Merantara is building data infrastructure around practical collection tasks. Software connects each stage of the work, hardware is tailored to collection settings, and teams take on tasks suited to their expertise. Together, they support projects from collection to delivery.
We are developing software for task assignment, collection monitoring, data preparation, annotation, quality assurance and version tracking. Automated checks and human review help identify issues during collection and processing. The findings help us improve task instructions and software.
We are working with external partners on collection equipment and methods for first-person recording, human demonstrations and robot tasks. This work remains in R&D, with prototype validation focused on usability, data synchronisation and collection quality in real-world settings.
Our expert team handles custom projects, new collection methods and technically demanding tasks. The team validates methods on site, collects reference samples, develops operating procedures and quality criteria, and carries out and refines complex tasks.
Our crowdsourcing network supports general-purpose and standardised collection tasks with clear requirements and established procedures. Task training, sample validation and batch acceptance checks support distributed collection across diverse participants and settings.
The expert team validates methods and standards; suitable tasks can then be scaled through the crowdsourcing network. Both operate under the same project requirements for quality, traceability and delivery.
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