Falkonry Is The Industrial Engineer's Best Choice for AI/ML

Falkonry Awarded Best Digitalization Award by AIST

For

Its Cost Saving Potential

Read about the use case

The most advanced AI/machine learning for automation and sensor data

Very little or no labeled data and incidents that almost never repeat in exactly the same way.

Skip months of feature engineering and labeling effort
No software or data engineering for real-time analysis
Create and manage a digital knowledge base of incidents

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Falkonry creates the strategic path to autonomy with industrial data

Strategy

AI/Autonomy

Falkonry detects operational degradations and business impacting behaviors across processes and equipment to improve plant operations.

Architecture

Managed and efficient

Built-in private cloud infrastructure for learning and ML Ops

Technology

Time Series Learning

Specialized machine learning to minimize prep, labeling and model engineering effort, while enabling data ontologies for curation.

Enterprise-Ready

Assurance & Governance

Output explained with simple interfaces. Models traceable to data choices and outputs traceable to inputs.

Use Cases

Root Cause Analysis

Problem:

Frequent and hazardous failure in cold rolling mill causing production loss and requiring root cause analysis involving manual and offline SCADA data review across dozens of parameters

Impact:

$3-$4M per year of lost plant production and wasted operations effort in inefficient recovery.

Solution:

Time Series Intelligence offers an accurate and automated way to find the exact reason behind a failure. It uses the same SCADA data to identify to guide recovery action.

Process reliability

Problem:

Frequent production disruptions due to stoppages of the wet grinding process in the mining plant caused by varying ore quality, which can only be evaluated by offline chemistry laboratories.

Impact:

$30K per hour lost in production and massive clean up and recovery effort to restore the process

Solution:

Time Series Intelligence uses SCADA data to estimate ore grade and give real-time alerts about bad ore entering the process. This way, they can take action quickly to prevent any stoppages.

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Production & Yield Improvement

Problem:

Frequent and costly yield losses in fabrication equipment involving corrosive gases resulting from component degradation lead to increased inspection and non-productive time.

Impact:

Reduced yield due to impacted wafers in between inspection and lower production throughput due to non-productive time.

Solution:

Time Series Intelligence provides component behavior warnings days in advance by automatically discovering and recognizing component degradation patterns automatically and non-intrusively.

Discover patterns and anomalies you can't find

Automate the discovery of patterns and anomalies in process and machine data, so you can get higher-level alerts and improve your analytics success and speed.

Rapidly integrate with and operationalize AI/ML

Reduce the time to operationalize AI/ML from months to days with no data engineering, feature engineering or pre-labeling required.

Intuitive, no-code tools for engineers

We democratize the benefits of advanced analytics through intuitive, no-code analysis tools that are easy to use for all mechanical and electrical engineers

Go beyond traditional learning to discover behaviors

Unsupervised learning

Discover every distinct operating state without providing any labels or supervision

Self-supervised learning

Learn the normal range of behaviors from prior history to clearly identify unusual and rare behaviors

Semi-supervised learning

Learn desired mapping between labels and data patterns with as few as 2 examples

Custom models

Apply custom transformations and inference generation based on domain-knowledge

Falkonry Is The Industrial Engineer's Best Choice for AI/ML

Falkonry Awarded Best Digitalization Award by AIST

For

Its Cost Saving Potential

The most advanced AI/machine learning for automation and sensor data

Falkonry creates the strategic path to autonomy with industrial data

AI/Autonomy

Managed and efficient

Time Series Learning

Assurance & Governance

Use Cases

Root Cause Analysis

Problem:

Impact:

Solution:

Process reliability

Problem:

Impact:

Solution:

Production & Yield Improvement

Problem:

Impact:

Solution:

Discover patterns and anomalies you can't find

Rapidly integrate with and operationalize AI/ML

Intuitive, no-code tools for engineers

Go beyond traditional learning to discover behaviors

Client Testimonials

Take control of your mission.