Falkonry has won allowance of its time series deep learning patent application

After overcoming challenges in time series data quality, ML Ops, alerting, and advanced analytics, Falkonry is now integrating MQTT, and Unified Namespace (UNS)

It is believed that maintenance events record the same information as machine data. Here are 4 myths of maintenance logs and machine data that betray this belief

Learn how seamless integration of time series data and AI anomaly detection drives actionable insights, revolutionizing industrial operations

Discover how "Beneficial Detection Rate" is a valuable metric for quantifying the impact of anomaly detection in industrial operations.

Learn about the challenges posed in implementing predictive maintenance in manufacturing and possible solutions

Here’s a look at how Falkonry was founded, what we learned from our customers and partners, how we evolved, and where we are headed.

Falkonry makes smart manufacturing easy by overcoming common hurdles to unlock operational value and accelerate scaling efforts.

AI-based anomaly detection expands institutional knowledge to include tribal and invisible know-how by uncovering unknown operational issues

Falkonry’s no-setup anomaly detection helps manufacturers uncover previously unknown excursions from their data. But what comes after that?

Explore the different layers of a strategic pyramid framework that can help you achieve your smart manufacturing goals

Substantial benefits can be obtained from anomaly detection with relatively low effort or risk. Let’s take a look at how this is possible.

What happens when anomalies can be perfectly caught? Precise anomaly detection lets you optimize the value of your attention.

Falkonry’s unique approach to deep learning models exploits GPU acceleration at scale and optimally enables AI for industrial automation

Find out how AI-enabled automated strip break classification can improve the efficiency of a tandem cold steel rolling mill.

Amid a shortage of manufacturing engineers, AI can help get the most benefit for their time. We delve into AI-based personnel productivity.

How will operations teams keep up with maintenance, quality, or performance surprises? Smart condition monitoring can overcome such problems.

Falkonry Insights our new, fully automated anomaly detection application, provides a new way to derive value from Industry 4.0

From cutting-edge breakthroughs to the philosophy that drives development – CTO Dan Kearns takes us behind the scenes into the tech R&D at Falkonry

Adherence to optimal data best practices can be the difference between successful AI deployment and failure. Here are some guidelines to ensure success.

Steel and semiconductor manufacturing are both capital-intensive operations, which can benefit from time series AI to increase capacity at a lower cost

Through a steelmaking use case, we illustrate how subject matter experts can enable smart manufacturing adoption at scale.

The Edge is not a place - It is an optimization problem. Learn about some key factors in deciding what level of edge computing is right for you.

Far more value can be derived from collecting a number of problems and trying to solve them at scale using a homogeneous approach

How can a defense analyst detect unknown target behaviors in a geographical area of interest using a time series AI-based analysis solution?

Model-free AI, line-scale adoption, and smart factory platforms will shape smart manufacturing in 2022. Here's how time series AI will enable it all.

Find out how steel manufacturers are able to maximize production uptime, reduce wastage and improve quality by using AI in steel manufacturing

Underground nuclear explosions produce a unique seismic signature, which can be monitored and analyzed in real-time using time series AI to raise alerts

The importance of asset reliability has increased multifold for the pharma industry and hence upgraded methodologies of reliability management like software-defined reliability are required.

Falkonry's time series AI facilitates easy Discovery and Monitoring - helping you find and focus your attention on what is most important.

Event horizon estimation provides a time estimate to any critical event such as time to failure (TTF), the life of a consumable (RUL).

Scaling high reliability across plants and processes is not easy with traditional methods. Read to know how software-defined reliability can help.

The Falkonry Time Series AI platform provides a path to machine learning with realtime data. Get better results using the richness of current production context.

Traditional ML in industrial applications has its challenges. Here's how Falkonry overcomes them to deliver AI-based Operational Excellence.

Falkonry empowers your operational excellence strategy. Learn how our patented AI can take your OE strategy to the next level.