A deep dive into the triple-threat framework that powers ₹100Cr+ D2C brands with minimal teams.
Autonomous Engineering
Autonomous engineering and AI-driven performance. Lightning-fast execution through custom AI stacks that automate human-heavy creative and operational loops with mathematical precision.
Strategic Growth
Strategic growth where every action is data-driven and calculated. We focus on EBITDA expansion through strategically sound solutions that move the bottom line.
Governance Shield
Reliable partnership and 2025 DPDP governance built on transparency. Hard-wiring compliance into your data architecture to protect your IP.
AI-powered acquisition funnels that scale with precision. Optimize Meta ads, reduce CAC, and maximize ROAS through intelligent automation.
Real-time analytics and predictive insights that transform raw data into actionable growth strategies. Reduce RTO, optimize logistics.
Build defensible competitive advantages through compliance-first architecture and IP protection frameworks.
MarqX integrates legally-secure AI vaults (the Compliance pillar) into existing B.Tech stacks to ensure 100% data residency and consent compliance. We automate the audit trail required by the Digital Personal Data Protection Act, building a reliable partnership based on transparency.
By moving from an operator mindset to an architecture mindset. Our protocol automates 90% of high-frequency operational and creative tasks through “Efficiency Brain” and “Demand Gen” engines, allowing a lean team to focus purely on high-level strategy and human wisdom.
Meta volatility is often a result of “Manual Optimization Lag”. MarqX deploys L3 agents that iterate creatives and bids in real-time, coupled with GEO (Generative Engine Optimization) to diversify traffic beyond social dependency with mathematical precision.
The primary outcome is EBITDA expansion. Every action within our stack is calculated to reduce CAC, slash OpEx through automation, and lower RTO rates through predictive modeling, directly impacting the bottom line.