The Aggregator tool has been updated with two new data sources. OpenSanctionsDB is a database that consolidates information on sanctions lists, politically exposed persons (PEPs), and entities involved in corruption schemes, financial crimes, and sanctions evasion. Integrating OpenSanctions provides the system with more comprehensive and structured datasets compiled from official sources worldwide. In turn, this enables more effective detection of links between individuals and organizations during investigations. The second integrated source remains undisclosed.

The launch of our private, custom-deployed instance of CVAT.ai — a powerful, open-source annotation tool designed for computer vision teams. This marks a significant step in streamlining our data labeling workflows for machine learning and AI model development.

• Secure and Role-Restricted. Built with security at the forefront, our deployment restricts access to only authorized project personnel. Whether you’re an annotator, reviewer, or admin, the system is tailored to your role and responsibilities.
• Project-Focused Precision. Each annotation task is linked to a clearly defined project structure, allowing for organized collaboration, consistent labeling schemas, and targeted performance metrics.
• Custom Tooling for High-Quality Results. From polygons to segmentation masks, our instance supports all critical annotation types. We’ve also integrated project-specific labeling schemas to align with our training data requirements.
•  Productivity Meets Oversight. Annotator activity is tracked in real-time, and all annotations are versioned and auditable. This means better oversight, fewer errors, and higher-quality data to feed into our ML pipelines. 
• Built for Scale and Integration. With full API access and webhook support, our CVAT instance connects smoothly with the rest of our AI infrastructure, ensuring annotation tasks can be automated and scaled as needed.

This launch reflects our continued investment in secure, scalable, and smart infrastructure to support advanced AI development. By combining CVAT’s flexibility with our team’s expertise, we’re pushing the boundaries of what’s possible in machine learning workflows.

Our community, which brings together OSINT professionals and volunteers, is open to new partners! We welcome collaboration with civil society organizations as well as individuals who share our values and are ready to contribute to our common mission.

How to get involved:

1. Application — briefly tell us about yourself and your motivation
2. Questionnaire — helps us understand your skills, interests, and experience
3. Interview and screening — a conversation to determine how you can contribute
4. Reference check — we verify applicants through recommendations
5. Training or test assignment — depending on the area of engagement

We value competence, responsibility, and motivation. If you’re ready to work with us in a structured and professional way — submit your application, and we will get in touch.

The SHUM team is working on building infrastructure to support OSINT research, and one of the internal solutions is a leak aggregator. This is a web-based tool that allows users to query data from leak databases and perform comparative analysis across different sources.

The practical value of this tool lies in providing analysts with a reliable way to verify information from various leaks while staying within operational budget constraints. It helps centralize access to data and enables fast cross-checking without the need for multiple individual subscriptions or time-consuming manual comparisons.

A team of specialists from the international OSINT community is launching the SHUM project. SHUM is a public organization whose goal is to use OSINT (Open Source Intelligence) technologies to investigate crimes in the armed conflict initiated by Russia against Ukraine, as well as to consult law enforcement and judicial authorities, combat disinformation, and participate in projects aimed at protecting human rights. A team of specialists from the international OSINT community is launching the SHUM project. SHUM is a public organization whose goal is to use OSINT (Open Source Intelligence) technologies to investigate crimes in the armed conflict initiated by Russia against Ukraine, as well as to consult law enforcement and judicial authorities, combat disinformation, and participate in projects aimed at protecting human rights.