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CLUSTER RIGHTS-FOREST-SUPPORT · 3 ENTRIES · EARLIEST ENTRY 2026-09-04

Forest rights claim tracking

This cluster comprises platforms that map, analyze, track, and verify forest rights claims for indigenous communities using documents, satellite imagery, and AI, primarily to inform government policy and enforcement. The cluster's dated history is too thin to read a shape from—only 0 dated entries exist before the index start, so the products predate the index or are undated. Traction leaders are Bhoomi-Setu, deforestation-detector, and Vantara, each showing 0 stars, indicating no standout traction signal yet.

Entry timeline

ENTRY TIMELINE

SEP 2026: 3
SEP 2026

Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.

Members by activity

Activity signals, not revenue.

Build origin · 3 unlabelled

Operator · 3 unlabelled

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 3 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01VanVaani0★1 moliveWeb-based analytical platform for tracking, streamlining, and optimizing Forest Rights Act implementation across India.
  2. 02Vantara0★1 moliveOperational platform that tracks and verifies anomalies in forest rights applications to support enforcement of indigenous land rights.
  3. 03VANTARA — Forest Rights Act Monitoring0★unknownliveAI-powered decision support system that tracks and verifies forest rights act claims for indigenous communities.

Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.