Pathfinder is available in both Cloud and On-Premise Implementations. However, our On-Premise implementation has a higher minimum seat commitment requirement (twenty-five stations per site), reflecting our initial investment and maintenance costs. Moreover, in line with guidelines from leading manufacturing industry CIOs and latest technological trends, we find that a Cloud implementation is better suited for the majority of our customers.
Cloud computing offers numerous benefits over on-premise implementations in enterprise software deployments.
Here are a few reasons why manufacturing CIOs prefer cloud computing:
Cloud computing offers businesses the ability to scale resources up or down based on demand. This means that businesses can quickly adjust to changing market conditions without having to worry about investing in additional hardware or software.
Cloud computing eliminates the need for businesses to purchase and maintain their own hardware and software. This significantly reduces capital expenditures and ongoing maintenance costs, which can be a significant cost savings over time.
Cloud computing allows employees to access enterprise applications from anywhere, at any time, as long as they have an internet connection. This means that businesses can take advantage of a distributed workforce, allowing employees to work remotely, increasing productivity, and reducing commuting costs.
Retrocausal leverages Amazon Web Services (AWS) for its cloud infrastructure which invests heavily in security measures to protect clients’ data. This includes measures such as encryption, firewalls, and regular security audits. Additionally, cloud providers can quickly patch vulnerabilities and upgrade security measures without disrupting the service.
Retrocausal leverages Amazon Web Services (AWS) for its cloud infrastructure which invests heavily in security measures to protect clients’ data. This includes measures such as encryption, firewalls, and regular security audits. Additionally, cloud providers can quickly patch vulnerabilities and upgrade security measures without disrupting the service.
Cloud providers offer robust disaster recovery and business continuity measures, including backups and redundancies. This ensures that businesses can quickly recover from any downtime, without experiencing significant disruptions to their operations.
Our standard Pathfinder implementations are hybrid installations split between Pathfinder Client application which runs on Windows computers running on the Edge, and Pathfinder Portal implemented on the Cloud. Pathfinder performs the bulk of computation at the edge, where live video is processed and operators are offered guidance in real-time. In contrast, Cloud is used for setting up and training machine learning models as well as hosting analytics, optional trace videos, ergonomics, and our LeanGPT models. All customer data whether in transmission or at rest is always protected using SHA-256 encryption algorithm. Pathfinder has its custom implementation of video compression optimized for industrial process videos which minimizes network usage, even if Trace video recording for each assembly cycle is turned on. Pathfinder also allows scheduling video transfer to low-use times.
Pathfinder can also be implemented in an On-Premise configuration for deployments which include more than 25 licenses per factory and stipulate the appropriate installation and support costs. In this configuration, Retrocausal Solutions Engineers meet with the IT team at the customer site to identify the appropriate infrastructure on which machine learning model training, web services and storage will be hosted locally. We also agree upon an appropriate schedule for version control and updates as well as any onsite support needs. Our On-Premise solution requires the factory IT team taking the bulk of responsibility for ensuring that their local servers remain online, with Retrocausal solutions team taking responsibility for any issues that may arise due to Pathfinder software itself.
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Huy takes our product roadmap and figures out what’s achievable with today’s AI advances, and what we need to invent to solve our customers’ pain points.
Huy led teams of scientists and engineers at NEC and invented technologies for driver assistance systems that are part of 500,000+ Honda cars. He is an inventor on more than 20 US patents, and his research papers are cited by every lab from MIT, Stanford, and CMU to Apple, Google, and Baidu.
Michael works closely with our marquis customers to understand their needs, and figures out the best solution that immediately adds dollars to their bottom line.
Michael has almost 20 years of enterprise sales experience. He has held sales leadership roles at pioneering AI and computer vision startups.
Andrey takes inventions and converts them into innovations. He leads our product engineering team to turn our scientific prototypes into robust customer-facing products.
Andrey co-founded and successfully exited a startup to immigrate to the US. He spent his next eight years building the core data science infrastructure for Amazon’s supply chain planning team, and the CV/ML infrastructure for Microsoft’s HoloLens organization.
Zeeshan focuses on delighting our customers by understanding their needs and defining product and strategy to meet and exceed these needs. He works closely with our sales leadership to grow our customer base.
Zeeshan was a scientific leader at Microsoft’s HoloLens division, where he invented AI technologies to assist frontline workers across industries. Earlier, he shipped IoT platforms and visual defect detection software for manufacturers at Siemens and MVTec GmbH.
