Financial planning and management cloud for enterprise decision-making
Loglass consolidates fragmented financial and operational data into a single management platform. The stack—Salesforce, Kotlin, Spring Boot, React, Next.js, AWS, and Aurora—supports a SaaS architecture built for scale. Active adoption of ChatGPT and Claude, combined with planned AI/ERP implementation and BDD methodology rollout, signals a shift toward AI-assisted financial workflows; simultaneously replacing Excel indicates modernization of legacy planning practices. Hiring velocity skews heavily toward sales (111 roles) relative to engineering (57), reflecting a sales-led expansion phase.
Notable leadership hires: Development Lead, Global Development Head, Sales Director, Marketing Lead, Sales Head
Loglass operates a financial management and planning cloud targeting mid-market and enterprise companies across Japan and Southeast Asia. The platform unifies dispersed budget, forecast, actuals, and KPI data across an organization to streamline planning cycles and improve decision velocity. Built on Kotlin and Spring Boot microservices deployed on AWS, the product integrates with Salesforce for CRM workflows. The company maintains active hiring across sales, engineering, and product; current challenges center on scaling the sales organization, managing rapid business expansion, and onboarding implementation-heavy customers. Future roadmap includes AI/ERP capabilities and business process redesign tooling.
Backend: Kotlin, Spring Boot, Rust, Go, Python, Java. Frontend: React, Next.js, TypeScript. Cloud: AWS (Fargate, ECR, Aurora). Integrations: Salesforce, Slack. Observability: Datadog, Sysdig. GenAI: OpenAI, Anthropic.
Primary initiatives: AI/ERP implementation, new business product launch, planning platform development, and sales strategy (ABM, account planning, sales enablement). Also designing onboarding programs and improving team productivity.
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