Data pipelines & ETL
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

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
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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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