Blockchain-based financial services for emerging markets and underbanked populations
Humaniq operates a blockchain and biometrics-enabled financial platform targeting underserved populations in emerging economies. The tech stack reveals a dual engineering profile: Go + Ethereum on the backend paired with React + D3.js for consumer-facing analytics, supplemented by a full data science layer (TensorFlow, PyTorch, scikit-learn, Apache Airflow). The hiring mix is sales and marketing-heavy (9 of 18 roles), with accelerating velocity, suggesting aggressive user acquisition—a pattern reinforced by active projects around affiliate traffic distribution, email marketing strategy, and conversion optimization.
Notable leadership hires: Head of PR
Humaniq is a financial services provider founded in 2016 and headquartered in London, serving users in emerging markets with mobile-first banking powered by blockchain and biometric authentication. The platform combines lending, payments, and crowdfunding functionality. Active development spans token exchange backend infrastructure, a crowdfunding portal, and an analytics dashboard. The company is hiring across sales, marketing, data, and operations roles in the United Kingdom and Brazil, with a focus on junior and mid-level talent.
Go and Ethereum for backend; React, Redux, and D3.js for frontend; TensorFlow, PyTorch, and scikit-learn for machine learning; Apache Airflow and Prefect for data orchestration; Looker and Grafana for analytics dashboards.
Token exchange backend, crowdfunding portal, analytics dashboard, trading bot development, email marketing strategy, and affiliate traffic distribution systems for user acquisition in emerging markets.
Humaniq'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.