Use Cases

Esoptra addresses the opportunity cost of the gap between 1) data theoretically accessible by an organization and 2) its availability as actionable information at the right time, in the right hands, in the optimal format, on the appropriate device.
We observe this condition – ARID, as we call it, for Access Related Information Deficit – across various data use cases and have successfully battled and conquered it.

Traceability

Create transparency across your supply chain or your company
Increased focus on transparency across a supply chain often uncovers a patchwork of data sources with gaps, overlaps and inconsistencies. Available data is inconveniently located, structured & spread all over the place, resulting in a lack of transparency towards consumers.

Traceability

Create transparency across your supply chain or your company
Increased focus on transparency across a supply chain often uncovers a patchwork of data sources with gaps, overlaps and inconsistencies. Available data is inconveniently located, structured & spread all over the place, resulting in a lack of transparency towards consumers.

Asset Tracking

Keep your assets at your fingertips
Data linked to an asset (equipment/document) too often is managed in a utilitarian & unidimensional way, for 1 purpose and/or persona. So much more value can be gleaned from existing data in the context of an asset, towards many more parties and personas than the inspector or the clerk.

Workflow & Report Automation

Graft new workflows onto existing processes
Organizational data is locked up in diverse and distributed systems. Sourcing, transforming, combining and structuring this data for business purposes remains largely manual work for the functional end user. Hence slow, error-prone and expensive.

Workflow & Report Automation

Graft new workflows onto existing processes
Organizational data is locked up in diverse and distributed systems. Sourcing, transforming, combining and structuring this data for business purposes remains largely manual work for the functional end user. Hence slow, error-prone and expensive.

Content Access & Sharing

Share what you want in any context
Workers face an increasing number of digital content repositories and coping strategies are too often inadequate. Simultaneously, content they themselves produce or aggregate doesn’t necessarily become available to coworkers that may need it.

Unstructured Data Treatment

Source value way beyond databases
Organizations sit on tons of unstructured data across their systems, and hear of emerging AI technologies that can supposedly extract value from this data. Yet how to connect the AI algorithm to the company’s data sources in a cost-effective manner?

Unstructured Data Treatment

Source value way beyond databases
Organizations sit on tons of unstructured data across their systems, and hear of emerging AI technologies that can supposedly extract value from this data. Yet how to connect the AI algorithm to the company’s data sources in a cost-effective manner?

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