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QuantSpark Tech Stack

AI-powered analytics and decision systems for enterprise clients

Business Consulting and Services London, London 51–200 employees Founded 2015 Privately Held
quantspark.ai LinkedIn

QuantSpark builds decision-support software for large organizations, with a heavy engineering focus (5 of 6 open roles). The stack is Python-first (Flask, Django, FastAPI) on React frontends, paired with PostgreSQL and MongoDB for data. Active projects span real-time analytics for FTSE 100 companies, automated risk assessment for asset managers, and predictive maintenance pipelines for government — a pattern suggesting they're moving beyond advisory into embedded, operationalized AI systems that run inside client organizations.

Tech Stack 15 technologies

Core StackPython Flask Django FastAPI React JavaScript TypeScript GitHub Copilot Cursor PostgreSQL MySQL MongoDB Git Claude ChatGPT

What QuantSpark Is Building

◆Challenges

  • Correctness and security
  • Inventory optimisation
  • Price competitiveness
  • Predictive maintenance

▲Active Projects

  • Full-stack web features
  • Restful apis
  • Development workflows (dx)
  • Accelerate delivery with ai coding agents
  • Deliver end-to-end analytics projects
  • Real-time analytics platform for ftse 100 companies
  • Automated risk assessment system for asset managers
  • Predictive maintenance pipeline for government departments

Hiring Activity

Accelerating6 roles · 4 in 30d

Department

Engineering
5
Data
1

Seniority

Lead
2
Mid
2
Senior
2

Notable leadership hires: Engineering Lead

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About QuantSpark

QuantSpark is a London-based AI consulting and software firm founded in 2015, operating in the 51–200-person range. The company combines strategy, data science, and engineering to build decision systems for enterprise clients in retail, private equity, groceries, and financial services. Their approach centers on understanding how decisions are made and where value leaks, then delivering software that teams use operationally—rather than one-off analyses. Current project focus spans real-time analytics platforms, risk automation for asset managers, and predictive maintenance for government departments.

HeadquartersLondon, London
Company Size51–200 employees
Founded2015
Hiring MarketsUnited Kingdom

Frequently Asked Questions

What tech stack does QuantSpark use?

Python (Flask, Django, FastAPI), React/JavaScript/TypeScript on the frontend, PostgreSQL and MongoDB for data. They use GitHub Copilot and Claude for development acceleration.

What is QuantSpark working on?

A real-time analytics platform for FTSE 100 companies, automated risk assessment for asset managers, predictive maintenance pipelines for government, and full-stack web delivery with AI-assisted coding workflows.

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