Adaface

Adaface (legal name Adaface Pte. Ltd.) operates an online pre-employment assessment platform used by recruitment and talent acquisition teams to screen job candidates for on-the-job skills. Its catalogue consists of more than 500 ready-to-use tests spanning programming (35+ languages and 20+ frameworks), IT and enterprise software (SAP, Salesforce, .NET, Power BI, Dynamics 365), artificial intelligence and data science, cognitive ability (100+ aptitude tests), personality and psychometrics (including a Big 5/OCEAN test), role-specific business skills such as marketing, sales, customer service, data analysis, Excel, SQL, Scrum and project management, language proficiency (English, Spanish, French, German, Italian, Dutch, Korean), typing and data entry, and finance and accounting. Assessments are typically 30-45 minutes and are delivered with a chatbot assistant that guides the candidate through the test; the company positions its questions as scenario-based and "non-googleable" rather than puzzle- or algorithm-based [0][1][2][3][5].

Platform capabilities described by the company include bulk, email, public-link and ATS-driven candidate invites; the ability to upload custom questions, mix and match skills and monitor test health; a proctoring suite covering AI cheating detection (including detection of external tools such as ChatGPT), IP, web and webcam proctoring; automated scorecards with skills profiles, coding evaluation, comparative analysis and industry benchmarks; and integrations with Slack, Workable, Greenhouse, SuccessFactors, SmartRecruiters and a custom API, plus an MCP integration and an AI resume parser [3][4]. Assessments are tailored to a customer's job description by in-house subject matter experts drawing on a library of over 10,000 questions (stated as 10,273 non-googleable questions) [5].

A third-party company profile describes Adaface as a platform that automates the first round of interviews using a conversational AI named Ada, with a B2B subscription revenue model targeting mid-sized companies and large enterprises globally [6].

Founding story

According to a third-party company profile, the founders joined the Entrepreneur First programme in Singapore in February 2018 and incorporated Adaface in May 2018, launching the first version of the product in January 2019. The company's own account states it was started because incumbent technical assessment platforms rely on trick questions, puzzles and niche algorithms that poorly predict on-the-job performance, are stressful for candidates, and bias against experienced developers, while resume screening biases towards credentials; the founders argue interviewing every applicant is impractical at scale (e.g. 120 applicants per role), so short, role-specific skills tests are needed [2][6].

Business model

B2B software-as-a-service sold to employers' recruitment and talent acquisition teams, with a self-serve entry point (14-day free trial / free start) and published pricing; a third-party profile lists the business model as B2B with a subscription revenue stream targeting medium and large enterprises worldwide [3][4][6].

Subscription revenue from employers using the assessment platform, per a third-party company profile; the company's own site advertises a 14-day free trial and a pricing page [4][6].

Traction

The company states that 1,200+ companies in 80+ countries use the platform. Reported customer outcomes include an 85% reduction in screening time at a Singapore Government organisation and a 75%+ optimisation of initial screening at Love, Bonito; the site also claims a 30% reduction in time-to-hire. A third-party profile records milestones of becoming ramen profitable in June 2019 and closing a first Fortune 100 enterprise customer in July 2019, and lists 11-20 employees [0][1][2][4][6].

Latest developments

The website (2025) lists newer capabilities including an MCP integration, an AI resume parser, AI cheating detection able to flag use of external tools such as ChatGPT, and test categories for artificial intelligence topics such as machine learning, deep learning, LLMs, prompt engineering and LLM inference [3][4][5].