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MakiPeople Tech Stack

AI agents for autonomous hiring workflows and talent intelligence

Software Development New York City, New York 51–200 employees Founded 2021 Privately Held
makipeople.com LinkedIn

MakiPeople builds autonomous AI agents embedded in HR workflows, not standalone tools. The stack—TypeScript + Python + PostgreSQL on GCP, with GPT-4, BERT, DeepSeek, and PyTorch for model work—reflects a company shipping production AI at scale. Projects around psychometric calibration, bias/fairness analysis, and LLM scoring evaluation reveal a focus on making hiring decisions measurable and defensible, not just faster. Support-heavy hiring (7 of 17 roles) alongside research (3 roles) suggests Maki is scaling customer success and model robustness in parallel, a pattern typical of early-stage AI products hitting adoption friction.

Tech Stack 28 technologies

Core StackTypeScript Python PostgreSQL React GraphQL ClickUp Intercom Slack HubSpot Salesforce BigQuery Snowflake dbt Apache Airflow Looker Metabase n8n PyTorch Hugging Face GCP Shiro Notion Lemlist GPT-4 BERT DeepSeek OpenAI API Poetry

What MakiPeople Is Building

◆Challenges

  • Inefficient recruitment processes
  • High turnover
  • High time-to-hire
  • Predictive analytics for retention
  • Model performance monitoring
  • Bias and fairness in ai scoring
  • Achieving security certifications
  • Complex tickets from recruiter clients
  • Scalable and efficient service
  • Optimizing scoring precision and efficiency

▲Active Projects

  • Predictive analytics for retention
  • Help center content management
  • Bias and fairness analysis
  • Llm scoring evaluation
  • Automation projects for care workflows
  • Security tooling in ci/cd and iac
  • Psychometric model evaluation and calibration
  • Semantic and embedding model benchmarking
  • Code analyses and intrusion tests
  • Ai security for voice ai services

Hiring Activity

Accelerating15 roles · 9 in 30d

Department

Support
7
Research
3
Marketing
2
Sales
2
Engineering
1
Security
1

Seniority

Intern
6
Senior
5
Mid
4
Manager
1
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About MakiPeople

Maki is an AI-powered HR platform founded in 2021 that automates talent workflows by embedding autonomous agents into recruiting and talent management. The product targets mid-market and enterprise HR teams dealing with fragmented screening, scheduling, and coordination tools. Maki captures unstructured talent signals—CVs, interview data, performance outcomes—and compounds them into predictive models for hiring, retention, and mobility decisions. The company operates across the United States, France, and the United Kingdom, with 51–200 employees based in New York City.

HeadquartersNew York City, New York
Company Size51–200 employees
Founded2021
Hiring MarketsUnited States, France, United Kingdom

Frequently Asked Questions

What AI models does MakiPeople use?

MakiPeople uses GPT-4, BERT, and DeepSeek for language understanding, PyTorch for model training, and Hugging Face for pre-trained transformers. They also employ ClickUp, n8n, and Apache Airflow to orchestrate agentic workflows.

What does MakiPeople work on?

Active projects include predictive retention analytics, bias and fairness in AI scoring, psychometric model calibration, LLM evaluation, semantic embedding benchmarking, and security tooling (CI/CD, IaC). They also focus on voice AI security and automation for care workflows.

How this profile is built

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.