echoloc

CluePoints Tech Stack

AI-powered risk and data quality oversight for clinical trials

Software Development Avenue Albert Einstein 2A, Louvain-La-Neuve 201–500 employees Founded 2012 Privately Held

CluePoints builds AI-driven risk assessment and data quality software for clinical trial operators, grounded in Python, Java, and ML (TensorFlow, PyTorch) running on Azure and Kubernetes. The stack reveals a data-heavy, infrastructure-conscious engineering organization — they're actively investing in CI/CD templating, developer infrastructure, and data pipeline optimization, indicating maturation beyond initial product-market fit. Hiring velocity has slowed but remains focused on engineering and senior talent, with notable gaps in leadership around revenue scaling (sales and commercial roles represent smaller cohorts).

Tech Stack 77 technologies

Core StackPython Java C# C++ RabbitMQ Salesforce Databricks MySQL MongoDB Docker Kubernetes TensorFlow PyTorch Linux Azure AD SQL NoSQL ZeroMQ WebSockets Excel Parquet Azure Git Windows macOS Microsoft 365 Windows 365 Jira Service Management JAMF Azure Web Application Firewall+46 more

What CluePoints Is Building

Challenges

  • Scalability of data pipelines
  • Optimizing monitoring resources
  • Trial efficiency
  • Risk-based monitoring
  • Expanding enterprise engagements
  • Ensuring data quality in clinical trials
  • Monitoring data integrity
  • Compliance with tax regulations across multiple jurisdictions
  • Operational playbook
  • Driving sustained revenue growth

Active Projects

  • Risk assessment and kri definition
  • Platform implementation
  • Technical roadmap for data systems
  • Developer infrastructure optimization
  • Shared ci/cd pipeline templates
  • System updates testing
  • Flagship programs
  • International commercial contract drafting
  • Continuous improvement and knowledge sharing
  • Drive high-value enterprise partnerships

Hiring Activity

Decelerating40 roles · 7 in 30d

Department

Engineering
13
Support
7
Sales
5
Data
4
Product
3
Design
2
Executive
2
Finance
2

Seniority

Senior
24
Mid
7
Director
3
Lead
3
Manager
3

Notable leadership hires: Chief of Staff, Key Account Director

Company intelligence

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

Get started free

About CluePoints

CluePoints operates in regulated clinical trial oversight, providing software that applies statistical monitoring and machine learning to detect quality and integrity issues in trial data during and after studies. The product is designed to align with FDA, EMA, ICH, and MHRA guidance and covers central monitoring, on-site monitoring, and medical review workflows. Founded in 2012, the company operates from Belgium with a 201–500-person team distributed across Belgium, the UK, US, and Poland. Current priorities include scaling data pipeline capacity, expanding enterprise customer relationships, and improving trial operational efficiency within a risk-based monitoring framework.

HeadquartersAvenue Albert Einstein 2A, Louvain-La-Neuve
Company Size201–500 employees
Founded2012
Hiring MarketsBelgium, United Kingdom, United States, Poland

Frequently Asked Questions

What technology stack does CluePoints use?

CluePoints builds on Python, Java, C#, and C++ with ML frameworks (TensorFlow, PyTorch). Infrastructure runs on Azure (Kubernetes, Web Application Firewall) with MySQL, MongoDB, and Databricks for data. Message queues include RabbitMQ and ZeroMQ.

Where is CluePoints headquartered and hiring?

Headquartered in Louvain-La-Neuve, Belgium. Currently hiring across Belgium, United Kingdom, United States, and Poland, with 41 active roles focused on engineering (13 open), support (7), and sales (5).

What are CluePoints' main product focus areas?

Risk-based quality management (RBQM) and data quality oversight for clinical trials. Core areas include central statistical monitoring, risk monitoring, and data integrity assurance aligned with regulatory guidance from FDA, EMA, ICH, and MHRA.

Similar Companies in Software Development

Other companies in the same industry, closest in size