CluePoints | Company Profile - Revenue, Headcount, Tech Stack, Contacts
Company Directory for CluePoints
CluePoints
Overview
CluePoints is a provider of AI-driven, cloud-based software focused on Risk-Based Quality Management (RBQM) and data quality oversight in clinical trials. Founded in 2012 and based in Louvain-la-Neuve, Belgium, the company utilizes advanced statistics, machine learning, and natural language processing to ensure the integrity of clinical trial data. It is known for its patented SMART™ Engine, which enables unsupervised anomaly detection, and offers a comprehensive SaaS platform supporting risk identification, issue tracking, and quality risk management.
The platform features several key tools, including a Central Monitoring Platform for real-time analytics, a Risk Assessment & Categorization Tool for pre-study planning, and the Site Profile & Oversight Tool (SPOT) for site-level oversight. CluePoints serves pharmaceutical and biotech companies, contract research organizations, and academic institutions. In 2024, it was acquired by EQT Growth, strengthening its AI innovations for clinical trials.
Basic Information
| Industry | information technology & services |
|---|---|
| Founded | 2012 |
| Revenue | 28M |
| Headquarters | 2a Avenue Albert Einstein, Ottignies-Louvain-la-Neuve, Walloon Region, 1348, Belgium |
| Languages | English |
| Parent Organization | EQT AB |
Contact Details
- Phone: +32 10 77 89 10
- Website: cluepoints.com
- LinkedIn: linkedin.com/company/cluepoints
Key Focus Areas & Initiatives
- Risk-Based Quality Management (RBQM) in clinical trials
- AI-driven data anomaly and discrepancy detection
- Central statistical monitoring for data integrity
- Predictive analytics and machine learning for risk assessment
- Regulatory compliance and quality oversight
- Customizable dashboards and real-time study analytics
- Support for pharmaceutical, biotech, and contract research organizations
Technologies Used
- AI
- Akamai Connected Cloud (formerly Linode)
- Android
- Atlassian Cloud
- Azure AI Search
- Azure Analysis Services
- Azure Data Factory
- Azure Devops
- Azure Key Vault
- Azure Logic Apps
- Azure SQL
- DAX
- Databricks
- Docker
- Eclipse
- Elastic APM
- Figma
- Git
- GitHub Actions
- GitHub Copilot
- GitLab
- Grafana
- Hubspot
- Javascript
- Jenkins
- Kubernetes
- LangGraph
- Langchain
- Microsoft 365
- Microsoft Azure
- Microsoft Azure Monitor
- Microsoft Office 365
- NTENT
- NeMo
- NetSuite
- OpenAI
- OpenTelemetry
- Outlook
- Phoenix
- Pinecone
- Playwright
- Power BI Documenter
- Power Query
- PowerBI Tiles
- Prometheus
- Python
- Remote
- SQL
- Salesforce
- Sendgrid
- SentryOne SQL Sentry
- Slack
- Teamwork.com
- TypeScript
- WP Engine
- Zendesk
Buyer Teams to Target
Clinical Operations & Data Science
- Director of Clinical Operations
- Clinical Data Manager
- Head of Data Science
- Clinical Trial Manager
- Medical Data Analyst
- Clinical Project Lead
Product & Engineering
- VP of Engineering
- Lead Software Engineer
- Director of Product Management
- DevOps Engineer
- AI/ML Engineer
- Product Owner
Regulatory Affairs & Quality Management
- Head of Regulatory Affairs
- Quality Assurance Manager
- Compliance Specialist
- Regulatory Submissions Manager
- Risk Management Lead
- Quality Systems Analyst
Business Development & Partnerships
- Business Development Director
- Strategic Partnerships Manager
- Key Account Executive
- Commercial Strategy Lead
- Pharma Solutions Specialist
- Client Success Manager
What They Buy
- Clinical trial data management platforms
- AI/ML solutions for healthcare analytics
- Cloud-based infrastructure and hosting services
- Regulatory compliance management tools
- Risk-based monitoring and quality management systems
- Statistical analysis and visualization software
- Collaboration and project management platforms
Signals to Watch
- 📢 Announcements of new pharma or CRO partnerships
- 🚀 Launch of major new clinical trial platforms or features
- 🧑💼 Openings for data science, analytics, or clinical leadership roles
- 💸 News of acquisitions, funding, or investment by the parent organization
- 📑 Updates in regulatory guidance impacting clinical operations
- 🔄 Adoption of new AI/ML or cloud technologies