HAIVO | Expert Data Labeling Solutions & AI Training Data Services

3 steps To Start Annotating With HAIVO

Scoping

Once a request is submitted, we scope the requirements, select a tool and process a sample data set.

Request is processed and quotation issued within 48 hours.

Annotation

Workers are trained on the project and tool, and the first batch of data is delivered for the client’s feedback.

Feedback is addressed and additional training is delivered whether required.

Client has full visibility on the project progression and access to the annotated data at all times.

Delivery

Project Manager implements multiple QA and validation layers throughout the project cycle, based on the set QA requirements.

At the end of the project, the client receives a complete data file according to the agreed timeline parameters.

Case Studies

Geospatial

Building training datasets using satellite imagery for the Earth Observation models. Satellite imagery is used to solve various sustainability problems and is often applied in agriculture, geological and hydrological research, forestry, environmental protection, land planning, intelligence, and military purposes.

ViewAll

Agriculture

Making crops and other things recognizable so that humans do not need to be involved in determining the best course of action. This impacts AI’s performance in developing scalable, collaborative, and AI-assisted agricultural applications.

ViewAll

Waste Management

Can be defined as all the activities that are required to manage waste from the point of collecting the waste to recycling and monitoring.

ViewAll

Medical

We specialize in annotating and labeling medical images and patient data for health models. Our services support advancements in healthcare, aiding in diagnosis, treatment, and monitoring. By providing accurate annotations, we contribute to innovative technologies and medical research.

ViewAll

Other

Annotation in machine learning is a process of labelling the data on images. The image may contain humans, vehicles, any objects to make it recognizable for machines. That is why we have other sections that we might go into like insurance and clothes for example.

ViewAll

Reliable Data Annotation Solutions to Drive Smarter AI

3 steps To Start Annotating With HAIVO