.png)
Challenge
A major European defense consortium faced an unprecedented challenge in coordinating AI model training across multiple partner organizations for critical defense applications. The complexity extended far beyond typical commercial AI projects, requiring seamless coordination across diverse operational environments and stringent security protocols.
Multi-Partner Complexity: The project involved over 8 EU partner organizations, each operating with distinct data standards, formats, and security requirements. With more than 30 stakeholders spanning various organizations and classification levels, traditional project management approaches proved inadequate for the scale and sensitivity of the initiative.
Security Infrastructure Demands: The consortium required multiple parallel security setups to accommodate varying classification levels across partner organizations. Each partner operated within different security frameworks, from public cloud environments to air-gapped systems, necessitating a flexible yet robust infrastructure approach.
Specialized Workforce Requirements: Finding personnel with both technical annotation expertise and military subject matter knowledge presented a significant challenge. The project demanded annotators capable of accurately identifying and classifying military-specific objects across diverse data modalities while maintaining the highest security standards.
Operational Complexity: Large-scale annotation requirements across heterogeneous data volumes demanded sophisticated project management capabilities. The consortium needed comprehensive reporting and visibility mechanisms to ensure alignment across multiple organizations while maintaining quality standards throughout the annotation process.
Solution
Kili Technology delivered a comprehensive AI data orchestration solution that combined expert workforce management with enterprise-grade security infrastructure, specifically designed for multi-partner defense collaborations.
Service Excellence Framework: The implementation began with deploying and training a specialized workforce equipped with military identification expertise. Kili established sprint-based project management with continuous feedback loops, enabling real-time adjustments and quality optimization throughout the annotation process.
The platform coordinated complex multi-partner operations across different data standards, ensuring seamless collaboration despite varying organizational requirements. Comprehensive quality assurance processes and stakeholder reporting mechanisms provided transparency and accountability across all participating organizations.
Multi-Level Security Infrastructure: Kili deployed the platform across 10 distinct instances to accommodate varying security requirements across consortium partners. The solution managed 3 parallel security levels: Public Cloud, UNRP, and Air-Gapped EUR environments, ensuring each partner could operate within their specific security framework without compromising project integrity.
Technical Platform Capabilities: The platform enabled processing across multiple data modalities without performance degradation. Support for 3 distinct ontologies allowed for military-specific object classification tailored to different partner requirements.
The infrastructure maintained platform robustness while handling large-scale data volumes across distributed environments, ensuring consistent performance regardless of the complexity or size of annotation tasks.
Outcome
The European defense consortium project established new standards for large-scale collaborative defense AI initiatives, demonstrating how complex multi-partner projects can be executed successfully at unprecedented scale.
Massive Scale AchievementThe project successfully annotated over 2 million military images across 4 delivery batches, representing one of the largest coordinated defense AI training datasets in European history. The initiative completed 2,000+ annotation hours while maintaining strict quality standards throughout the process.
Comprehensive Military ClassificationThe team classified 50+ military-specific objects across multiple data types including images, videos, and semantic segmentation tasks. The implementation of 3 distinct ontologies accommodated diverse partner requirements while maintaining consistency in military object identification standards.
Perfect Security RecordThroughout the entire project duration and across all classification levels, the consortium achieved zero security incidents—a critical success factor for future defense collaborations. This security achievement validated the multi-level infrastructure approach and established trust for future partnerships.
Operational ExcellenceThe sprint-based delivery model with iterative performance optimization ensured consistent quality improvement throughout the project lifecycle. Real-time project tracking provided stakeholders with comprehensive visibility into progress and quality metrics across all participating organizations.
Strategic ImpactThe project established new procedural standards for large-scale defense AI collaborations, creating a replicable framework that can be applied to future multi-partner initiatives. The successful coordination across 8 EU partners with varying data standards and security requirements demonstrates the viability of large-scale collaborative defense AI projects.
Future-Ready Infrastructure The consortium now has proven infrastructure and procedures for scaling defense AI initiatives across European partners. The established framework supports continued collaboration on advanced defense applications while maintaining the highest security and quality standards.
.png)
