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Computer Vision Platform for Manufacturing

Measure and improve manual production processes
using AI-powered vision systems.

Improved quality & safety

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Improved asset utilization

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Improved production flow

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Why i-5O

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0 %
Process tracking accuracy
0 %
Increased production capacity
$ 0 k
saved per station

Our Success Stories

Our experience
Our experience

Don't Just Take Our Word For It

Let's Get Started

Our vision is to create a future where man and machine work together in harmony.   

Investing in TechnologyRelationshipsthe Future

As robotics and automation become ever more pervasive in society, we are creating technology that enhances human performance so that our children can have a meaningful future.

Gaining Unprecedented Visibility

Manufacturers have deployed i-5O to gain unprecedented visibility into their manual production processes.

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Observe

Generate data from your manufacturing line

Collect

Integrate your systems with our process data

Transform

Extract, transform, integrate, and analyze incoming data from all sources

Analyze

See detailed stats, reports, and analytics

Simulate

Use AI and ML to generate predictive data and simulate possible scenarios in VR

Optimize Your Labor Costs

A manufacturer in heavy industry with continuous production processes that has invested in automation still rely on human operators to perform equipment setup, maintenance, and changeovers. The challenge that they experienced was that their production equipment was sensitive to the work the human operators performed. Any manual operation performed incorrectly on the equipment would lead to the manufacture of defective products that either needed to be reworked or scrapped.

This manufacturer deployed i-5O to ensure that their human operators were adhering to all standard operating procedures when working on their production equipment. By decreasing errors in setup, maintenance, and changeovers, this manufacturer was able to reduce their scrap and rework rates.

Reduce Rework and Scrap Rates

A manufacturer facing macro economic headwinds realized that they needed to be more efficient in production else they would be put out of business by their competition. They had already invested in sensors to capture machine data so that they could calculate Overall Equipment Efficiency. However, when it came to their workforce, they relied on time clocks and their industrial engineers to perform time and motion studies in an attempt to know their Overall Labor Efficiency.

Given the limitations of time and motion studies performed by industrial engineers, they ended up with highly inaccurate and biased data regarding labor efficiency as they were unable to capture productive time by the operators on a continuous basis. At best they would conduct time studies for 1 hour per week and they noticed that the operators would improve their performance when they were being watched. The industrial engineers knew this because there were significant differences in production output when time studies were performed versus when they were not. This was a big problem for this company as none of the production teams knew what their true Overall Labor Efficiency was and upper management needed these numbers for capacity planning purposes. As this industry was highly cyclical, it was imperative for them to know how to staff efficiently to avoid large fluctuations in headcount.

This manufacturer deployed i-5O in their production facility to continuously monitor the cycle time of the manual processes performed by their work force to get a better and more granular understanding of their Overall Labor Effectiveness in real-time. With the metrics provided by i-5O, they were able to streamline their production processes and save on labor costs.

Better Production Planning

A manufacturer with u-shaped assembly cells would plan production based on client demand. As client requests change, they would need to reconfigure their cells and operator schedules. They would send industrial engineers to do 1-hour long time studies on their assembly cells to understand how to configure their cells and to understand their staffing needs. Because they were a 3 shift operation, the data sample they generated in 1 hour was not a true representation of their processes and they would either understaff and fail to meet their production goals or overstaff and incur excessive labor costs.

With i-5O, this manufacturer now has continuously visibility into their assembly operations and know their capacity per process per operator. They are now able to effectively plan production and meet market demand.

Improve Consistency in Manual Processes

A manufacturer with complex assembly operations, with over 25 process steps per part number, experienced a high degree of variation in cycle time from operator to operator even though they had a Manufacturing Execution System in place that provided each operator with the exact assembly instructions for each part number at each station.

This issue was causing them significant production delays resulting in lost revenue per month. Before this manufacturer started using i-5O, they relied on time studies to figure out how to improve their assembly operations at key work station. However, the time studies showed minimal variation between operators even though there were significant differences shown by longer term data captured in their Manufacturing Execution System.

They deployed i-5O onto their production floor to continuously generate data on their manual processes. They discovered that significant differences in operator performance were driven by variation in the sequencing of the process steps. A significant piece of information they noticed was that their best performing operator had a certain set of best practices that were not being documented for others to follow.

Empowered with this knowledge, the manufacturer improved their training processes at key work stations, improved the lay-out of the key work stations for optimal assembly, and improved their standard work instructions. The changes that they implemented allowed them to make their cycle times more consistent especially for the key work stations thereby improving their monthly production output to fulfill market demand consistently with minimal delays due to production issues.

Artur Iatsko

Full-Stack Developer
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Stefanie Martillo

Business Development Associate
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Khizer Hayat

CTO & Co-Founder

Khizer is the CTO of i-5O and leads product development at the company. His educational background is in AI & Robotics having graduated with Masters from the University of Pennsylvania and he spent 4+ years optimizing production processes using automation at Toyota Motor Corporation and Schlumberger Technology Corporation before joining the start-up world. In his free time he loves travelling, outdoor activities and is an avid Arsenal fan.

Albert Kao

CEO & Co-Founder
Albert is responsible for building relationships with team members, customers, and investors at i-5O. Albert is a technology sales professional with experience selling data, analytics, and AI products to create new markets at innovative startups such as MixRank and App Annie. Prior to joining the tech industry, Albert promoted foreign direct investment into ESG sectors at the United Nations and corporate social responsibility at the Business Humanitarian Forum. Albert double majored in Economics and Diplomatic History at the University of Pennsylvania. In his free time he enjoys swimming and golf.