India's most critical economic data — RBI policy documents, MOSPI statistical releases, Union Budget annexures, SEBI enforcement orders, state fiscal data — reaches LLM training corpora only as secondhand summaries. The actual primary documents, statistical tables, and live dashboards that analysts rely on are structurally inaccessible to every major training corpus ever built. This platform changes that.
Continuously harvests data from any public web source — including sources actively designed to resist automated collection. When a site changes, it heals itself.
Unlocks data trapped inside authenticated portals, complex dashboards, and government SPAs. A domain expert demonstrates once — the agent runs autonomously from that point forward.
Compute can be rented from any cloud provider. Model architecture can be cloned from open-source. But a continuously updated, structured corpus of Indian economy primary sources — built by capturing what standard tools cannot reach — cannot be replicated by pointing a generic crawler at the web.
This platform assembles that corpus first. The data moat compounds over time. Every source added, every refresh cycle run, every document extracted deepens an advantage that late movers cannot close by simply spending more on infrastructure.