What challenges did Maki face before AI implementation?

Traditional HR teams cannot review rapidly growing applicant volumes. Interviews suffer from subjective bias, so Maki needed a fair, objective, scalable assessment process with cheating prevention integrated into clients’ applicant tracking systems.

What was the impact of the AI solution?

The platform automates interviews and objective scoring at scale. It processed over one million applications in less than five days while remaining stable. It is used by more than 100 organizations worldwide and supports over 40 languages. The company reports cost optimization from serverless, request-level scaling and operational efficiency from managed services.

Rank#319of 3,107

Source

GCP

Maki: AI automated interviews for recruitment using Vertex AI + Gemini Vision

Use case typeRecruitment automationUpdated 2 days ago

Maki, a recruitment technology company, built a real-time conversational interview platform on Google Cloud to help HR teams handle rapidly growing applicant volumes with fair, objective, scalable assessments and cheating prevention integrated with clients’ ATS. The platform conducts and adapts structured interviews, applies psychometric scoring, and uses Gemini Vision for fraud and anomaly detection while operating on serverless infrastructure for elastic scale.

Organization: Maki
Industry: Professional Services
Location: France
Published: July 2026

Reported outcomes

1,000,000 applications

applications processedTime & speed

Strategic outcomes

Cost efficiencyAutomated interviewing and objective scoring at scaleCustomer experience & trustMore equitable candidate assessmentScale & capacityHandled massive recruitment campaigns without overloadRisk & complianceStable platform under extreme loadMarket & geographic expansionSupport for worldwide multilingual deployments

Primary read

Use case focus

Showing 2 of 2

1Recruitment automation
2Fraud detection

Traditional HR teams cannot review rapidly growing applicant volumes.
Interviews suffer from subjective bias, so Maki needed a fair, objective, scalable assessment process with cheating prevention integrated into clients’ applicant tracking systems.

Maki built a real-time conversational agent to conduct and adapt structured interviews.
Psychometric models score candidate reasoning, argumentation, and learning ability.
Gemini Vision verifies that candidates are alone and detects suspicious behavior or visual anomalies.
The architecture uses Cloud Run and Vertex AI for serverless execution, model orchestration, rapid experimentation, and deployment.
Cloud SQL, Cloud Storage, Cloud Logging, and Cloud Monitoring support security, multimedia storage, observability, and compliance.

Technologies

Vertex AI Gemini Cloud Run Cloud SQL Cloud Storage Cloud Logging Cloud Monitoring

The platform automates interviews and objective scoring at scale.
It processed over one million applications in less than five days while remaining stable.
It is used by more than 100 organizations worldwide and supports over 40 languages.
The company reports cost optimization from serverless, request-level scaling and operational efficiency from managed services.

Architecture

Maki structured its architecture around Cloud Run and Vertex AI. Cloud Run provides request-level serverless elasticity for real-time interviews, while Vertex AI orchestrates open-source and Gemini-based models. Cloud SQL supports data availability, Cloud Storage stores multimedia interview content, and Cloud Logging/Cloud Monitoring provide observability and performance optimization.

Sources & evidence1

Groundedness: 5/5Type: Customer StoryPublished: Jul 11, 2026Publisher: Google CloudEvidence: PrimaryConfidence: High

Primary source

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Customer evidence