Leading provider of AI-Powered Connected Worker Software welcomes industry veteran with more than 20 years of global sales and business development experience

HORSHAM, PA – JANUARY 29, 2020 – Augmentir, Inc., a leading provider of connected worker software for industrial companies, today announced that Pete Stamatis has joined the company as Vice President of Sales. Pete will assume responsibility for all aspects of Augmentir’s revenue expansion including sales team leadership, new channel development, and customer success.

Stamatis brings over 20 years of global sales and business development experience to Augmentir, with the majority of that experience leading enterprise SaaS sales teams. Before joining Augmentir, Stamatis was the Director of Sales at Thermo Fisher Scientific for the Unity Lab Services Division leading their sales team across North America. Prior to Thermo Fisher Scientific, Stamatis lead teams at Health and Safety Institute and Verisk 3E selling SaaS-based Environmental Health and Safety Platforms as well as Learning Management System Platforms. His experience spans selling into a wide range of industries and delivering exceptional customer experiences while driving growth.

“We are excited to welcome Pete to the Augmentir team,” stated Russ Fadel, Co-Founder and CEO of Augmentir. “Pete brings a wealth of experience and knowledge to our executive leadership team, and his efforts will be critical to achieving our global growth plans.”

“The Augmentir team has a rich history and strong reputation in bringing innovative software to the industrial sector,” stated Stamatis. “With a growing momentum in the connected worker space, there is a tremendous opportunity for Augmentir to continue to address some of the most critical issues that the manufacturing industry is facing today.   Augmentir’ AI-first approach offers unique solutions to closing the rapidly expanding skills gap, and the loss of tribal knowledge due to the aging workforce.  I’m excited to join the team and help extend Augmentir’s position as a market leader.”

The addition of Stamatis comes at a time where Augmentir has seen rapidly expanding demand and new customer growth.  Augmentir’s AI-powered connected worker platform is being used by companies of all sizes in manufacturing, production, energy, and service to help frontline workers perform their jobs with higher quality and increased productivity while closing the skills gap, seamlessly capturing tribal knowledge, and seizing opportunities that drive continuous improvement. The platform provides software that helps guide frontline workers with augmented, step-by-step-instructions, assists workers with live remove expert collaboration, and utilizes its AI engine to deliver organization-wide insights and recommendations that focus on improving the quality and productivity of frontline workers.

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About Augmentir

Augmentir is the world’s only AI-Powered Connected Worker platform for industrial companies. Augmentir is the first of its kind to combine enterprise augmented reality (AR) with artificial intelligence and machine learning (AI/ML) to help frontline workers perform their jobs with higher quality and increased productivity while driving continuous improvement across the organization. Augmentir is being used to help intelligently guide and support frontline workers in a wide range of industrial use cases – from manufacturing teams on the shop floor to service and repair teams out in the field. For more information, please visit www.augmentir.com.

The growing skills gap in the manufacturing industry, combined with a tight labor market, is creating increased challenges for manufacturing companies of all sizes. In fact, in 2019 more than 25% manufacturers had to turn down new business opportunities due to a lack of workers, according to a report from the National Association of Manufacturers (NAM).

What’s behind this growing skills gap problem?

One key factor is the extraordinary number of retiring workers who are walking out the door with vast amounts of experience and skills. Unfortunately, for most manufacturers the knowledge possessed by this senior workforce has yet to be captured in any digital or electronic format. At the same time, a younger, more tech-savvy generation of unskilled workers is coming into the market. They may have the attitude and aptitude, but lack the skills required to effectively participate in day-to-day operations.

This lack of a skilled frontline workforce is creating an increased focus for manufacturing companies on training and up-skilling their workers. A recent article highlighted some staggering statistics on what lies ahead. According to the Manufacturing Institute: “Manufacturers are set to spend $26.2 billion on internal and external training initiatives for new and existing employees in 2020 to combat the shortage of available workers. Nearly 70% of manufacturers said they are creating or expanding training programs for their workforce. Three-quarters of respondents said upskilling workers helped to improve productivity, promotion opportunities and morale.”

Using Artificial Intelligence to Close the Skills Gap

Fortunately, manufacturers are turning to emerging digital technologies to equip and train their workforces with the tools and knowledge needed to be productive. Technologies such as mobile and wearable devices, augmented and mixed reality (AR/MR), and artificial intelligence (AI) are helping to connect a new generation of workers, and are allowing organizations to proactively deliver the right level of support and guidance.

One of the most notable examples of technology adoption is using artificial intelligence to augment human activity in manufacturing.

Artificial Intelligence has been branded as a threat to replace the human workforce, but some leading manufacturing companies are turning to AI as a way to help onboard and train new workers.

Artificial Intelligence is increasingly being used to augment, not replace, the human workforce. AI is uniquely able to address the fundamental macrotrends of growing skills gaps and the loss of tribal knowledge.

Supported by an increased level of connected-ness of today’s frontline workers, AI systems are capable of taking in large amounts of data and finding correlations and patterns that can be used to help improve productivity, enhance skills, and provide more cost-effective, targeted training. With an ecosystem of content authors, frontline workers, subject matter experts, operations managers, continuous improvement engineers, and quality specialists, there are dozens of opportunities to address the skills gap, improve quality, and improve performance.

Using AI to Reduce Training Time

In one example, Bio-Chem Fluidics, a manufacturer of high performance pumps and valves for clinical diagnostics and analytical chemistry applications, is using AI combined with digital work instructions to improve the onboarding and training process for their new technicians and operators. One of the most significant impacts were achieved with training and onboarding new operators.

According to Bio-Chem, the company’s training time for temp workers has been reduced by over 80%.

“Augmentir has made our complex procedures very repeatable for operators of all skill levels. As a result, our training time for new operators has been reduced by over 80%. The flexibility and ease-of-use of the Augmentir platform have made it painless to implement across our company.”

Linsey Holden-Downes, Vice President of Operations at Bio-Chem

The company uses Augmentir’s AI-powered connected worker platform to digitize and standardize their work instruction library, and leverages Augmentir’s AI to deliver insights that are helping them optimize their training efforts.

After adopting Augmentir, it now takes their team lead roughly two weeks to fully train a new hire whereas prior to Augmentir, it would have taken three months of supervision. Additionally, the time spent monitoring new hires is dramatically reduced from an estimated 50% of a team lead’s time to just 10%.

Using AI to Augment Digital Work Instructions

Like Bio-Chem, many manufacturing companies rely on knowledge that is either recorded on paper or trapped in the heads of their senior workforce. With the increase in skilled technicians that are retiring, this is creating an urgency for companies to act.

STRONGARM, a Pennsylvania-based manufacturer, recently dealt with these issues. STRONGARM designs and builds ergonomic and environmentally protected workstations for companies in a wide range of markets, including food, pharmaceutical, CPG, packaging, and transportation. In recent years, the company faced growing challenges within its operation – an aging and retiring workforce, talent shortage, and increased competition – which increased pressures to produce high quality products at lower costs.

STRONGARM’s initial focus was on the assembly and final quality control processes for the company’s most complex workstation and industrial display unit. Augmentir’s rapid authoring environment allowed STRONGARM to quickly migrate their existing paper-based instructions to digital, augmented instructions that incorporated rich media, checklists, verifications, and several other features that were central to their assembly and QC processes.

According to Steve Thorne, General Manager at STRONGARM, “Augmentir’s AI-based ‘True Opportunity’ system enables us to gain insight into how our technicians are performing, and autonomously identifies our largest capturable opportunities across our entire operation.”

“When one of our senior and most experienced technicians retired recently, we were able to onboard a new technician and trust Augmentir’s AI engine to guide him during the learning curve to get product out the door at 100% quality so that we didn’t miss shipments. Once Augmentir’s AI engine determined that the worker had become proficient, it recommended that the instructions should be adjusted to enable him to complete the job faster while still meeting quality and safety goals.  This has resulted in a 20% reduction in average build time in our most complex workstations.”

Steve Thorne, General Manager, STRONGARM

The level of personalization that an AI-based system can deliver to work procedures and instructions allows companies to not only address initial skill gaps but also deliver continual improvements over time.

Intelligently supporting workers in real-time with remote experts and AI-bots

The benefits that AI can bring to industrial companies are not limited simply to standard operating procedures, work instructions, or training. Companies are also turning to AI as a way to intelligently guide and support frontline workers with real-time decision support. Connected workers are increasingly relying on “Remote Expert” capabilities to leverage the expertise of senior colleagues for on-the-job troubleshooting and problem solving. As we look ahead, AI-bots will be able to capture tribal knowledge of these subject matter experts during remote expert sessions, and intelligently guide workers that are experiencing the same situations.

Addressing the Skills Gap with Augmentir

At Augmentir, our AI identifies patterns and generates insights based on analyzing data from connected workers. These insights improve worker performance as well as provide positive impact on training, operational workflows, and quality.

Digital Work Instructions help guide connected workers with visual aids and augmented with AI-driven insights and contextual information enable workers to perform at their best.

Integrated Remote Expert assistance helps workers resolve issues faster using insights from Augmentir’s AI and information from the guided procedure.

Augmentir’s AI uses granular data  to identify the largest opportunities in improving the skills of the frontline workforce, and helps to drive continuous improvement throughout the organization.

If you’d like to see how our AI is able to help your organization address the skills gap by and uncover and rank “True Opportunities” across your workforce, sign up for a free 30-day trial of Augmentir.

Gartner recently published their annual Hype Cycle for Manufacturing Operations Strategy and Innovation in Manufacturing Industries. These two Hype Cycles focus on the leading-edge technologies and methodologies that will significantly change how manufacturers innovate, deliver and support products and services.

Augmentir was recognized as an important player in both Hype Cycle reports.

Emerging Technologies in Manufacturing

According to the report, “manufacturers that adopt the breakthrough opportunities presented as innovation profiles on this Hype Cycle will accelerate digitalization that increases the agility and ability to innovate products and business operations”.

These Hype Cycles, which reflect the convergence of the physical and virtual worlds, present several key mature and emerging technologies, including the following:

  • Connected Worker: Connected workers use digital technologies to improve and integrate their interactions with both physical and virtual surroundings. Through the use of digital work instructions, as well as augmented/mixed reality delivered through mobile/wearable devices, they are able to make faster and better decisions that optimize and improve a process or workflow that they participate in.
  • Immersive Experiences – Manufacturing Operations: According to Gartner, immersive experiences refer to enabling the perception of being physically present in a nonphysical world or enriching people’s presence in the physical world with content from the virtual world. The report covers three kinds of immersive experiences: Augmented Reality (AR), Mixed Reality (MR), and Virtual Reality (VR).
  • Machine Learning: Machine learning is a technical discipline that identifies patterns and generates predictions based on analyzing large sets of data. According to Gartner’s research: “In manufacturing operations, machine learning (ML) can take advantage of available data and rely on the algorithms to identify patterns and correlations. It can also use them to predict outcomes, to find the best course(s) of action and to control processes. Typical use cases include eliminating unplanned downtime and stoppages, increasing yield optimization, reducing energy usage, improving product quality or stabilizing production processes.”

Augmentir is mentioned in the context of Connected Workers and Immersive Experiences in Manufacturing Operations as software and solution provider.

Augmentir’s Approach to Connected Workers and Immersive Experiences in Manufacturing

Augmentir sits and the intersection of these innovation profiles, using artificial intelligence and machine learning (AI/ML) to amplify the value that digital technologies bring to the connected worker.

Digital Work Instructions help guide connected workers with visual aids and augmented with AI-driven insights and contextual information enable workers to perform at their best.

Integrated Remote Expert assistance helps workers resolve issues faster using insights from Augmentir’s AI and information from the guided procedure.

Augmentir’s AI uses granular data  to identify the largest opportunities in improving the skills of the frontline workforce, and helps to drive continuous improvement throughout the organization.

At Augmentir, our AI identifies patterns and generates insights based on analyzing data from connected workers. These insights improve worker performance as well as provide positive impact on training, operational workflows, and quality. According to Gartner, “The possibility of predicting performance is extremely attractive for manufacturers. This is driving the strong interest in ML. ML is an essential enabler of artificial intelligence (AI), smart factories and intelligent automation”.

Our view at Augmentir is that the purpose of a connected worker platform isn’t simply to deliver instructions and remote support to a frontline worker, but rather to optimize the performance of the connected worker ecosystem. Artificial intelligence is uniquely able to address the fundamental macrotrends of growing skills gaps and the loss of tribal knowledge. With an ecosystem of content authors, frontline workers, subject matter experts, operations managers, continuous improvement engineers, and quality specialists, there are were dozens of opportunities to improve performance.

If you’d like to see how our AI is able to uncover and rank “True Opportunities” across your workforce and improve overall worker performance or drive continuous improvement, sign up for a free 30-day trial of Augmentir.

Artificial Intelligene

This post by Augmentir CEO Russ Fadel was originally published on Medium.

I have been a fan of Marc Andreessen since the Netscape days — he has consistently predicted the macro changes in numerous marketscapes before virtually anyone else. Recently, I was watching Marc on Youtube “Why You Should Be Optimistic About the Future” and found his discussion on AI particularly enlightening, and in complete alignment with Augmentir’s journey. The entire video is worth watching, but the discussion on AI runs from between the 7:00 to 9:00 minute mark.

Some of the most insightful (paraphrased) quotes include:

  • “There is a more fundamental question — is AI a feature or an architecture?”
  • “A16z sees this with most start-up pitches now — ‘here are the 5 things my product does…and oh yeah, AI is always bullet number 6.’ Number 6 because it was the bullet they added after they created the deck”
  • “If AI is a feature, then this is correct, where every product will have AI sprinkled on it.”
  • “We (a16z) believe AI is an Architecture, and if it is, everything above this will need to be rewritten.”
  • “Ultimately, the goal of AI is to answer questions, even before the have been posed.”

At Augmentir we had to make a strategic decision at the time of company founding (late 2017), as to whether AI was going to be a feature of our connected worker platform or, whether it was going to be the architecture that our connected worker functionality ran on. We didn’t frame the decision as elegantly as Marc did, but we nevertheless asked, “will AI be a feature of our product or will it be pervasive?”

Even though no one in our space had chosen this path, we decided AI would be pervasive. We postulated that the purpose of a connected worker platform wasn’t to deliver instructions and remote support to a frontline worker, but rather to optimize the performance of the connected worker ecosystem. We knew that AI was uniquely able to address the fundamental macrotrends of growing skills gaps and the loss of tribal knowledge. With an ecosystem of content authors, frontline workers, subject matter experts, operations managers, continuous improvement engineers, and quality specialists, we predicted that there were dozens of opportunities to improve performance.

By building our connected worker platform on an AI architecture, all data is automatically pipelined, labelled, and cleansed, and is immediately available to start generating insights and recommendations. On this journey, the scope of what we can use AI for has even surprised us. Our initial thoughts were on personalizing instructions and content to make each frontline worker perform this current task safely and as quickly as they can, given their current proficiency. This immediately expanded to a generalized True Opportunity™ system that uses AI to stack rank where an organization has the largest capturable opportunities across all stakeholders. The range of this is astounding: which jobs have the largest monthly opportunity, which workers can benefit from targeted training, what is the optimum time to perform any given task, what inline training material can benefit from an update, what content/procedures would benefit the most from an update, etc.

The future looks even more fantastic — AI bots offer a realistic opportunity to capture tribal knowledge and convert it to a scalable corporate asset, and AI Diagnostic bots to make everyone an immediate expert.

This is only possible when you view AI as an architecture, not as a feature.

If you’d like to see how the AI architecture of our connected worker platform is able to uncover and rank “True Opportunities” across your workforce and improve overall worker performance or drive continuous improvement, sign up for a free 30-day trial of Augmentir.


Leading manufacturer of high performance pump and valve solutions improves frontline worker performance across its manufacturing operation and reduces training time by over 80% with Augmentir’s software platform

HORSHAM, PA – SEPTEMBER 17, 2019 – Augmentir, Inc., a leading provider of augmented worker software for industrial companies, today announced that Bio-Chem Fluidics, a manufacturer of high performance pumps and valves for clinical diagnostics and analytical chemistry applications, has deployed Augmentir across its operation, resulting in improved manufacturing processes and productivity. Today’s announcement comes on the heels of the launch of Bio-Chem Foresight, intelligent pumps and valves that utilize the Company’s new Foresight Predictive Technology, further demonstrating Bio-Chem’s commitment to innovation.

Founded in 1983, Bio-Chem Fluidics designs and manufactures high-performance pump and valve solutions for leading instrumentation OEMs in the global Clinical Diagnostics, Analytical Chemistry, Water Quality and Medical Device markets.  Bio-Chem’s staying power is the result of the Company’s enduring mission to passionately provide high technology solutions in the Life Science Instrumentation marketplace to improve quality of life for everybody, every day. With its newly announced deployment of Augmentir’s software platform, Bio-Chem has reaffirmed its commitment to innovation and continuous improvement in its manufacturing processes and product quality.

Augmentir’s Augmented Operations™ platform enabled Bio-Chem Fluidics to:

  • Move from Paper-based to interactive augmented instructions for assembly and QA procedures
  • Collect and provide insights on the granular assembly data required for their Lean Manufacturing initiatives and increasingly stringent regulatory requirements
  • Drive quality improvements through validation of critical assembly steps
  • Provide built-in “training” for less experienced assemblers and temps
  • Reduce training time by over 80% (from three months down to two weeks)

“Augmentir has given us the power to make data driven decisions regarding our operational environment,” stated Conor Puckett, Continuous Improvement Engineer at Bio-Chem Fluidics.  “By looking at the insights generated from the Augmentir platform, we are able to identify problems in our historical procedures that have been hidden until now, and we have identified a handful of potential continuous improvement projects from just the first few months of clean data.”

Linsey Holden-Downes, Vice President of Operations at Bio-Chem, added, “Augmentir has made our complex procedures very repeatable for operators of all skill levels. As a result, our training time for new operators has been reduced by over 80%. The flexibility and ease-of-use of the Augmentir platform have made it painless to implement across our company. Employees at Bio-Chem have really engaged with the Augmentir platform as there is a strong value proposition for all levels of the organization.”

“We are excited to partner with a forward-thinking company like Bio-Chem.  Their organizational commitment to continuous improvement made our AI-based Augmented Operations platform a perfect fit for their goals,” stated Russ Fadel, CEO of Augmentir.  “Augmentir goes beyond traditional electronic work instructions by combining high granularity data collection with automatic Artificial Intelligence insights and recommendations to help focus organizations on their largest True Opportunities™ across productivity, quality, and training.  We look forward to continuing this journey with Bio-Chem in the future.” The Augmentir Augmented Operations Platform includes complete functionality that makes it easy for industrial companies to improve their operations across a range of manufacturing and service use cases. The Platform provides software that helps guide frontline workers with augmented, step-by-step-instructions, assist workers with live remove expert collaboration, and utilizes its AI engine to deliver organization-wide insights and recommendations that focus on improving the quality and productivity of frontline workers.

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About Augmentir

Augmentir is a leading provider of augmented worker software for industrial companies. Its flagship offering, the Augmented Operations™ platform, is the first of its kind to combine enterprise augmented reality (AR) with artificial intelligence and machine learning (AI/ML) to empower frontline workers, helping workers perform their jobs with higher quality and increased productivity while driving continuous improvement across the organization.  For more information, please visit www.augmentir.com.

About Bio-Chem Fluidics

Bio-Chem designs and manufactures high performance pump and valve solutions for leading instrumentation OEMs in the global Clinical Diagnostics, Analytical Chemistry, Water Quality and Medical Device markets. Bio-Chem Fluidics’ dedicated commercial teams work closely with OEMs to solve fluid control issues with renowned engineering prowess and industry leading fluidic components Bio-Chem Fluidics, headquartered in New Jersey, is a subsidiary of Halma plc, and a part of the Halma Medical and Environmental Sector. For more information, please visit www.biochemfluidics.com.