Picominer® 

Edge AI For Industrial Automation

Picominer is designed to solve the software and process challenges in "AI/ML Model-To-Business Lifecycle".

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BIG PICTURE

The Problem

The majority (some reports say nearly 60%) of AI/ML projects never make it past the PoC (proof of concept) stage, despite the fact that the data models look promising in the lab.

The data lifecycle is very different from the software development lifecycle.
Typically, the cost of deploying AI/ML models is not considered in initial estimates.  

The Model-To-Business phase of the AI/ML project lifecycle requires additional processes to adapt the models to the target environment (application context). It serves as the motivation for Picominer's design.

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SMART DECISIONS

Edge AI

Picominer offers AI/ML model hosting at IIoT gateways. Picominer is an out-of-box solution that brings Ring, Star, and Mesh topologies to extend the capabilities of IIoT gateways.

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MOTIVATION

A lightweight AI/ML model serving platform for  IoT edge, automation and web.

SOLUTION
Binding the data models and expert knowledge for the target context.
BENEFITS
Flexible MLOps. Continuous and incremental advancements.
INDUSTRIAL AUTOMATION

Data applications

Managed MLOps

We create model-to-business data pipelines and provide managed services to your target environment using Picominer.

Integrations

Picominer Edge is compatible with a wide range of automation devices, MES/ERP/HMI software, and protocols.

Open source

The Picominer Edge platform designs and reference implementation are open source.There is no vendor lock-in.

Team training

Our services include team training and support on MLOps, DevOps, Expert Systems, and other business-specific technologies.

ESSENTIAL PROCESS

Picominer is designed to solve the software and process challenges in "AI/ML Model-To-Business Lifecycle".

PROJECT STUDY

To establish the scope, we will first schedule meetings
with customer teams.

DATA FLOW DESIGN

Determining numerous data touch points that are in line with business/application goals. 

EXPERT SYSTEM

Target contextualisation will be applied to the data models.
Discover the methods and tools for developing rich data applications.

MODEL REGISTRY

A model registry is created once models are tested against
the target environment. 

INTEGRATIONS

Integration (API) with MES/ERP/HMI and other
information applications.

Benefits that come with our engagement

Reference designs

Valuable reference design, implementation and support for Edge AI applications.

Flexible

Adapt the Edge AI to the needs of the applications. No opinionated framework.

DevOps

A flexible but uncomplicated DevOps foundation for running and scaling up the Edge AI models.

Open source

We have made all of our reference implementations available as open source. No vendor lock-in.

AI R&D

Access to our ongoing research and development on AI/ML sources and reference designs.

Team training

Get the staff a systematic Edge AI training (online or offline, as needed).

Innovation

Our strategy is to empower the teams to innovate in response to market demands.

Standards based

Continuous and incremental process improvement with industry standards and protocols.