A full set of features for collaborative IoT

By using fast and precise natural language processing (NLP) and enhanced by decision-making skills, connected things can integrate workflows that combines other things, services and people on a any-to-any exchange platform.
Natural language at the speed of machine language

Machine-to-machine communication requires high precision (no action should be taken wrongly), well above the usual performance of human-to-machine services.

Without human in the loop, there is no trivial possibility to correct erroneous interpretations, ask for confirmation or enter a repair phrase ("can you confirm?”, “Which color would you prefer?”). Therefore, most dialogues must be concluded in one round only.

Natural language interactions with machines appear as quickly as with machine language, that is, only a few milliseconds.

CPU workload and memory requirements are kept very low to maximize scalability and minimize operation costs.

High precision and concision

Ultra fast and lightweight

The three steps toward IoT collaboration

The first step is to provide connected devices with the ability to communicate in natural language.

Then, augmented capabilities associated to each thing (rich events handling, workflow orchestration, etc.) provide the meaningful content to be exchanged.

Finally, these natural language messages are shared by the different members of the workgroup (devices, applications, people).

Augmented capabilities

Learning to speak is not enough: connected things must have something interesting to say. Their common (natural) language must be used to communicate significant information (commands, status, values) that support their mission: a "soul" must be breathed into these speaking devices.


Rich events handling

Connected devices are capable of generating events (for example "temperature above 22 °C"). Agora's vThings can also generate their own events to enrich real devices' capabilities.


Workflows orchestration

Talking devices are complemented by distributed orchestration capabilities that implement event-driven workflows involving heterogeneous things, applications and people.

Any-to-any communication

Participants are brought together in a secure environment (workspace) which offers confidentiality from the outside and any-to-any communication inside.

Rich events handling to create complex states and useful trigger conditions

Embedded orchestration to support business oriented workflows

Any-to-any communication inside a secure workspace organization

Main features
Natural language/machine language adaptation
Connection to public
social networks
Connection to enterprise collaboration platforms
Connection to enterprise productivity tools
Natural language Verbatim for direct traceability
No-code event-driven workflow controller
Devices and service grouping
Multi-language user interactions
Access to a large store of service interfaces (vThings)

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