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XYNTRIQ

AI data annotation and collection company delivering multimodal training datasets including consented first-person video

XYNTRIQ collects and annotates multimodal data for AI training, including consented first-person video, across Latin America and India.

Overview

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A look at xyntriq.in

XYNTRIQ is an AI data annotation and collection company that delivers production-grade training datasets. The company provides image, video, text, audio, and LiDAR annotation services, along with custom data collection and consented first-person (POV) video datasets captured by contributors in Latin America and India. XYNTRIQ operates with a consent-first, privacy-first approach, featuring multi-tier quality control, NDA-protected workflows, and batch-level accuracy reporting. The company is built for enterprises and government programs that cannot afford data quality mistakes, operating as a Udyam-registered Indian MSME with India data residency and transparent, auditable processes from pilot to delivery.

Feature notes

  • Image, video, text, audio and LiDAR annotation
  • Consented first-person (POV) video collection
  • Multi-tier quality control with batch-level accuracy reporting
  • Custom data collection across LATAM and India
  • NDA and confidentiality protection from day one
  • India data residency and sovereign-data compliance
  • Pilot batch within 48 hours
  • Domain-matched annotators for specialized industries
  • Documented consent management for ethical data sourcing
  • Healthcare and medical imaging segmentation services

Pricing

Pricing model: Contact for pricing

FAQ

What is data annotation?
Data annotation is the process of labeling data such as images, video, text, and audio so AI models can learn from it. XYNTRIQ delivers high-accuracy annotation for production-grade models.
What is first-person (POV) video data collection?
It records real-world tasks from a person's own point of view using a head-mounted smartphone, producing egocentric video used to train computer-vision models.
What is consented AI training data?
Data collected from people who have explicitly agreed to its use. This is required for ethical, compliant model training.
How do you ensure annotation quality?
XYNTRIQ uses multi-tier quality control: guideline-driven labeling, automated validation, expert human review, and batch-level traceability with accuracy reporting.
How fast can you start a project?
As soon as you send sample data and guidelines, XYNTRIQ runs a pilot and returns a quote typically within 48 hours of reviewing your batch.

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