Founded Year

2012

Stage

Incubator/Accelerator - II | Alive

Total Raised

$10.63M

About Falkonry

Falkonry enables predictive operations for companies seeking to improve the uptime, quality, and throughput of their operations. Falkonry’s machine learning system enables operations teams to discover, explain and predict operational behaviors, without requiring data scientists. The product can be deployed across the enterprise either on-premises, in the cloud or on the edge. It enables customers to save millions of dollars in operating costs and achieve a 5-10 times ROI.

Falkonry Headquarter Location

1309 S. Mary Ave. #215

Sunnyvale, California, 94087,

United States

408-461-9286

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Falkonry's Products & Differentiation

See Falkonry's products and how their products differentiate from alternatives and competitors

  • Falkonry Clue

    Predictive production operations

    Differentiation

    Patented technology for automatically discovering conditions, effortlessly capturing tacit knowledge of SMEs 

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    Differentiation

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Research containing Falkonry

Get data-driven expert analysis from the CB Insights Intelligence Unit.

CB Insights Intelligence Analysts have mentioned Falkonry in 5 CB Insights research briefs, most recently on Nov 1, 2021.

Expert Collections containing Falkonry

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Falkonry is included in 4 Expert Collections, including AI 100.

A

AI 100

200 items

A

Artificial Intelligence

8,717 items

This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.

D

Digitization & Automation In Manufacturing

334 items

Software that helps operators predict maintenance events, downtime, and energy usage.

A

Advanced Manufacturing

3,274 items

Companies focused on the technologies to increase manufacturing productivity, ranging from automation & robotics to AR/VR to factory analytics & AI, plus many more.

Falkonry Patents

Falkonry has filed 10 patents.

The 3 most popular patent topics include:

  • Systems engineering
  • Industrial machine manufacturers
  • Machine learning
patents chart

Application Date

Grant Date

Title

Related Topics

Status

9/8/2019

4/19/2022

Multiple component reactions, Systems engineering, Regression analysis, Designer drugs, Lysergamides

Grant

Application Date

9/8/2019

Grant Date

4/19/2022

Title

Related Topics

Multiple component reactions, Systems engineering, Regression analysis, Designer drugs, Lysergamides

Status

Grant

Latest Falkonry News

Falkonry and ArcelorMittal selected for a Joint Smart Manufacturing Project by CESMII

Feb 18, 2022

Share The project will leverage Falkonry’s time series AI to automate strip break classification and reduce wastage in steel cold rolling Falkonry, a leader in time series AI, announced it has been selected for an innovation project by CESMII – The Smart Manufacturing Innovation Institute, in collaboration with ArcelorMittal Nippon Steel Calvert and ArcelorMittal Global R&D. The project was selected under the CESMII Roadmap Projects RFP3 initiative which aims to accelerate the adoption of sustainable and smart manufacturing practices in production operations. Combining Falkonry’s expertise in AI and analytics and our steel manufacturing domain experience, we are confident of developing a solution that will help reduce downtimes and other operational issues resulting from strip breaks. “CESMII’s objective is to drive innovation through the democratization of smart manufacturing and we chose Falkonry and ArcelorMittal from a large pool of proposals to further this objective,” said  John Dyck , CEO, CESMII. “Staying competitive in metal manufacturing requires reliable and efficient operations and this project aims to develop a reusable and interoperable solution for productivity improvement in steel mills.” Falkonry is collaborating with ArcelorMittal to develop a strip break classification system in their Calvert, AL cold rolling tandem mill. One of the issues in the cold rolling of sheet steel, strip breakage, results in yield loss due to line stoppage, re-work, and may also cause damage to equipment. The objective of this project is to automatically classify strip break events using time series AI and machine learning (ML), and provide their explanations from time series data. Once the cause is determined using these explanations, corrective measures can be implemented to prevent repeat occurrences of strip breakage, thereby improving production efficiency. Falkonry’s time series AI will analyze the tandem rolling mill’s operational data in real-time and provide actionable insights directly to production and maintenance teams in the steel mill. Related Posts “This joint opportunity with Falkonry will enable us to leverage the power of AI/ML in addressing a major challenge during the cold rolling of steel in a Continuous Cold Mill – occurrence of strip breaks which result in line stoppages and pose a risk of equipment damage,” said  Bernard Chukwulebe , Group Manager, Processing and Control, and Digital Transformation Cluster Leader, ArcelorMittal Global R&D East Chicago Center. “Combining Falkonry’s expertise in AI and analytics and our steel manufacturing domain experience, we are confident of developing a solution that will help reduce downtimes and other operational issues resulting from strip breaks.” According to Thomas Brennan, CRM Process Technology Area Manager at AM/NS Calvert, “High-speed strip breaks are the most damaging for the mill and Falkonry AI will especially be beneficial in providing early warning that can help us activate our strip break responses in time to reduce our yield losses.” Delivering a Smart Manufacturing Profile of a tandem cold rolling mill. Developing a reusable solution to tackle strip break classification in cold rolling of steel. Reducing man-hours consumed in the classification process, increasing uptime for the cold rolling mill and reducing scrap generated due to strip break events. “We are delighted to have been selected by CESMII for RFP3 and look forward to working with ArcelorMittal to illustrate how control systems data can be effectively combined with time series AI to enhance operational excellence for steel manufacturers,” said  Dr. Nikunj Mehta , Founder and CEO, Falkonry. “This project will leverage AI/ML to classify damaging events from control systems data and more quickly understand their causes, and deliver a scalable solution that can be readily applied across steel mills.”

Falkonry Web Traffic

Rank
Page Views per User (PVPU)
Page Views per Million (PVPM)
Reach per Million (RPM)
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Falkonry Rank

  • When was Falkonry founded?

    Falkonry was founded in 2012.

  • Where is Falkonry's headquarters?

    Falkonry's headquarters is located at 1309 S. Mary Ave., Sunnyvale.

  • What is Falkonry's latest funding round?

    Falkonry's latest funding round is Incubator/Accelerator - II.

  • How much did Falkonry raise?

    Falkonry raised a total of $10.63M.

  • Who are Falkonry's competitors?

    Competitors of Falkonry include Cognite, SparkCognition, Augury, AspenTech, Seeq and 13 more.

  • What products does Falkonry offer?

    Falkonry's products include Falkonry Clue and 1 more.

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