We help enterprises design and operate AI-native platforms — built for scale, resilience, and measurable commercial outcomes.
TurnStac exists to close the gap between AI ambition and production reality. Too many organisations invest in AI pilots that never reach production — or reach production without the engineering rigour to sustain them.
We bring deep platform engineering, cloud architecture, and AI systems expertise to help enterprises move from experimentation to production — reliably, at scale, and with clear engineering outcomes.
Our work spans AI strategy, agentic systems design, cloud-native platform builds, and the operational frameworks that make intelligent products sustainable.
Production over Prototypes
We build systems that run — not just demos that impress.
Architecture-First Thinking
Sound foundations before velocity. Every decision is load-tested against scale.
Measurable Outcomes
Every engagement is tied to business KPIs — not just technology metrics.
Global Reach, Hands-On Delivery
Spanning APAC, EMEA, and the Americas with direct engineering leadership.
Founder & Principal — TurnStac
With over 20 years of engineering leadership, Prathap has built and scaled AI-powered cloud-native platforms across multiple domains. A specialist in OTT streaming, AI/ML-based video products, and platform engineering, he has architected and launched products operating at massive scale across Asia Pacific, North America, EMEA, and Latin America.
Prathap is a hands-on AI and technology leader with deep expertise in AI strategy, architecture, and production-grade AI systems. He specialises in designing and delivering AI-native platforms, LLM and agentic systems, and cloud-native microservices that run reliably at enterprise scale.
He brings hands-on leadership across the full AI lifecycle — from AI strategy and data foundations to building end-to-end MLOps/LLMOps pipelines, autonomous agents, and GenAI-powered products. His work spans LLMs, RAG, multi-modal GenAI, intelligent code assistants, recommender engines, and AI-driven search platforms.
His expertise extends to building and scaling high-performance engineering organisations, managing global R&D centres, and leading product development across the full technology stack — from embedded systems and CPE devices to AI-first cloud platforms. Core domains include cloud & application architecture, AI/ML (Agentic AI, Agentic Frameworks, Agentic Protocols, LLMs, GenAI, RAG, Code Agents), data pipelines, video encoding, streaming analytics, and broadband platform engineering.
Whether you're scaling an AI platform, re-architecting for the cloud, or building your next intelligent product — we'd love to talk.
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