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Privacy Policy

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i-5O Privacy Policy

This privacy policy applies to these entities:



It will explain how our organization uses any personal data we might collect from you when you use our services.

What data do we collect?

Our company collects Video Feed from the production line.

How do we collect data?

The camera is installed using our edge device, Cerberus. It records data and uploads it to the AWS S3 bucket.

How will we use your data?

The video data is primarily used for deep learning model training, model maintenance and for traceability.

Legal basis of data collection

Processing is necessary for the performance of a contract to which the data subject is party or to take steps at the request of the data subject prior to entering a contract. We can’t perform the work for our clients without processing the video feed as our entire system needs to get trained up on client data to detect the different production operations and generate the required output metrics.

Whether or not we share it with any third parties

The data is shared with our vendor Data Dojo which is responsible for annotating the data. Data Dojo takes strict measures to ensure information security and preserve the privacy of our users. It is also ISO 27001 compliant.

Where do we store and secure your data?

Data is stored in 2 locations:

  • – AWS cloud whose access is controlled and restricted.
  • – Local systems that are password protected and restricted.
*IFIVEO INC, IFIVEO CANADA and DATA DOJO PVT LTD are all ISO-27001 (2013) certified.
How long do we keep your data?

Data is stored for a period of 5 years unless otherwise specified in the contract.

What are your data protection rights?

Our company would like to ensure that you are fully aware of your data protection rights. Every user is entitled to the following:

  • – The right to access: You have the right to request i-5O for copies of your personal data.
  • – The right to be aware: You have a right to request i-5O to inform you how your personal data is being used.
  • – The right to rectification: You have the right to request that i-5O correct any inaccurate or incomplete information.

– The right to erasure: You have the right to request that i-5O erase your personal data, under certain circumstances.
– The right to restrict processing: You have the right to request that i-5O restrict the processing of your personal data, under certain circumstances.
– The right to object to processing: You have the right to object to i-5O’s processing of your personal data, under certain circumstances.

*If you make a request, we have one month to get back to you. If you would like to exercise any of these rights, please contact us at our email mentioned below.

Changes to our privacy policy

i-5O keeps its privacy policy under regular review and places any updates on this page. This policy was last updated on 3/10/2022.

How to contact us?

If you have any questions regarding our company’s privacy policy, the data we hold on to you or would like to exercise one of your data protection rights, please do not hesitate to contact us.

Email us at:

Write to us: 801 Brickell Ave. 8th Floor, Miami FL 33131, USA

Furthermore, you can contact our DPO at:



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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.