AI Companies in Heavy industry

Explore artificial intelligence vendor companies in heavy industry, including companies in manufacturing, utilities, mining, and more.


Description: KONUX is a Munich-based sensor and analytics company, combining the best of German engineering quality with Silicon Valley speed and innovation. We develop customized smart sensors and use AI-based data analytics to generate real-time insights into the health of machines and infrastructure. Our mission is to solve complex technical challenges and help the customers become data-driven industrial companies. We are currently digitizing Deutsche Bahn’s high-speed railway network through condition monitoring of switches and crossings, a critical part of the railway infrastructure. By providing real-time condition monitoring of switches, the KONUX solution is helping Deutsche Bahn reduce inspection and maintenance costs by 25%, decrease infrastructure downtime and improve worker safety. Products: SWITCH MONITORING: KONUX supports rail operators and keep track of switch health. Switch failures are among the most common causes for delays and disruptions of train schedules. Our end-to-end solution helps monitor progressing mechanical wear of switches caused by train passages, and detect anomalies in time. ASSET MONITORING: KONUX helps supervise your assets. By continuously monitoring the status of assets, maintenance needs can be predicted and action can be taken before the operational process is negatively affected. Instead of losing efficiency and revenue due to unexpected machine downtimes, the full potential of asset lifetimes is utilized. ROLLING STOCK MONITORING:KONUX provides you with a wayside monitoring solution to make sure your rolling stock is healthy. Continuous gathering of data allows for status analysis over the entire rolling stock fleet and data-driven performance improvements are made possible, for instance state-dependent maintenance. ANOMALY DETECTION: KONUX helps supervise your high value assets. By continuously monitoring the health status of assets, maintenance needs can be planned and action can be taken before the operational process is negatively affected. Instead of losing efficiency and revenue due to unexpected machine downtimes, the full potential of asset lifetimes is utilized. PREDICTIVE ANALYTICS: Have all data in one place, structured and accessible. Get insights fitting your needs. Combine different sources and learn more with more data. CUSTOMIZED HARDWARE: Append additional hardware to your needs. Simply gather more data. Customize your dashboard and see only what you need.


Description: is an AI-powered log analysis platform that offers the open source ELK Stack as a enterprise-grade cloud service with machine learning technology. Our platform uses AI and and machine-learning algorithms to help DevOps engineers, system administrators, and developers to find critical events in the volumes of information that are now constantly generated in IT environments. Created by a Check Point veteran and a former algorithm engineer for the Israeli military, the enterprise-grade, cloud platform is built on top of the ELK Stack and provides real-time access to data insights based on the collaborative knowledge of IT executives throughout the world. The ELK Stack -- Elasticsearch, Logstash, and Kibana -- is the world’s most popular open-source log analytics software stack. Products: S3 Archiving: Have your logs backed up on your own S3 repository. Whether it is for compliance or forensics reasons, you can define your own on S3 and we’ll make sure all incoming logs are zipped and saved on that bucket. Multi-User Support: Invite your team members to collaborate, share data, and develop insights across your business. Colleagues in R&D and DevOps teams as well as product managers, and business analysts, and anyone else who need log data can now all work together. Automatically-created dashboards and alerts: Download dashboards for each application out of an online library of dashboards generated by’s machine-learning technology and user contribution. TROUBLESHOOTING & FORENSICS: Troubleshooting production issues is perhaps the most common use-case of log analytics. The interface (Kibana) lets you search through millions of records to investigate and pinpoint potential issues. You can filter results by server, application or any custom parameter until you reach the the source of the problem. Advanced features such as alerts enable you to get proactive notifications of issues you think are important, helping you to stay on top of evolving problems. INFRASTRUCTURE MONITORING: Monitoring your infrastructure can often help with identifying application level issues. We have implemented seamless integration with cloud providers like AWS, Heroku and others to allow you quick and detailed access to your infrastructure. We have also integrated Docker image to collect server level statistics to aid in monitoring. BUSINESS INTELLIGENCE: There is a great advantage of using’s ELK Cloud service for Business intelligence. The Kibana interface includes a range of visualizations and dashboards to track your environment. By combining application level logs and infrastructure level logs you have unique visibility into the journey your customers are experiencing. You can determine if their response time is affected by application issues and you can detect errors that are otherwise not existent if you only monitor customer interaction.

Vectra Networks

Description: Vectra® Networks automates the hunt for hidden cyber attacks inside campus networks, data centers and the cloud by continuously monitoring internal traffic to detect threats as they unfold. These threats are automatically correlated with host devices that are under attack and unique context about what attackers are doing enables organizations to quickly prevent or mitigate loss. Vectra prioritizes attacks that pose the greatest business risk so organizations can make rapid decisions on where to focus time and resources. The editorial team at Dark Reading recently presented Vectra with the Best of Black Hat 2016 award for Most Innovative Emerging Company. Vectra Networks’ investors include Khosla Ventures, Accel Partners, IA Ventures, AME Cloud Ventures, and DAG Ventures. The company’s headquarters are in San Jose, Calif. Products: Scalable Architecture: The scalable, distributed Vectra architecture enables customers to deploy a combination of physical S-series sensors, virtual sensors (vSensors) and X-series appliances across multiple locations for unified analysis, detection and correlation of threats. X-series appliances: Vectra X-series software can be ordered preloaded on a full-depth rack-mountable appliance that scales to accommodate the largest networks. The X-series is deployable in three modes -- Brain, Sensor or Mixed. In Brain mode, the X-series only receives metadata from one or more sensors. In Sensor mode, the X-series ingests traffic, extracts metadata and forwards it to another Brain or Mixed-mode X-series for processing. In Mixed mode, the X-series performs both Brain and Sensor functions. Physical S-series sensors: Vectra S-series sensors are easily deployed at remote sites or with access switches on internal network segments to extend the reach of your Vectra deployment. These small, dedicated devices passively monitor network traffic, extract critical metadata and forward it to the Brain for analysis and attack detection. Virtual sensors: Vectra vSensors running in VMware ESXi make it easy to extend threat detection coverage across the physical network and into virtualized data centers. Connect vSensors to any VMware vSwitch in the data center for visibility into all traffic and to detect threats that pass between workloads. Vectra also integrates with VMware vCenter for an authoritative, always up-to-date view of the virtual environment.

Heavy industry

Explore artificial intelligence vendor companies in heavy industry, including companies in manufacturing, utilities, mining, and more.