XYNTRIQ is an AI data company that collects and annotates multimodal data: video, text, images, and audio, including consented first-person (POV) video, for production-grade AI systems.
Screened and trained before their first task.
Explicit, documented consent captured per record.
Approved video hours are paid on a weekly cycle.
Domain-matched annotators work to your labeling spec.
Automated validation, second-pass review, batch accuracy reporting.
Client names and raw samples stay off this site.
Fixed-scope pricing on sample batches and pilots.
Validate a paid sample batch first, then scale.
Recruitment partners across India and LATAM.
Prashant founded XYNTRIQ on a conviction that most AI failures start long before a model is trained. The root cause is the data. Coming from data operations and quality coordination across multi-industry AI projects, he saw how often model performance is decided by how carefully data is collected and labeled.
That experience shaped XYNTRIQ's purpose: to build consented, high-quality datasets spanning video, text, images, and audio that make real-world AI systems reliable, with delivery across Latin America and India.
His motivation is rooted in a longstanding interest in defence and technology. Time in the National Cadet Corps and an enduring interest in the Indian Army shaped an aspiration to contribute to defence-related technology and innovation through data. Time around hospitals and healthcare settings shaped that view as well, seeing how much clinicians rely on imaging, records, and reports, and how much depends on getting those details right. In critical domains, better data means better decisions. XYNTRIQ is his way of contributing through technology, building the data foundation that safer, more capable AI depends on.
Serving clients worldwide from our LATAM + India teams, 24/7.
Headquarters and core operations.
Distributed POV video contributors across Latin America.