List of Humans in the Loop Annotation Platform Customers
Sofia, 1000,
Bulgaria
Since 2010, our global team of researchers has been studying Humans in the Loop Annotation Platform customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Humans in the Loop Annotation Platform for Image Recognition from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Humans in the Loop Annotation Platform for Image Recognition include: Imperial College London, a United Kingdom based Education organisation with 8000 employees and revenues of $1.53 billion, Picvisa Spain, a Spain based Manufacturing organisation with 30 employees and revenues of $9.0 million and many others.
Contact us if you need a completed and verified list of companies using Humans in the Loop Annotation Platform, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Imperial College London | Education | 8000 | $1.5B | United Kingdom | Humans in the Loop | Humans in the Loop Annotation Platform | Image Recognition | 2022 | n/a |
In 2022 Imperial College London used the Humans in the Loop Annotation Platform for an Image Recognition research effort. A researcher at Imperial College obtained precise polygon annotations for approximately 6,000 surgical tool images using the Humans in the Loop Annotation Platform to support detection and localization model development for medical robotics.
The implementation emphasized polygon level annotation capabilities and human in the loop workflows, with close project support from Humans in the Loop and concurrent use of Hasty.ai. The project delivered about 5,600 annotated images to the research team, creating a hand labeled polygon dataset that fed model training for detection and localization.
Operational scope was a UK based medical R and D project within Imperial College London, focused on research team workflows for medical robotics. The annotation pipeline combined platform tooling, HITL oversight, and project support to reduce labeling time and improve network performance for downstream experiments.
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Picvisa Spain | Manufacturing | 30 | $9M | Spain | Humans in the Loop | Humans in the Loop Annotation Platform | Image Recognition | 2018 | n/a |
In 2018 Picvisa Spain implemented the Humans in the Loop Annotation Platform to support Image Recognition for its optical-sorting computer vision models used in waste classification products ECOGLASS and ECOPACK. The implementation targeted annotation scale and quality to accelerate model development for the Barcelona based manufacturing firm.
The Humans in the Loop Annotation Platform was configured to deliver polygon annotations at scale, producing over 320,000 polygon annotations across more than 30 projects. Work was executed from Europe using Hasty.ai together with a dedicated, trained annotation team, providing pixel-accurate segmentation and labeled training data typical of image recognition workflows.
Annotation outputs were consumed by Picvisa engineering and product development workflows for optical-sorting model training and iteration, supporting product lines ECOGLASS and ECOPACK. Operational scope covered multi-project annotation pipelines, centralized labeling governance with a trained team, and iterative feedback loops between annotators and model developers to refine class definitions and edge cases.
Governance emphasized a trained annotation workforce and project-level control to maintain labeling consistency, the approach improved model accuracy and accelerated product development as reported by the engagement. The case demonstrates a scaled annotation program using the Humans in the Loop Annotation Platform to operationalize Image Recognition data pipelines for manufacturing grade optical sorting.
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