather than conversational polish alone.
Its second distinguishing bet is fairness as a mechanism. Bias-free hiring is a claim nearly every vendor makes; impress.ai operationalises it by withholding biasing information from reviewers during evaluation. Combined with deep integrations into existing enterprise systems and a no-code setup, the company positions itself as infrastructure that slots into a recruiter's day rather than a tool that demands a new workflow.
It provides a no-code, AI-powered SaaS platform that automates recruitment - sourcing, screening, structured interviewing, assessment, engagement and onboarding - for enterprises and government agencies.
It was founded in 2017 in Singapore (as Ideatory Pte. Ltd.) by Vaisagh Viswanathan, Amrith Dhananjayan and Sudhanshu Ahuja. Vaisagh Viswanathan is CEO and Amrith Dhananjayan is COO.
Named enterprise customers include DBS Bank, Singtel, Accenture, the National University of Singapore and Singapore government agencies.
It runs consistent, structured, competency-based interviews grounded in I/O psychology and hides biasing information from human reviewers during evaluation.
Around US$10M in total - a US$1.2M seed (2018), a roughly US$3M pre-Series A (2021) and a US$6M Series A (July 2023), backed by Reapra, Seeds Capital and Javelin.