Agri-tech backed
We are built by the same team that operates H2L Robotics BV in the Netherlands - a company working directly with farmers on the ground. Our annotation work is informed by real field experience, not generic datasets.
Multi-sector Data Annotation · AI & Robotics
Making machines
worth trusting.
Image, video, text and medical-imaging annotation for the AI, robotics and computer-vision teams building the future — across agriculture, healthcare and autonomous systems.
H2L Robotics India is a specialist data annotation studio based in Vikhroli, Mumbai — a wholly-owned subsidiary of H2L Robotics BV (Netherlands, est. 2019). Our in-house team produces precision training data across multiple domains, from agricultural robotics to medical imaging and autonomous systems, in image, video, text and audio.
AGRI-ROBOT · 0.97
TERRAIN
SENSOR
Fast Turnaround
24–48 hour delivery
Annotation QA
Multi-pass review
Where we work
Sectors we serve.
We started in agriculture and now bring the same field-tested precision to healthcare, autonomous mobility and language — building the training data for whichever machines need to earn trust.
Agricultural robotics
Field imagery for autonomous weeders, harvesters and crop-monitoring AI — plants, weeds, disease and terrain.
Medical & healthcare imaging
Careful, review-heavy labelling for medical-imaging AI — scans, cells and diagnostic features.
Autonomous vehicles & mobility
Road-scene annotation for perception systems — objects, lanes, pedestrians and drivable space, in image and video.
Text, voice & documents
NLP and audio labelling — entities, intent, transcription and classification for language and speech models.
What we do
Every annotation type, one studio.
Image Annotation
Polygon, bounding box, keypoint and instance segmentation — pixel-accurate labels for any object or feature.
AvailableVideo Annotation
Frame-by-frame object tracking, event tagging and temporal labels for perception and behaviour models.
AvailableText & NLP Annotation
Entities, intent, sentiment, classification and document labelling for language models.
AvailableAudio & Voice
Transcription, speaker and intent labelling for speech, voice-assistant and call-analytics AI.
Available
Why work with us
Built by people who build robots.
Global expertise, local execution
Our work is guided by European precision engineering standards, with operational leadership based in Mumbai. People from across the world contribute to this project - bringing diverse perspectives to every dataset.
Founded by serial entrepreneurs
Both directors have founded and scaled multiple companies across India and Europe. We understand what it takes to build reliable systems - and we bring that operational rigour to every annotation project.
Latest from the field.
All articles →
Field Guide
How a potato plant grows: from seed tuber to harvest
Six growth stages, two Dutch varieties, and the moment flowers appear — everything you need to read a potato field.
Read article → Plant HealthViral diseases in potato crops: recognising PVY and Leafroll
PVY and PLRV are the two most economically destructive viral diseases in potato farming — how AI is changing early detection.
Read article → Annotation GuideWhat is polygon annotation and when should you use it?
A practical guide to when polygon annotation outperforms bounding boxes and why it matters for agricultural AI.
Read article → Press · BoerderijCropr blikvanger op Akkerbouwdag 2026 — cover story in Boerderij magazine
The CROPR Weedr laser weeder makes the front page of Boerderij — 5 new machines delivered to Flevoland witloof growers in late May 2026. We build the annotation data that trains it.
Read article →