GROUND TRUTH
Data annotation built around the data your models actually need.
Maurvi AI supports structured annotation and human-in-the-loop workflows for AI teams that need reliable data foundations across image, video, text, audio, document, and 3D data types.
What we deliver
Annotation services that match the data your model actually needs.
Image annotation
Video annotation
Text / NLP annotation
Audio / speech annotation
OCR / document annotation
LiDAR / 3D annotation
Classification and labeling
Dataset preparation and structured handoff
Annotation workflows
A clear path from taxonomy to reviewed delivery.
01
Define the taxonomy
We align on labels, edge cases, and acceptance criteria before annotation begins.
02
Run the pilot
A representative sample validates the workflow, guidelines, and quality bar.
03
Deliver with QA
Reviewed batches are checked for consistency, accuracy, and handoff readiness.
Quality assurance
Quality is built into the workflow, not treated as a final checkpoint.
Guidelines
Annotation instructions, examples, and edge-case handling define the expected standard.
Reviewer workflow
A second review path helps identify consistency issues and ambiguous labeling decisions.
Acceptance criteria
Labeling quality is reviewed against documented expectations for the agreed task.
Delivery validation
Final output is checked for schema, completeness, and agreed workflow requirements.
Supported industries
Data operations shaped to the domain.
Autonomous vehicles
Robotics
Healthcare imaging
Retail / e-commerce
Manufacturing
Agriculture
Banking / insurance
Enterprise automation
Delivery
Structured outputs that fit your pipeline.
Start a conversation
Have data that needs a clearer workflow?
Bring us the dataset, task, timeline, or quality goal. We can help define a practical pilot and the right annotation workflow before scale-up.
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