Embodied Cognitive Agents for Data-Driven Projects

From IOT/Robotics to software and data systems, AveniECA provides a framework for configuring intelligent embodied cognitive agents.

DEMOS

AveniECA

AveniECA is an embodied cognitive framework for configuring real-time Embodied Cognitive Agents (ECAs).

ECAs use the state of their constituents parts to achieve rationality with respect to the environment.

AveniECA builds on the concept of digital-twins for the aggregation of data from multiple sources. We then model this data as an agent whose state-to-state transitions open the possibility for a wide range of applications.

Predictive Processing.

Using historical data and similarity search AveniECA can predict next-state transitions useful for intelligent behavior.

Data Aggregation.

Configure thousands of digital twins and aggregate data from multiple sources.

Inherent Privacy

Your AveniECA instance, all data sources and databases used by your instance are privately configured by you.

Choose your server location and deploy where you see fit.

Predictive Processing

AveniECA provides a fast predictive processing algorithm relying on similarity search for a unique kind of AI.

Real-time Syncing

Sync with your physical twins (hardware or software) in real-time.

Speed Optimized

AveniECA is written 100% in the Rust programming language and is benchmarked for speed.

Multi-mode Retrieval

Use the ECA REST API and WebSocket for data retreival or make queries in Natural Language.

Multi-level Aggregates

Aggregate multple data sources and streams with multi-level hierarchical aggregates.

Product Road Map

AveniECA is grounded in a cognitive embodied framework with the goal of creating fluid and dynamic intelligent autonomous agents. Our product road map shows our R&D focus and the timelines for when these features will be included in the software.

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AveniECA Demos

Smart IOT

Recommender System

Multi-level Aggregates and Retreival

Controlling IOT devices for Smart Buildings.

See how you can build a smart IOT system for regulating the Air Quality Index and Temperature of a building.

Building a Recsys.

Let's build a recommender system as an embodied cognitive agent.

Multi-level Aggregates.

We'll see how you can combine different data points into aggregates,

and the retrieval methods for these aggregates.