IndiVillage
01 · Resources · Blog
Field notes from the annotation floor.
The operating discipline behind our programmes — taxonomy, QA, drift detection, vendor evaluation. Written by the team that runs the production pipelines.
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Featured
Robotics specialist with egocentric capture rig
Robotics
Robotics · 8 min read
How to annotate egocentric video for robot learning — five operating protocols.
The mistake commodity vendors make on first-person robot data, and what eighteen months of zero-drift QA on Machani Robotics' CeCe and RIA programmes taught us.
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ROBOTICS [NEEDS IMAGERY]
Robotics
Four filters for evaluating a robotics annotation vendor.
Domain expertise, staff stability, autonomy-grade QA, modality proof — what to ask before you shortlist.
9 min read · Consultancy
ROBOTICS [NEEDS IMAGERY]
Robotics
Sim-to-real: why real-world annotation closes the gap synthetic data can't.
The data-quality lever in robot training is human-curated edge cases — not infinite synthetic scaling.
7 min read · Algorithm
AGTECH [NEEDS IMAGERY]
AgTech
Three-level QC on 4.5M aerial images: four-season lessons from Taranis.
How retention plus gold-set discipline keeps 99.4% accuracy steady across an entire growing season.
11 min read · Enrichment
HEALTHCARE [NEEDS IMAGERY]
Healthcare
HIPAA-aligned annotation: BAAs, de-identification and clinical escalation.
The operating discipline regulated healthcare AI demands — and the audit trail your submission reviewer expects.
10 min read · Consultancy
PLATFORMS [NEEDS IMAGERY]
Platforms
White-label by default: how IndiVillage operates inside your platform.
Engagement models, surge capacity, multi-platform delivery — and where the named-partnership tier kicks in.
6 min read · Deployment
CROSS-CUTTING [NEEDS IMAGERY]
Cross-cutting
Retention compounds knowledge compounds quality — the unit economics of staying.
Why 96% staff retention shows up in your pricing model, not just in our culture deck.
8 min read · Consultancy
CROSS-CUTTING [NEEDS IMAGERY]
Cross-cutting
Proactive drift detection: catching the model failure before it ships.
Inter-rater agreement, gold-set audits, temporal consistency, and the dashboards we build for ourselves first.
9 min read · Deployment
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