Fluencyfox
FluencyFox is an AI-powered assessment platform that lets employers evaluate candidates' practical AI fluency through recorded, real work tasks. Candidates complete a job-relevant assignment using their preferred AI tools while the platform captures their screen, audio, and submitted work, then scores their performance against a published framework. The platform scores three dimensions—solution quality, communication, and AI collaboration—with results that are advisory only and always reviewed by a human decision-maker.
- HR Technology
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Traditional hiring processes fail to differentiate between candidates who are genuinely skilled at using AI and those who are just starting out, as CVs and interviews only capture surface-level claims about AI proficiency. A conversation can only test how someone talks about working with AI, not how they actually perform with it, leaving employers with an incomplete picture of a candidate's true capabilities.
Solution
FluencyFox provides an AI-powered assessment platform that lets employers invite candidates to complete a recorded, practical work task using whatever AI tools they prefer. Candidates record their screen, audio, and submitted work while they solve a real problem, giving employers a direct view of their workflow and thought process. The platform uses AI to transcribe and score the recorded response against a client-defined evaluation framework, covering the submitted work, AI tool interaction, and spoken communication. Scores are generated across weighted dimensions and combined into a single overall score, which is advisory only and always reviewed by a human decision-maker. The platform deliberately avoids using candidate identity or demographic information in scoring, and tests its rubric annually for adverse impact across protected characteristics. Employers receive the recording, transcript, and score, enabling a more personable and evidence-based hiring decision.
Target Audience
Primary customers are employers, recruiters, and hiring teams who need to evaluate candidates' practical AI fluency and problem-solving abilities beyond what CVs and traditional interviews reveal. The platform also serves organizations looking to assess AI fluency across existing teams for internal development.
Features
- Recorded assessment capturing video, audio, and screen activity as candidates complete a real work task with their chosen AI tools
- AI-assisted transcription and scoring powered by OpenAI and DeepInfra, evaluated against a client-defined rubric with weighted dimensions
- Scoring that covers submitted work, AI tool interaction, and spoken communication, combined into a single overall score
- Human-in-the-loop design where scores are advisory and hiring decisions are made by a human reviewer, not automated
- Bias mitigation measures including no identity or demographic data in scoring, and annual adverse-impact testing across sex, ethnicity, age, disability, and accent
- Scoring framework based on the 4Ds of Anthropic's AI Fluency Framework: Delegation, Description, Discernment, and Diligence
- Mapping scores to UNESCO, SFIA, OECD AI Literacy, and EU DigComp frameworks
- Factor-level score breakdowns available to clients on request, with data hosted in the UK/EU and processed under OpenAI's EU data residency setting
- Chaptered video replay allowing reviewers to jump to key decision moments
- ATS integration with single-use candidate links and automatic score feedback
- Built-in AI assistant (Maya) for candidates during assessments