Glasslake is built for SAP and ERP transformation projects where security, privacy, governance, and reliability are critical.
Compliant with the most rigorous
safety and security standards
GDPR compliant
ISO 27001 compliant
SOC 2
Built for enterprise-grade transformation
Our platform helps enterprise teams and SAP teams work with sensitive project information, documentation, requirements, testing evidence, and system context in a secure and controlled environment.
Data protection by design
Glasslake applies security controls across the data lifecycle — secure transmission, encryption, controlled access, secure storage, and responsible data retention. Customer data is treated as confidential and used only to provide the services agreed with each customer.
Access control and governance
ERP projects involve multiple teams, vendors, and stakeholders. Glasslake supports role-based access controls so users only access the information and capabilities relevant to their role — enabling efficient collaboration while maintaining governance over sensitive project data.
Infrastructure and monitoring
Glasslake is built on secure cloud infrastructure designed for enterprise reliability, scalability, and resilience. We apply monitoring, access controls, vulnerability management, security reviews, and incident response processes to maintain a responsible security posture.
Your project data stays yours
Our platform helps enterprise teams and SAP teams work with sensitive project information, documentation, requirements, testing evidence, and system context in a secure and controlled environment.
Confidential by default
Customer data is treated as confidential and used only to provide agreed services — never shared or repurposed.
Responsible retention
Data retention policies are applied consistently, aligned with customer agreements and applicable regulations.
AI that works within your security boundaries
Glasslake uses AI within a governed enterprise environment. Our AI agents work with structured project context, documentation, requirements, decisions, and testing information while respecting defined access controls and security boundaries.
Human review and approval remain central to critical workflows, especially when outputs may affect scope, system configuration, testing validation, or business decisions.
- AI agents operate within defined access controls and project boundaries
- Human approval required before configuration or system changes are applied
- Structured project knowledge stays within the customer’s governed environment
- Critical transformation decisions remain under human expert control at all times
- AI outputs for testing, scope, and configuration go through review workflows
- Supports data residency requirements and Virtual Private Cloud (VPC) deployment