<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Annotation Radar — H2L Robotics India</title>
    <link>https://h2lrobotics.in/radar/</link>
    <atom:link href="https://h2lrobotics.in/radar/feed.xml" rel="self" type="application/rss+xml"/>
    <description>Curated news on the data annotation and AI training-data industry, with analysis from H2L Robotics India.</description>
    <language>en</language>
    <lastBuildDate>Fri, 10 Jul 2026 09:00:00 GMT</lastBuildDate>
    <item>
      <title>Mercor in talks to raise $500M at a $20 billion valuation</title>
      <link>https://www.forbes.com/sites/richardnieva/2026/07/09/mercor-fundraise/</link>
      <guid isPermaLink="false">mercor-20b-raise-2026-07</guid>
      <pubDate>Thu, 09 Jul 2026 09:00:00 GMT</pubDate>
      <category>Funding</category>
      <description>The AI-training-data race keeps accelerating — Mercor would double its valuation in under a year, after crossing a reported $2B annualized revenue in June. The money is chasing human expertise in the training loop, not just bulk labeling. Precision, domain-specific annotation is where the margin is moving.</description>
    </item>
    <item>
      <title>EXL to acquire iMerit for up to $310 million</title>
      <link>https://www.globenewswire.com/news-release/2026/06/24/3316801/9060/en/exl-to-acquire-imerit-advancing-its-leadership-in-enterprise-ai-by-adding-foundation-model-expertise-and-technology.html</link>
      <guid isPermaLink="false">exl-acquires-imerit-2026-06</guid>
      <pubDate>Wed, 24 Jun 2026 09:00:00 GMT</pubDate>
      <category>Acquisition</category>
      <description>The biggest annotation-industry consolidation of the year: EXL pays $170M upfront plus up to $140M in earnouts to fold in iMerit&#39;s Ango platform and its expert &#39;Scholars&#39; network for RLHF and model evaluation. It signals that enterprise-AI buyers now want annotation, domain experts and delivery under one roof — good news for specialist studios who can plug into that stack rather than compete with it.</description>
    </item>
    <item>
      <title>Meta redeploys 6,500 engineers to label AI training data</title>
      <link>https://www.techtimes.com/articles/318586/20260617/meta-conscripts-6500-engineers-data-labelers-revolt-exposes-ai-training-ceiling.htm</link>
      <guid isPermaLink="false">meta-engineers-data-labeling-2026-06</guid>
      <pubDate>Wed, 17 Jun 2026 09:00:00 GMT</pubDate>
      <category>Market</category>
      <description>Even a hyperscaler with unlimited compute hit a wall on data quality — and had to put expensive engineers on labeling. The lesson for the whole industry: models are now bottlenecked on high-quality human-labeled data, not GPUs. That&#39;s a structural tailwind for professional annotation.</description>
    </item>
    <item>
      <title>AI data-labeling market projected to reach $6.5B by 2031</title>
      <link>https://www.herohunt.ai/blog/the-ultimate-ai-data-labeling-industry-overview/</link>
      <guid isPermaLink="false">labeling-market-forecast-2026</guid>
      <pubDate>Mon, 01 Jun 2026 09:00:00 GMT</pubDate>
      <category>Research</category>
      <description>Analysts peg the annotation market at ~$2.3B in 2026, nearly tripling by 2031. The growth is real, but it rewards vendors who move up the value chain into specialized, high-accuracy work — which is exactly where a focused agricultural-CV studio wins.</description>
    </item>
    <item>
      <title>Pentagon awards Meta-backed Scale AI a $500 million contract</title>
      <link>https://www.forbes.com/sites/aliciapark/2026/05/06/pentagon-hands-meta-backed-scale-ai-500-million-contract-5-times-last-years-deal-report-says/</link>
      <guid isPermaLink="false">scale-ai-pentagon-500m-2026-05</guid>
      <pubDate>Wed, 06 May 2026 09:00:00 GMT</pubDate>
      <category>Policy</category>
      <description>A fivefold jump on last year&#39;s $100M defense deal. Government and defense are becoming serious annotation buyers, and both demand exactly what agricultural and industrial CV work demands: auditable quality, traceable provenance, and vetted labelers.</description>
    </item>
    <item>
      <title>Encord raises $60M Series C to build the data layer for physical AI</title>
      <link>https://siliconangle.com/2026/02/26/physical-ai-data-infrastructure-startup-encord-lands-60m-accelerate-intelligent-robot-drone-development/</link>
      <guid isPermaLink="false">encord-series-c-60m-2026-02</guid>
      <pubDate>Thu, 26 Feb 2026 09:00:00 GMT</pubDate>
      <category>Funding</category>
      <description>Led by Wellington at a $550M valuation, with revenue from physical-AI customers (robots, drones, autonomous vehicles) up 10x. This is squarely our lane — annotation for machines that act in the real world, not just chatbots. Validates the agricultural-robotics annotation thesis H2L is built on.</description>
    </item>
  </channel>
</rss>
