Travel ERP platform integrating AI agents and LLM-powered workflows
Travel Booster operates a 30-year-old travel ERP for agencies and tour operators, now shifting toward AI-native capabilities. The tech stack reveals a modern cloud-first architecture (AWS, Kubernetes, microservices) paired with aggressive LLM adoption (OpenAI, Azure OpenAI, Hugging Face) and emerging agent orchestration (MCP integrations). Active projects center on AI agents for automation and context-aware workflows—a pivot from pure booking/financial infrastructure toward intelligent decision-making layers. Pain points around legacy pipeline stability and complex project prioritization suggest they're navigating the technical debt of modernization while building new AI surfaces.
Travel Booster by Galor provides enterprise resource planning and booking software to travel agencies, tour operators, and airline vacation companies. The platform handles financial management, reservations, inventory, e-commerce, and revenue recognition across customizable currencies, languages, and integrations with external content providers. Based in Tel Aviv with 51–200 employees, the company operates a support-heavy organization (matching the mature customer base) with a focused engineering team concentrated on platform modernization and AI feature development.
Core infrastructure: AWS (EKS, Lambda, RDS, DynamoDB), Kubernetes, Docker. Languages: C#, TypeScript, JavaScript, Python. Data/search: Elasticsearch, OpenSearch, DynamoDB, ElastiCache. Recently adopting OpenAI, Azure OpenAI, Hugging Face, MCP, and Terraform/CloudFormation for infrastructure.
Primary focus: LLM-powered features, AI agent creation and orchestration, MCP-based integrations for context-aware workflows, and ephemeral preview environments. Also addressing legacy pipeline stabilization and cloud cost optimization.
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