Data Annotation Services for Computer Vision and Machine Learning
Marveit AI delivers human-verified image, text, audio, video and LiDAR annotation for computer vision and NLP teams. Every dataset passes multi-step quality checks and is handled under NDA.
Watch our workflow
See how we label data with precision & strict SLAs
Target Accuracy
Annotations Delivered
Fast Turnaround
NDA-Protected
Data Annotation Services for AI Teams
Human-verified annotation across image, video, text, audio and LiDAR data, built to train and evaluate production AI models.
Image Annotation
Computer vision labeling for detection and segmentation models.
- 2D bounding boxes, polygons and keypoints
- Semantic and instance segmentation
- Classification and attribute tagging
Video Annotation
Frame-accurate labeling for tracking and action recognition.
- Multi-object tracking across frames
- Temporal action localization
- Human activity and gesture labeling
LiDAR & 3D Annotation
Point cloud labeling for autonomous driving and robotics.
- 3D cuboid labeling
- Point cloud segmentation
- Sensor-fusion (camera + LiDAR) labeling
Text & NLP Annotation
Language data for NLP models and LLM training and evaluation.
- Named entity recognition and entity linking
- Sentiment analysis and intent classification
- RLHF and prompt/response evaluation
Audio Annotation & Transcription
Speech and sound data labeled for voice AI.
- Timestamped multi-language transcription
- Speaker diarization
- Sound event and noise tagging
Data Collection
Custom datasets sourced for your model’s use case.
- Image, audio, video and text collection
- Geographic and demographic diversity
- Privacy-compliant collection protocols
Why AI Teams Choose Marveit for Data Annotation
Accurate labels, predictable delivery and careful data handling, backed by a process you can audit, not just promises.
Multi-Stage Quality Control
Every batch goes through annotator work, peer review and senior QA sign-off. We audit random samples against your guidelines and send an accuracy report with each delivery.
Pilot First, Then Scale
We start with a small pilot on your own data. We refine the guidelines with you and calibrate annotators on gold-standard samples before scaling to full production.
Teams That Scale With Your Roadmap
Go from a few hundred files to millions without losing consistency. Trained annotator teams ramp up in 3 days, with the same QA process at every volume.
Secure Data Handling
NDA signed before any data is shared. Encrypted transfers, role-based access and PII anonymization where required. We can also work inside your VPN or environment.
Works in Your Tools
We label in CVAT, Label Studio, Labelbox, V7, SuperAnnotate, Scale AI, Supervisely, Audacity, Praat, Prodigy, Doccano or in your own platform, so your pipeline and formats stay unchanged.
Clear Communication
A dedicated project manager, regular progress reports and a fast feedback loop. If a batch misses your accuracy target, we correct it at no extra cost.
See our quality process on your own data.
Data Annotation Services for Every AI Industry
From self-driving perception to medical imaging and voice AI, we label your data to your guidelines and your industry’s formats.
Automotive & Autonomous Driving
Training data for perception and driver-assistance models.
LiDAR 3D cuboids, lane and road markings, pedestrian and vehicle tracking, camera-LiDAR sensor fusion.
Healthcare & Medical AI
Careful labeling for diagnostic and clinical models.
CT and MRI segmentation, medical image classification, clinical note tagging, on de-identified data with strict access control.
Retail & E-Commerce
Cleaner catalogs and smarter product search.
Product attributes, category mapping, shelf and SKU detection, review sentiment.
Agriculture & Drone Imagery
Aerial and field data for crop-monitoring models.
Crop and weed segmentation, plant health classification from multispectral images, field boundary mapping.
Voice AI & Conversational Systems
Speech and language data for assistants and chatbots.
Multi-language transcription, speaker diarization, sound event tagging, intent and entity labeling.
LLM & Generative AI
Human feedback data for model training and evaluation.
RLHF preference ranking, prompt and response evaluation, instruction data creation, safety and quality review.
Don’t see your industry? We write custom annotation guidelines for any domain.
Annotation Tools and Platforms We Work With
We work inside industry-standard annotation platforms, or on your own, so your data stays in your existing workflow.
Let’s Label a Sample of Your Data
Send us a small sample and see our annotation quality before you commit. We follow your guidelines, sign an NDA first, and share an accuracy report with every delivery.