Empower your operators, engineers, and managers to dramatically boost the quality and productivity of your manual processes.
Create digital mistake-proofing mechanisms for a variety of assembly and packing processes. Pathfinder tracks individual steps of an assembly process, and offers audible and visual alerts to help associates avoid mistakes. Pathfinder also provides native support for Signal Towers and Projectors to reinforce its alerts.
Maximize your engineers’ valuable time on action planning by letting Kaizen Copilot identify process issues. Propose solutions, and document the entire journey beyond implementation
Boost in IE productivity
LeanGPT to prescribe solutions
Faster time and motion studies
AI-Based station and line analysis
Cheaper ergonomic analyses
Computer vision for biomechanics and scene understanding
Eliminate documentation costs
Excel/PDF reports with charts and notes
Better internal collaboration
Unified web portal to streamline access
Assembly Copilot is deployed on several use cases which involve engine, battery pack, car door, front and rear wind-shield, and trunk or engine compartment assembly. The video showcases a demo which is available in our Seattle showroom, and mirrors some of our factory line deployments. Most of these deployments typically involve these sub-assemblies or entire car assembly moving on a conveyor belt. Copilot natively supports such moving assembly lines, as well as multiple camera deployments.
Assembly Copilot has been deployed on kit packing use cases across a variety of industries from hardware to medical equipment. Production managers often worry about missing components in the packages that leave the factory floor. Copilot’s step tracking technology is the perfect fit to ensure that an operators placed all relevant parts into the kit before packing it.
Assembly Copilot is deployed on complex use cases involving small assemblies. Here a planetary gear assembly is built which involves multiple layers of bearing balls, carriers and greasing. Note how it would be impossible to track such a process with merely human skeletal tracking, because the steps in this process are all performed on a tiny spatial region i.e. the planetary gear box. In these situations our proprietary technology saves the day by finely tracking human body as well as objects including tools, parts, and assemblies that the operator interacts with
Assembly Copilot works on sophisticated electronics device assembly, involving a large number of steps. Here we showcase a real medium-volume process deployed on a Shenzen factory line. Note how the system is able to track and distinguish even fairly subtle steps.
Assembly Copilot has also been applied to hardware use cases involving small components. The key to successful deployments in these cases lie in positioning the camera such that it is able to observe all the steps that need to be tracked, as well as a standardized process where parts are picked from fixed locations. This video additionally showcases the object detection capability of the platform which is valuable in some situations to disambiguate similar looking steps.
Assembly Copilot is deployed on a bench top assembly process where a gas filtration sub-assembly is being built. This sub-assembly in-turn fits into large water jet cutting systems. The video shows how the system highlights individual missed steps as the assembly is being performed, and tracks as these missed steps are completed.
Apply facial blurring before data storage.
Pixelate fixed part of camera region.
Pixelate fixed part of camera region.
Apply facial blurring before data storage.
Apply facial blurring before data storage.
Pixelate fixed part of camera region.
Inherently superior security, scalability, flexibility, and cost-efficiency compared to on-prem software
Separate S3 bucket for each organization. ISO-27001, SOC2, and GDPR Compliance guaranteeing information security.
LeanGPT models trained exclusively on public-domain data outside of copyright protections and proprietary data owned by Retrocausal.
Azure Active Directory, Okta and QRadar and Plug-and-play support for InfoSec complaince
Retrocausal solutions team visits your
facility to deliver custom integration
Brandin and his team help our customers with setting up the Pathfinder platform and getting up-to-speed on all the features and functionalities, in addition to assisting them with standardizing their processes where needed.
Brandin is a seasoned manufacturing leader, who has spent more than a decade designing and setting up assembly lines in both the US and China, optimizing them, and working with human operators to maximize productivity and quality.
Jesse works closely with our marquis customers to understand their needs, and figures out the best solution that immediately adds dollars to their bottom line.
Jesse has two decades of enterprise sales experience. He has held sales leadership roles at pioneering technology 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.
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.
