Engineering
Intelligent
Businesses.

Athletes and coaches needed a measurable way to understand mental performance, not just physical output. We built an AI-driven platform that combines video analysis, psychological assessments, and real-time coaching insights, giving athletes, coaches, and sports organizations a data-backed view of how the mind shapes results.

• Objective mental performance insights
• AI-assisted coaching decisions
• Personalized athlete development
• Real-time performance intelligence
• Standardized performance measurement

Fragmented application logs made it hard to see what was happening across systems. We designed a cloud-native streaming pipeline that centralizes log ingestion, standardizes processing, and delivers real-time analytics, all on a scalable, cost-efficient architecture.

• Reduced processing costs
• Faster log analytics
• Standardized application logs
• Improved self-service access
• Scalable streaming architecture

Security teams needed a single place to run day-to-day MDR operations. We offer 24/7 support, monitor threats, manage shifts, submit investigation data, and track DDoS incidents, while producing audit-ready operational reports on demand.

• Centralized MDR operations
• Standardized analyst workflows
• Improved operational visibility
• Audit-ready reporting
• Enhanced compliance & governance

Procurement, vendor, and spend data lived in separate places, which limited visibility. We delivered an enterprise analytics platform with real-time dashboards and historical insights across procurement, vendors, contracts, spend, and cloud resell performance.

• Real-time operational visibility
• Faster executive decision-making
• Improved financial governance
• Reduced manual reporting effort
• Data-driven business insights

Organizations needed tighter control over their vendor ecosystem. We created a cloud-based platform that unifies vendor, contract, spend, and procurement workflow management with cloud resell operations, offering real-time visibility and centralized governance.

• Centralized procurement operations
• Improved governance & compliance
• Enhanced spend visibility
• Reduced manual effort
• Better operational insights

Managing detection rules by hand slows teams down and makes changes hard to track. We built a Detection as Code platform where security teams can build, test, version, and deploy Elastic Security rules through automated CI/CD pipelines, with Git-based governance keeping every change controlled and traceable.

• Automated detection deployment
• Improved rule quality
• Complete auditability
• Reduced manual effort
• Scalable detection engineering