DDN®, the global leader in artificial intelligence (AI) and multi-cloud data management solutions, today announced Helmholtz Munich has selected DDN to accelerate its AI-driven discoveries. As part of the Helmholtz Association, Germany’s largest research organization, Helmholtz Munich is one of 19 research centers that develops solutions and technologies for the world of tomorrow. The research integrates AI methodologies and spans multiple data-intensive computational applications like decoding plant genomes, tissue sample testing or creature and epidemiology cohort studies.

Helmholtz Munich’s scientists and researchers continuously pursue new ways to solve complex problems faster, requiring a reliable solution that could keep up with research demands.

“The knowledge that Helmholtz Munich gains from its research forms the foundation of tomorrow’s medicine and delivers concrete benefits to society and improvements to human health,” said Dr. Alf Wachsmann, head of DigIT Infrastructure & Scientific Computing, Helmholtz Munich. “DDN’s decades of experience, world-class customer support and high-performing and reliable architecture helps me help my researchers continue their work without disruption today, and well into the future.”

Helmholtz Munich has four fully populated SFA® ES7990X systems that span a global namespace, enabling easy control and management of large data sets, streamlined workflows and unmatched performance needed to reduce time to discovery. The center also implemented an SFA NVMe ES400NVX system with GPU integration that delivers faster data throughput with direct datapaths between storage and GPU specifically for its intensive AI applications. The DDN EXAscaler® parallel filesystem appliances significantly accelerate Helmholtz Munich’s researchers’ ability to accelerate discovery processes while mitigating day-to-day risk associated with the ingest, distribution and analysis of Big Data.

“DDN EXAscaler’s performance is just one part of the complete AI storage picture with unmatched capabilities in security, stability, user and data management, and was built to tackle today’s most demanding AI end-to-end requirements at any scale,” said Kurt Kuckein, vice president of marketing, DDN. “DDN is honored to assist Helmholtz Munich by delivering solutions that allow its researchers to focus on the scientific discoveries that improve the world of tomorrow.”

Click here to learn more about Helmholtz Munich’s infrastructure challenges and the immediate benefits of implementing the DDN systems to accelerate the cutting-edge biomedical research taking place in Germany.

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Today Orby AI (“Orby”) has announced that it emerged from stealth to further develop its AI platform designed to democratize the use of Generative AI to automate repetitive human processes. The company also announced that it has raised $4.5M in seed funding from lead investors Pear VC and New Enterprise Associates, Inc. (NEA), with additional investment from Wing VC. The funding will be used to continue growing the team and further the research and development. Through its beta-stage development thus far, Orby has partnered with some of the world’s largest tech enterprises and other medium-sized companies.

According to a McKinsey Future of Work report, 60% of jobs have at least 30% of the work that is repetitive and automatable¹. Much of that work entails processing payments across finance and accounting departments, ticket resolution for customer support, and inputting lead management data for sales teams. Orby provides a unique “observe, learn, and automate” end-to-end experience. Orby observes a user’s activities, identifies repetitive work steps, and automatically generates code that ultimately automates these tasks. Moreover, Orby works behind the scenes to continuously learn from human feedback, becoming smarter over time with no coding involved whatsoever.

“If we think about an abacus, a computer, or any software, we have always learned to use tools to help us do our work,” shared Bella Liu, Orby AI’s Co-Founder and CEO, and Will Lu, Orby AI’s Co-Founder and Chief Technology Officer. “What if AI can learn from us and then just do the work for us?”

They continued, “With the continual breakthroughs in AI, especially foundation models, and Orby’s world-class AI/ML talent team, we are excited to push the boundaries of what AI can do to revolutionize how people interact with AI.”

“Upon meeting Orby AI’s team, our views on AI automation’s potential found a perfect match. Our partnership has led to a world-class team that exceeds expectations, forging the future of AI observation and actions. Orby’s technology, already trusted by large enterprises, enables robust workflow automation at the speed of innovation for both enterprises and end users — a game-changer. We’re thrilled to partner with Orby AI, ushering in this transformative future.” said Arash Afrakhteh, Partner at Pear VC who also joined Orby’s board of directors.

“The Orby AI founding team has a clear vision, deep domain knowledge, and technical expertise in building state-of-the-art AI systems. We are impressed with their lightning speed to productize AI research capability and iterate based on real customers’ feedback. We are excited to partner with this team to see them fundamentally change how people get their work done.” said Scott Sandell, Managing General Partner at NEA. 

Orby AI’s founding team has spent the last decade in the AI automation industry and deeply understands the problem and solution space firsthand. Bella Liu led the AI product team at UiPath, a leading software automation company, from the early stage to post-IPO. Will Lu led the engineering team at Google Cloud AI and built state-of-the-art AI systems from scratch, including Knowledge Service, Doc AI, and Enterprise Knowledge Graph. Working with Liu and Lu at Orby is a deeply knowledgeable team consisting of world-class AI/ML researchers and engineers from Google, Stanford, and other leading AI startups.

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Today’s announcement is a catalyst for QScale’s growth strategy, providing key financing and a strong, complementary operating partner in Aligned. Aligned, which is majority owned by funds managed by Macquarie Asset Management, is a leading technology infrastructure company offering innovative, sustainable, and adaptive scale data centers and build-to-scale solutions for global hyperscale and enterprise customers. The strategic investment will enable QScale and Aligned to accelerate their growth strategies through a robust supply chain and an expanded portfolio of readily available and future data center capacity across the Americas – all backed by long-term capital investment. Aligned strongly supports QScale’s vision to showcase Québec’s technological talent to the world through its next-generation computing infrastructure.

Headquartered in Lévis, Québec, QScale develops environmentally responsible computing centers supporting applications such as high-performance computing (“HPC”) and machine learning. QScale is focused on serving the high-density workload market, a segment for which Altman Solon has validated rapid growth – this is driven by AI processors that Omdia projects will grow at a CAGR above 35% through 2026.

QScale is positioned at the front end of the high-density computing value chain, featuring facilities equipped with cutting-edge technological infrastructure that optimizes energy efficiency and computational power. Leveraging proprietary waste heat recovery systems, QScale’s facilities capture heat from high-performance servers and feed the excess thermal energy to adjacent greenhouses, aquaculture projects, and non-profit community organizations, generating significant environmental and social benefits for local Québec communities. Additionally, QScale’s campuses benefit from the region’s extensive hydropower and wind resources, offering renewable power at a lower cost.

In addition to providing leading computational capabilities and energy efficiency, each state-of-the-art campus is expected to bring hundreds of lucrative and skilled jobs to its local community. Global companies seeking to meet their growing computational needs while achieving their ESG objectives view QScale’s campuses as ideal hubs for business and scientific research.

“We are delighted to welcome Aligned as a strategic partner and investor, supporting our mission to become a foremost sustainable digital infrastructure leader in Québec. This financing will enable us to accelerate our growth strategy and broaden our world-class high-density computing centers throughout the province, fostering skilled job opportunities and spurring economic development in local communities,” said Martin Bouchard, CEO of QScale.

“Aligned is continuously innovating across every aspect of our business to ensure that the future demand for our global hyperscale and enterprise customers will be met in an innovative, sustainable, and adaptive manner. Our investment in QScale is a perfect example of our future-proof approach to expansion, and we are excited to partner with the company to accelerate its growth strategy to build leading, sustainability-focused HPC ecosystems,” said Andrew Schaap, CEO of Aligned.

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Bloomberg Law today announced the launch of Bloomberg Law Contract Solutions, its AI-powered solution for storing, searching, drafting, and negotiating contracts. This new easy to use and implement product was developed in close consultation with corporate legal teams and with feedback from hundreds of in-house attorneys and legal professionals. Bloomberg Law Contract Solutions will be introduced at a live virtual event on Thursday, May 11 at 1:00 p.m. ET, accessible at http://onb-law.com/xYZk50OfKjg.  

Bloomberg Law Contract Solutions uniquely features:

• A secure, centralized repository, including a database of automatically extracted clauses to deliver an organized single source of truth that can be filtered, sorted, and searched across – with little to no data entry.
• Seamless integration with Microsoft Word, allowing users to access their contract repository and clause library directly from their document, providing a fast and easy starting point for drafting and revising contracts. 
• Advanced analysis tools, accelerating the review of draft agreements and allow users to efficiently identify and incorporate preferred language to ensure favorable terms.
• AI-powered extraction of key contractual terms, providing greater visibility into final agreements to help identify and flag potential risks and obligations.

For more than a decade, Bloomberg Law has been leveraging artificial intelligence and machine learning to power some of its most innovative workflow technology, such as its award-winning litigation tool Points of Law and its transactional intelligence tool Draft Analyzer. Bloomberg Law Contract Solutions builds on this pioneering legacy, leveraging proprietary semantic search and natural language processing (NLP) technology to deliver advanced search engine and contract analysis features.

“The way that Bloomberg Law Contract Solutions uses AI in the clause identification tool is very helpful for our team because we do not have to do the guesswork of figuring out whether there is a modification to our agreement that requires our attention,” said John Prindiville, senior corporate counsel, VetCor and a Bloomberg Law Contract Solutions customer. “This new product enables you to think more clearly and be more focused in your negotiations. It saves you time, enabling you to be a better attorney and provide thoughtful responses. “

“Contracts are a pain point for every corporate legal department, whether they manage ten or 10,000 agreements,” said Joe Breda, president, Bloomberg Law. “We’re committed to helping legal teams operate more efficiently so they can spend their time on more high-value work. Bloomberg Law Contract Solutions is just the latest in a long line of offerings from us that fills a void in the workflow technology landscape.”

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Surgalign Holdings, Inc., (NASDAQ: SRGA) a global medical technology company focused on elevating the standard of care by driving the evolution of digital health, is proud to announce today, the release of HOLO AI Insights for use in neurovascular research.

HOLO AI Insights, initially launched in March 2023 for spine imaging, enables customers, partners, and clinical researchers to take advantage of the Company’s HOLO artificial intelligence (AI) portfolio through a secure, highly scalable cloud platform for automated analysis of medical images. HOLO AI, Surgalign’s portfolio of AI technology, utilizes convolutional neural network technology to automatically segment medical images, measure anatomic structures, automate pedicle screw planning, and perform other tasks.

With this latest release, HOLO AI Insights has evolved to now address neurovascular research. This latest addition to the Company’s portfolio, can analyze large sets of cranial MRI images, automatically identify 16 different structures, and aggregate the data for the user into configurable graphical and file formats. The insights generated by these results are believed to have multiple applications in population health, clinical research, and in the future, patient care.

Surgalign has partnered with Dr. Brian Jankowitz, a fellowship trained cerebrovascular neurosurgeon, for neurovascular research with HOLO AI Insights. “Most of the AI work done in the neurovascular space has focused on acute care with CT imaging and doesn’t help with measurement. HOLO AI Insights can automate volumetric analysis of vascular structures on MRI, which is a big leap forward in efficiency and more applicable to longitudinal comparisons than other tools available today,” said Dr. Jankowitz. “I believe that ultimately this technology will both speed our workflow and improve clinical guidelines by providing a significantly more detailed characterization of neurovascular structures.”

Dr. Jankowitz, MD is a neurosurgery specialist with extensive experience in Neurocritical Care Disorders. He is affiliated with the medical facilities Hospital of the University of Pennsylvania and Cooper University Hospital. He previously served as an associate professor of neurological surgery at the University of Pittsburgh School of Medicine and served as faculty of the UPMC Neurosurgery Department and UPMC Stroke Institute where he specialized in both open and endovascular neurosurgery. Dr. Jankowitz earned a bachelor of science degree from the University of Notre Dame and received his medical degree from Temple University School of Medicine.

“It’s an honor to partner with Dr. Jankowitz with a shared goal of advancing technology utilized by neuroanatomy researchers,” said Terry Rich, President and Chief Executive Officer of Surgalign. “Collecting patient-specific medical information from multiple sites to generate population level reports using AI technology holds tremendous promise to improve our knowledge of the brain. We believe processing larger volumes of data is an invaluable step to generate reference information to help medical professionals as we continue to look for new ways to leverage our AI portfolio.”

HOLO AI also powers Surgalign’s HOLO Portal surgical guidance system and HOLO AI Insights for Spine. The addition of HOLO AI Insights for neuroanatomy is a further step in Surgalign’s mission to transform patient care with artificial intelligence.

HOLO AI Insights is not intended to be used for patient treatment. Learn more at https://www.holo.ai.

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Pan Software is excited to announce the immediate availability of SOCRAITES, true Artificial Intelligence for the Risk Management industry. Pan Software released its next gen Risk Management platform (https://www.riskware.com.au/) at the 2023 Risk Management Institute of Australasia annual conference with AI integration.

The world has evolved to the point where AI technology can now be leveraged to not only gain greater insights into your organisation’s risk environment, but used to support people in the work that they do.

“We are extremely excited about the impact this technology will have to help Risk Managers and this is only the beginning.” said Allen Zhang, Chief Technology Officer, Pan Software.

SOCRAITES has been developed with a core purpose of supporting your organisation through the risk assessment process, ensuring that the information captured is relevant, consistent and reliable. Through the use of RiskWare and SOCRAITES, leadership can better focus on understanding how the organisation needs to respond to the ever-changing environment, while safe in the knowledge that SOCRAITES will be supporting the broader business through the identification and assessment of its risk environment.

SOCRAITES ensures that RiskWare is capable of supporting even the most complex of organisational environments as it draws on best practice. Not only is SOCRAITES powerful, but it provides end users with a seamless user experience that is both extremely intuitive and insightful, thanks to its human-centered design principles.

SOCRAITES represents a game-changing leap in how risk management software can support organisations in what they do. With SOCRAITES, you can make more informed decisions and take proactive measures to mitigate risks before they become major issues.

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The category recognizes solutions that enable computer-based systems to exhibit intelligent behavior in complex situations to solve problems, communicate with people, and perceive and interact with the physical world.

The Botkeeper Operating System (BOS) is designed to ease capacity issues by automating the bookkeeping work that slows firms down and deprives their growing advisory service practices of needed resources. BOS starts off strong in reducing the bookkeeping work firms have to do for their clients, and gets even better over time thanks to industry-leading artificial intelligence. With Basic and Advanced packages, firms have the ability to select the services their clients most need without needing to mix and match.

Our recently updated “Advanced Package” now incorporates a huge number of features for firms, allowing them to serve their clients even better than before. In addition to our Basic bookkeeping offerings, the Advanced package delivers:

• Advanced Payroll Categorization
• Autonomous AP Processing
• Applying Payments to AR Invoices
• CC Merchant & POS Reconciliation
• Inventory Reconciliation
• Enhanced Ongoing Report Support
• Monthly Standard Invoicing
• QBO W-9 Requests
• Class & Department Tracking
• Job / Project Tracking

Enrico Palmerino, CEO of Botkeeper stated, “To truly transform bookkeeping, an accounting firm needs an integrated set of tools that help drive accuracy, efficiency, security, and ultimately tie all bookkeeping efforts back to ROI.”

“Botkeeper is the ONLY automated bookkeeping solution geared toward firms focused on CAS (client advisory services). Providing automated accounts payable, bookkeeping, expense management, accounts receivable, clean-up services…all this functionality is built directly into the Botkeeper Operating System (BOS) platform, offering the firm a comprehensive solution.”

The American Business Awards are the premier accolades for excellence in U.S. business, honoring organizations of all sizes and industries. The 2023 competition received more than 3,700 nominations, and judging of The 2023 American Business Awards® was performed by the more than 230 members of 10 specialized committees. Read more about the 2023 competition and winning organizations: https://stevieawards.com/aba/2023-stevie-award-winners.

Botkeeper is a leading automated bookkeeping solution, providing accounting firms and their clients a powerful combination of skilled accountants, machine learning, and artificial intelligence. The Botkeeper Operating System (BOS) gives your CAS or bookkeeping practice an unparalleled workflow management system that uses best practices we’ve refined over several years. Accounting firms can grow their book of business, diversify their service offering, increase capacity, and improve overhead costs using the BOS full-suite bookkeeping & pre-accounting solution. With BOS you have the ultimate tool to efficiently manage your bookkeeping client base. Learn more about Botkeeper here!

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Renown global telematics brand, ATrack Technology (6465.TWO) will participate in Transport Logistic in Munich, Germany from May 9^th to 12^th. The Transport Logistic exhibition is a leading indicator for the global logistics industry. In addition to displaying a series of vehicle and asset trackers and smart AI camera for the transportation sector, ATrack will also showcase a series of in-vehicle AI computers, a solution to comprehensively improve the safety and efficiency of vehicles and driving while assisting customers in implementing intelligent cloud management and improving the overall operational efficiency of logistics.

ATrack states that vehicles currently account for approximately 15 percent of all carbon dioxide emissions in the European Union (EU). Although the EU has announced that it will completely ban the sale of gasoline-powered vehicles from 2035, the cost of electrification of trucks is very high, so the current proportion of electrified trucks in Europe remains low. However, in order to achieve net zero emissions by 2050, the EU has set a mid-term goal of reducing carbon dioxide emissions from cars by 55% and from trucks by 50% from 2021 to 2030. Therefore, the logistics industry looks to introduce technology to optimize the efficiency of vehicle use and reduce carbon emissions.

In-vehicle AI computers create 360-degrees of IoV applications

In-Vehicle Computer is a 360-degree of IoV application through the combination of in-vehicle computer, vehicle tracker and multiple-lens smart camera. Through AI and original edge computing technology, it can assist driving safety, monitor driving status and train driving behavior in real time to improve driving quality. Meanwhile, through real-time vehicle tracking, engine status diagnosis, fuel consumption and mileage monitoring, it can realize one-stop cloud fleet management, which can be applied to taxi, bus and railcar.

AM9 forms the core of IoV solutions

The AM9 is an in-vehicle embedded fanless computer, which is an important carrier for introducing telematics solutions. It can be integrated with taxi dispatch and billing systems to become a taxi fleet management solution. The AM9 has a built-in accelerometer and gyroscope, which can monitor the driver’s bad driving behaviors such as sharp turns, rapid acceleration and braking. In addition, AM9 is highly scalable and can import software applications and connect to hardware accessories such as cameras and monitors, making it a key core for the development a full range of IoV applications.

AK500 fully master vehicle status

The AK500 is a multifunctional telematics gateway that utilizes LTE Cat. 4 high-speed wireless mobile networking and is equipped with 2.4GHz, 5GHz Wi-Fi sharing, Bluetooth communication, and functionality including driver behavior monitoring and real-time positioning. It also supports multiple communication protocols and can monitor vehicle engine data including fuel consumption, engine speed, idling time, etc. The AK500 can assist customers in conducting in-depth big data analysis and early detection of potential problems for preventive maintenance. In addition, the AK500 has a large number of interfaces to connect various sensors such as tire pressure monitors, ID card readers, temperature and humidity sensors, etc., making it uniquely suitable for commercial vehicles and heavy trucks that require multiple applications.

AW500 AI computing improves driving safety

The AW500 smart AI camera with edge AI computing supports Advanced Driver Assistance Systems (ADAS). If a vehicle deviates, fails to maintain a safe distance, or performs other dangerous behaviors, a voice alarm will be issued immediately. At the same time, the Driver Monitoring System (DMS) can detect whether the driver exhibits negative behaviors such as using mobile phones, dozing off, smoking, etc., and reminds the driver through voice prompts to improve driving safety. In addition, in terms of poor driving or negative driver behavior, the AW500 will automatically record and upload incidents to the cloud which can greatly reduce the time and cost of resolving accidents.

AS700 zero lifetime maintenance, unlimited applications

The AS700 solar-powered asset tracker integrates the functions of solar charging and asset trackers. It is equipped with ATrack’s proprietary ultra-fast charging and highly-efficient power-saving technologies and can provide a lifelong power supply without any maintenance. The AS700 is suitable for important asset management that requires long-term and high-frequency transmission of information. In addition to real-time positioning, the AS700 can also be used in various scenarios with software applications and accessories including motion detection, truck/container door status detection, and continuous monitoring of in-container temperature and humidity. It is equipped with a real-time abnormality alarm to prevent damage to transported goods caused by abnormal temperature and humidity and is suitable for cold chain management and container tracking.

ATrack states that it will showcase in-vehicle AI computers, smart AI cameras, and a series of vehicle trackers at this exhibition. These demonstrate ATrack’s mature technological capabilities as the company vertically integrates the telematics market and continuously expands into the EU and its global market share.

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Openlayer, the creator of the world’s most comprehensive platform for testing AI, today announced that it has closed a $4.8 million seed round. The funds will be used to expand its workforce and enhance the platform’s functionality so it is capable of handling additional machine learning (ML) tasks. Already, startups to Fortune 500 companies are using Openlayer to test and validate their machine learning models, uncover unexpected mistakes, and diagnose why and when they’re happening.

“As ML becomes more popular and more accessible, it’s critical we put the right guardrails in place for models entering the real world. Testing should be a vital part of building ML models from the start, as opposed to as an afterthought,” said Rishab Ramanathan, co-founder of Openlayer. “Such test-driven development is the only way to meaningfully align models with human interests. Doing this in a repeatable way requires a platform that makes battle-tested models a reality.”

Openlayer’s founding team is composed of former Apple ML engineers who have firsthand experience building AI at scale. Other members of the company include an ex-Amazon engineer and a Harvard Design Engineering school graduate.

“Over the course of our time working across 15 different teams at Apple, we faced firsthand the same problem over and over: there is no standardized way to test and collaborate on machine learning models,” said Vikas Nair, co-founder of Openlayer. “Because of this, errors are often not caught until after shipping, which can result in potentially disastrous outcomes.”

While numerous software testing platforms exist, those platforms are designed for deterministic systems in which a given input will produce an expected output. Since ML models are probabilistic, there has been no way to test them reliably until now.

Openlayer helps teams systematically improve their models and datasets by:

• Verifying the integrity of training and validation datasets
• Surfacing meaningful discrepancies between training, evaluation and production data
• Ensuring models meet their target performance benchmarks
• Validating models are robust to edge-cases by generating synthetic data to inject noise and conduct adversarial attacks
• Guaranteeing fairness of model behavior across data subpopulations
• Tracking versions of models and datasets and comparing their performance
• Explaining model behavior by surfacing which features of the data were used to make a prediction

Investors and planned expansion

The seed round will enable the Openlayer team to create more sophisticated guardrails for customers to test their models against as they iterate. The platform will also allow for edge-case detection using synthetic data to generate test cases they might not have considered. Importantly, customers will benefit from faster, more organized development velocity.

“Over the long term, we envision a future in which many of the processes for detecting and fixing errors can be automated with Openlayer,” said Gabriel Bayomi Tinoco Kalejaiye, co-founder of Openlayer. “Our vision is to be the go-to hub for any ML team shipping models. To achieve this requires building a development pipeline that delivers powerful insights about your models and data every step of the way, pre- and post-deployment.”

Quiet Capital is the lead investor with participation from:

• YCombinator
• Picus Capital
• Hack VC
• Liquid2 Ventures
• Mantis VC
• Jonathan Swanson, founder of Thumbtack and an investment consultant for Greystone Consulting
• Mike Krieger, co-founder, Instagram
• Max Mullen, co-founder, Instacart
• Guillermo Rauch, CEO and founder of Vercel
• Gokul Rajaram, member of the board of directors, Coinbase, Pinterest, and The Trade Desk
• Immad Akhund, co-founder CEO, Mercury
• Oliver Cameron, VP, Product, Cruise
• Yuri Sagalov, managing partner, Wayfinder Ventures
• Rodrigo Schmidt, head of engineering, NPE at Meta
• John Kim, CEO, SendBird

“AI adoption is on the rise, and we are seeing the importance of data-centric ML as algorithms become commoditized,” said Astasia Myers, enterprise partner at Quiet Capital. “The Openlayer founders worked on ML at Apple and saw firsthand the benefit of having data-centric ML solutions that supported test-driven development and data quality analysis. The founders took their unique insight and applied it to building Openlayer that solves this need for all businesses. They are tackling a critical problem around ML data intelligence which we expect will continue to boom with AI’s increased ubiquity.”

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“Our partnership with OneTrack.AI has allowed us to take a more proactive approach to safety management,” said Chris Wright, CEO of Rinchem. “At Rinchem, safety is at the forefront of everything we do. We remain committed to investing in technologies that allow us to operate safely and efficiently while delivering the highest level of service to our customers.”

The OneTrack.AI technology is installed on forklifts in Rinchem’s warehouses and uses machine learning and proprietary AI sensors to detect, record, and prevent risky behaviors and accidents. The system factors in safety, productivity, and the skill levels of the technicians operating the forklifts to provide actionable coaching opportunities. The video and telemetry data captured by the forklift-mounted AI sensors are automatically shared with operations leadership who use the information to coach compliance with safety rules and procedures to prevent undesirable practices and incidents.

OneTrack.AI analytics tools provide visibility for leadership to identify trends, root causes, and process improvement opportunities. In the first 6 months since implementation, the OneTrack.AI Solution has had a measurable impact on warehouse operations at Rinchem: overall safety events reduced by 93% including a 95% reduction in unauthorized phone use, 73% reduction in impacts, and 71% reduction in potentially unsafe behaviors such as fast turns. A key component of the OneTrack.AI Solution is the ability to coach on leading indicators to prevent unsafe behaviors before they turn into incidents.

“At OneTrack.AI, we are proud to partner with Rinchem in their efforts to drive ongoing safety improvements,” said Nick Palczynski, Director of Strategic Partnerships at OneTrack.AI. “We understand the importance of safety in the chemical logistics industry, and our technology is designed to help specialized Third-party Logistics Providers like Rinchem improve safety metrics and enhance their safety management. We look forward to continuing our partnership with Rinchem and supporting their commitment to safety.”

Continuous improvement and employee safety are key pillars of Rinchem’s culture and the OneTrack.AI system is an important mechanism to achieve these goals. Rinchem’s commitment to performance optimization systems and practices, customized warehousing operations, and expertise in highly regulated industries and environments, make it an industry leader.

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