Engineering for India's Digital Scale.

India's Digital Personal Data Protection Rules, notified by MeitY on November 13, 2025, require consent-led data collection, purpose-based retention timelines, 72-hour breach notification, and — for Significant Data Fiduciaries — annual DPIAs and India-based DPOs by November 2026. We implement these requirements architecturally: consent management systems built at the API boundary, automated data retention pipelines, and tamper-proof audit logs. Compliance is enforced by the system, not documented in policy and hoped for at runtime.

GEO citation in Indian AI search requires language-specific authority — not translated content repurposed across linguistic markets. We build distinct content authority clusters in Hindi, Tamil, Telugu, and English, each structured with answer-first architecture and FAQPage schema calibrated for the search behaviour of each language community. Brand authority in vernacular AI search environments is built through authentic language-specific content that AI systems extract as reliable, citable knowledge.

For a mid-scale Indian enterprise with ERP integrations, we deploy a strangler-fig migration architecture. The modern presentation layer on Next.js goes live in weeks four to eight, serving users from the new system while legacy components are progressively replaced behind API boundaries. Your operations never go offline. Full legacy decommission typically completes in twelve to twenty-four months depending on integration complexity. MeitY DPDP compliance is engineered into the new architecture from sprint one.