Sapia.ai uses text-based, structured interviews powered by science-backed AI scoring. Every candidate answers the same questions, scored against transparent rubrics.

Maki People, by contrast, relies on a voice-first model that introduces accent and speech-based bias.

When fairness matters, text wins.

Sapia.ai is powered by State-Of-The-Art AI models, hosted securely on AWS Bedrock, with zero data sharing. No biometric, audio, or demographic data is ever used in training.

Maki uses an open-source model, self-hosted on company GPUs. That raises red flags under GDPR and the EU AI Act, given candidate voice data qualifies as biometric personal data.

In short: Sapia is built for compliance. Maki’s approach invites risk.

Sapia.ai’s FAIR™ framework (Fair AI for Recruitment) governs every stage of model development from bias testing to explainability.

Maki’s voice-based model adds uncontrollable fairness variables like speech-to-text accuracy, prosody interpretation, and tone detection, all known sources of disparate impact under U.S. and EU guidelines.

Candidates love Sapia.ai’s chat. It’s private, untimed, and accessible, with 92%+ completion and 9/10 satisfaction across millions of interviews. Every candidate gets instant, personalized feedback, improving employer brand and engagement.

By comparison, Maki’s voice bot requires candidates to speak live over the phone to an AI agent. That adds anxiety, accessibility barriers, and accent bias. A hiring experience should be inclusive, not performative.