echoloc

Cleo Tech Stack

AI-powered personal finance platform combining chat, budgeting, and credit products

Financial Services London, England 201–500 employees Founded 2016 Privately Held

Cleo is a consumer fintech built around an AI assistant that helps users manage money through conversational chat. The stack reflects a mature product organization: Python + PostgreSQL + Kubernetes on AWS for backend infrastructure, React Native + React for client-side, and integrated LLM calls (OpenAI, Anthropic). Active projects span secured credit products, payment optimization, and financial health coaching—signaling a shift from pure budgeting software toward a fuller suite of lending and transaction services. Hiring is accelerating across engineering and product (55 roles posted in the last 30 days), with seniority distribution skewed toward senior IC and leadership roles, indicating scaling of complexity rather than headcount-only growth.

Tech Stack 53 technologies

Core StackRuby on Rails React Native TypeScript Python PostgreSQL AWS Kubernetes Ruby OpenAI Anthropic React Google Ads Figma dbt Apache Airflow Looker Tableau CircleCI Next.js Tailwind CSS Vercel Heroku SHAP Facebook Messenger GCP Apple App Store Google App Campaigns Google Search Minitest DatoCMS+22 more

What Cleo Is Building

Challenges

  • Optimising payments transactions
  • Optimising payment success rates
  • Improving users financial health
  • Improving conversion and retention
  • Optimizing pricing and packaging
  • Balancing growth velocity with capital efficiency
  • Increasing system complexity
  • Adoption of design system
  • Monolith to modular architecture
  • Improving chatbot quality observability

Active Projects

  • Building a secured credit card
  • Chat
  • Optimising transactions within payments platform
  • Chatbot for financial health coaching
  • Dashboards and alerts for arrears detection
  • Incrementality testing framework
  • Customer risk assessment models
  • Intent classifiers for user conversations
  • Core design system
  • Automating research workflows

Hiring Activity

Accelerating120 roles · 55 in 30d

Department

Engineering
36
Product
19
Marketing
14
Data
10
Design
9
Legal
7
Finance
4
Executive
3

Seniority

Senior
48
Lead
24
Manager
13
Mid
13
Director
10
Principal
3
Junior
2
Staff
2

Notable leadership hires: Tech Lead, InfoSec Director

Company intelligence

Find more companies like Cleo by tech stack, pain points and active projects

Get started free

About Cleo

Cleo operates a mobile-first AI assistant for personal finance management, launched in 2016 and headquartered in London. The platform combines chat-based financial guidance, budgeting tools, transaction analysis, and credit products (including a secured credit card now in active development). The user base spans millions of active consumers, primarily in the UK and US. The tech footprint includes Python/Ruby on Rails backends with PostgreSQL, React Native mobile apps, and analytics pipelines using dbt, Airflow, and Looker. Recent growth has expanded the team from ~100 to 250+ employees; the company closed an $80M Series C at a $500M valuation. Current engineering focus includes payments platform optimization, chatbot quality improvement, and architectural migration from monolith to modular services.

HeadquartersLondon, England
Company Size201–500 employees
Founded2016
Hiring MarketsUnited Kingdom, United States, Portugal, Germany

Frequently Asked Questions

What tech stack does Cleo use?

Backend: Python, Ruby on Rails, PostgreSQL, Kubernetes, AWS, GCP. Mobile: React Native. Web: React, Next.js. Data: dbt, Apache Airflow, Looker, Tableau. AI: OpenAI, Anthropic integration. Deployment: CircleCI, Vercel, Heroku.

Where does Cleo hire?

Active hiring in United Kingdom, United States, Portugal, and Germany. Headquarters in London, England.

How this profile is built

Cleo'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.