Data Annotation Workflow
Instructions SetYou share your sample data with business rules.
Task AnalysisOur annotation experts share their opinion on workforce hours and tools required for the job
Data Labelling with ChecksOnce signed up, our teams work in close contact with you for initial 8 weeks to understand edge cases
Production Grade AnnotationQA Managers monitor throughput closely with gold standards, consensus and sampling
Exported Training Data FeedbackFinished training data run by you for feedback and info on model iterations
Choosing the right Data Annotation ToolSince the performance of your ML model is as good as the data that trains it, understanding the tools used for annotating this data becomes especially important. These tools determine the quality of the data and can have implications on the success or failure of your model. … read more
Key Factors to find synergy with Labeling PartnerWhen we think about AI and Machine Learning, we naturally tend to think of self-driving cars, delivery drones, robot-assisted precision surgeries, and all the technological innovations that have been doing the rounds lately.… read more
Our Client's Speak
Finance and Insurance TechWe partner with asset management, legal, finance and insurance firms to assist them to embark on their journey of robotic automation of gathering quick insights on lengthy legal, structural and financial data. … read more
Customer Service AutomationWith the advent of new generation AI enabled chatbots and virtual assistants, efficient and warm handling of basic queries, assistance replies to product/service oriented feedback is just the tip of the iceberg… read more
GovernmentBe it e-auction sites, public tenders, taxation, documentary record repositories, or nature, animal, people & demographics information, database management and enrichment is an essential facet of building data authenticity and enhancing user experience... read more
Let's Connect To Get StartedPlanning a machine learning project? AISmartz can help.