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The client faced difficulties scaling their monolithic architecture to handle massive API connection data volumes while maintaining stable performance. They required real-time risk prioritization visualization across 300+ metrics without overlapping data representations, alongside meeting tight deadlines for investor-ready feature delivery.
US-based cybersecurity startup specializing in data science-driven infrastructure monitoring and anomaly detection
Enables $100M+ Series A funding readiness through accelerated feature delivery cycles, establishes market differentiation via unparalleled real-time analytics capabilities, supports enterprise-scale adoption through elastic architecture, and enhances investor confidence with proven technical viability and rapid time-to-market execution.