AI-powered intelligence platform for law enforcement and security agencies
TRG builds operational intelligence software for law enforcement and intelligence agencies. The tech stack reveals a mature, production-hardened infrastructure: Kubernetes + Docker + AWS for orchestration, Prometheus + Nagios for observability, and a polyglot backend (Java/Spring, Python, Perl) paired with graph databases (Neo4j, ArangoDB) and search (Elasticsearch). Active development of LLM deployment infrastructure and multi-agent systems signals a shift toward AI-native capabilities, while hiring concentration in engineering (8 of 17 roles) and pain points around ML model scaling and cost optimization indicate the company is scaling an AI-first product roadmap.
TRG, founded in 2017 and based in Cyprus, develops AI-driven operational intelligence solutions for law enforcement, security, and intelligence agencies globally. The platform combines data fusion, big data analytics, and investigative tools to help analysts process evidence faster and solve cases more efficiently. With 51–200 employees across engineering, product, and sales teams, TRG operates in a regulated market serving government and public-sector customers. Active hiring spans Europe, the Middle East, and broader regions, reflecting international customer presence and operational expansion.
Java/Spring Framework, Python, Kubernetes, Docker, AWS, MongoDB, Elasticsearch, Neo4j, ArangoDB, Redis, Prometheus, Nagios, Jenkins, GitLab, Terraform, Ansible, and LLaMA/Mistral for LLM deployment.
Multi-agent systems, LLM deployment infrastructure, AI-driven testing, CI/CD for model training, web-based microservices, and system performance monitoring for intelligence operations.
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