We turn raw ground truth into usable data, maps, and workforce — labeling what trains AI, mapping what planning depends on, and staffing the people who do the work.
XJAVEN operates at the intersection of digital and physical infrastructure — labeling the data that trains AI, mapping the terrain that planning depends on, and deploying the people who get the work done. One operating standard across all three.
Image, video, LiDAR, and text labeling at production scale — bounding boxes, segmentation, keypoints, NER, and RLHF pipelines, QA'd by domain leads.
Satellite & drone imagery processing, cadastral mapping, land-use classification, and geospatial QA for utilities, agri-tech, and government programs.
Sourcing, vetting, and onboarding annotators, GIS analysts, and ops talent — with multilingual screening and rapid ramp-up for surge projects.
XJAVEN's annotation teams turn raw images, video, point clouds, and text into training-ready datasets, with QA benchmarks and domain-specialist review built in from the first batch.
Get a quote →End-to-end 2D labeling for computer vision — boxes, polygons, segmentation, and keypoints across images and video.
3D point-cloud labeling fused with camera and radar streams, built for autonomous systems and robotics.
Prompt-response labeling, RLHF, red-teaming, and preference data for language and generative models.
Free pilot batch on your first project — most estimates turn around in under 24 hours.
Talk to XJAVEN →Vehicle tracking, lane-change events, traffic violations, road-scene clips.
Player tracking, action recognition, goal events, performance review.
Abnormal behavior, person tracking, intrusion events, crowd activity.
Activity recognition, fall detection, pet behavior, gesture events.
Store entry, shelf interaction, checkout behavior, customer journey.
Package handling, forklift tracking, loading events, workflow compliance.
From satellite tiles to survey-grade drone capture, XJAVEN's GIS analysts turn raw geospatial imagery into land-use maps, cadastral layers, and terrain models planning teams can build on.
Get a quote →High-resolution satellite and drone imagery processed into orthomosaics and land-cover classifications.
Parcel boundaries, zoning layers, and land-use classification for government and planning programs.
Point-cloud-derived elevation models and terrain analysis for infrastructure and utility projects.
Send us your AOI and spec — we'll scope a pilot mapping batch within a day.
Talk to XJAVEN →Boundary surveys, ownership layers, and cadastral records for registries.
Road, rail, and pipeline condition tracking from repeat aerial capture.
Rapid damage assessment and change detection after flood or storm events.
Crop-health indices, irrigation mapping, and yield-zone delineation.
Grid, pipeline, and telecom asset mapping for maintenance planning.
Zoning analysis, density mapping, and growth modeling for city programs.
We review your data or geography, agree on labeling schema or map spec, and run a paid pilot batch before scaling.
Workforce assembles a vetted pod — annotators, GIS analysts, QA leads — matched to language, domain, and timezone.
Work runs in tracked sprints with double-pass QA and live accuracy dashboards you can audit at any point.
Delivered in your schema of choice — COCO, GeoJSON, shapefiles, custom API — with a standing pod ready to scale up.
XJAVEN's workforce desk places annotators, cartographers, and ops leads into live projects worldwide — remote-first, fast-onboarded, fairly paid.
Live openings across annotation, mapping, QA, and sourcing — new roles added weekly as projects scale.
RESPONSE TIME < 24H · NO MINIMUM VOLUME · GLOBAL COVERAGE
info@xjaven.com+91 98852 33266 · www.xjaven.com