No matter the size, quality data drives innovation
Fully Managed data annotation services with trained data annotators
Tools we use
Industries
Accurate labelling is a fundamental aspect of any algorithm designed to function as intended. We are committed to providing pixel-accurate data sets within cost-effective packages tailored to meet the diverse needs of our clients across various industries.
Manufacturing + retail
Automation is increasingly being explored in manufacturing and industrial production lines, from defect detection in consumer goods to developing computer vision systems that guide manufacturing robots. Retail and warehousing work in a similar context, providing real-time feedback on customer experience or clusters, and predicting stock surpluses or shortages, among other applications.
Spatial Intelligence
Geo-spatial detection use-cases are one of the key avenues where AI is breaking barriers. Iterations of object detection from EOS multi spectral and radar imagery can be many, inclusive of land use and land cover, vegetation mapping, vehicle detection and types, oceanic vessels, urban planning, and even detecting pollution spread trajectories.
Transportation
Transportation is considered a progenitor space for machine learning, encompassing AI iterations of autonomous vehicles, fleet management, number plate detection, smart accessories, traffic management, and road infrastructure management.
Banking + Insurance
Document processing, a significant aspect of banking and insurance sectors, can sometimes become an arduous task. Fortunately, Natural Language Processing (NLP) and computer vision technologies offer a game-changing solution. We are committed to ensuring that these technologies are implemented effectively and efficiently.
Manufacturing + retail
Automation is increasingly being explored in manufacturing and industrial production lines, from defect detection in consumer goods to developing computer vision systems that guide manufacturing robots. Retail and warehousing work in a similar context, providing real-time feedback on customer experience or clusters, and predicting stock surpluses or shortages, among other applications.
Let’s start a project together
Get high-quality, pixel-accurate labelled data from us. We offer best-in-class scalable and adaptive annotation, along with quality assurance services. Start with our final track to fine-tune your supervised learning models.
1
Prep
We receive comprehensive project requirements, analyze your needs, and create a customized project plan that includes detailed workflow timelines and a budget.
2
TEST
We offer a complimentary pilot program and provide a detailed, precise workflow quality metrics skill set, requirements, and a precise price quote for your project.
3
SCALE
Once a workflow is established, we will commence scaling the project while simultaneously striving to enhance and optimize it.
Empowering Companies Across Industries with Reliable
Data
HyperionX works with companies across industries like construction, banking, healthcare, transportation, retail, manufacturing, consumer electronics, agriculture, robotics, and more, applying models in computer vision, natural language processing, and automatic speech recognition.
Our Annotation Stack.
Bounding Box/ Ellipse
Video Annotation
Semantic Segmentation
Audio Transcription
LiDAR Annotation
Point Labelling
Optical Character Recognition
Polygon Polyline
Categorisation
We have expertise in managing both straightforward annotation tasks and complex, multi-tool projects, regardless of the size of the data set, based on our partners’ needs. To ensure optimal quality and efficiency, we offer free pilot projects to evaluate the specific parameters of each task. We also offer flexible pricing options, including both standard and custom plans, to accommodate a variety of project requirements.
Let's collaborate on a project
Our scalable, flexible, and premium annotation and quality assurance solutions ensure high-quality, pixel-accurate labeled data. Trust our expertise to support you in the final stage of fine-tuning your supervised learning model.