AI hiring agents that automate recruiting on top of existing ATS systems
MakiPeople builds AI agents that run enterprise hiring from application to hire decision, layered over a company's existing ATS. The stack pairs Python, Go and PyTorch with GPT-4, DeepSeek, BERT and Hugging Face, plus a modern data layer of dbt, Airflow, Snowflake and BigQuery. Hiring is accelerating across France and the US, with security work focused on certifications and protecting voice AI services, a sign of enterprise-readiness pressure.
MakiPeople, founded in 2021 and headquartered in New York City, develops AI agents that automate high-volume hiring workflows for enterprises, staffing firms and RPOs. The product sits on top of existing applicant tracking systems rather than replacing them, handling screening and evaluation steps through to the hire decision. The company is privately held with 51-200 employees and recruits in France and the United States. Its engineering runs on GCP with TypeScript, React, GraphQL and PostgreSQL, while go-to-market operations use HubSpot, Salesforce and Lemlist.
MakiPeople uses Python, Go, TypeScript, React, GraphQL and PostgreSQL on GCP, with AI tooling like GPT-4, OpenAI API, DeepSeek, BERT, PyTorch and Hugging Face, plus dbt, Airflow, Snowflake and BigQuery for data.
MakiPeople is headquartered in New York City, New York, and hires in both the United States and France.
Yes, hiring is accelerating across engineering, sales, data, security and support, with a mix of intern, mid, senior and manager-level roles in France and the US.
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MakiPeople's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.