The Importance of Hiring an AI Solution
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The Importance of Hiring an AI Solution

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José Escobedo By José Escobedo | Senior Editorial Manager - Wed, 04/30/2025 - 10:00

In today's rapidly changing technological world, where automation and data-driven decision-making play a fundamental role, contracting an AI partner is not just an option, it is a necessity. 

To collaborate with a strategic partner that boosts reliability, minimizes downtime, and drives continuous improvement, Atlanta-based Tractian, a leader in manufacturing AI, recommends considering three key pillars before beginning the selection process: Technology & Innovation, Data Security & Reliability, and Scalability & Integration.

Technology and Innovation In Industrial AI 

A dedicated R&D team is essential for the company to develop proprietary AI solutions supported by patented technology. It is crucial to ensure that its capabilities extend beyond predictive analytics. R&D plays a key role in driving innovation, which, in turn, fuels business growth through new products, services, improved processes, and enhanced customer interactions. These advancements can lead to increased profitability and reduced costs.


Importance of Team Development and Training

R&D team development and training focus on equipping teams with the necessary skills and knowledge to excel in research and development activities. This involves both technical skills, such as proficiency in specific software or methodologies, and soft skills like communication and collaboration. Training is crucial for bridging skill gaps, ensuring a shared understanding, and fostering innovation within the R&D process. 

Significance of Team Development and Training

Developing and training R&D teams is essential to ensure they possess the skills and expertise needed to succeed in research and development tasks. This includes both technical abilities—like mastering specific tools or techniques—and soft skills, such as effective communication and teamwork. Training plays a key role in closing skill gaps, aligning team members with common goals, and promoting innovation throughout the R&D process.

This is why recently, Tractian made a significant investment in its R&D initiatives. With a US$120 million Series C funding round, the company now allocates 50% of its workforce to R&D, focusing on the development of patented AI technologies designed for industrial maintenance and reliability. 

Other reasons why companies invest in a dedicated R&D team are the following: 

Custom AI solutions offer a distinct competitive advantage by streamlining operations, refining decision-making, and elevating customer experiences beyond what standard AI tools can achieve. Furthermore, tailored AI models are designed to meet the unique demands of a company’s industry, ensuring greater efficiency and relevance compared to generic alternatives. In addition, maintaining an in-house R&D team fosters continuous innovation and long-term adaptability. This enables the company to stay ahead of industry trends by creating AI-driven products and services that set them apart, positioning them as pioneers rather than followers.

Data Privacy & Security is another reason why it is important for a company to invest in an R&D team. Utilizing third-party AI solutions often requires sharing sensitive data, increasing the risk of security breaches and compliance challenges. In contrast, proprietary AI keeps data in-house, minimizing vulnerabilities and supporting adherence to industry regulations such as GDPR, HIPAA, and CCPA. In regards to Customization & Scalability standard AI solutions may not always meet unique business needs, potentially causing inefficiencies. A dedicated R&D team can refine models for improved performance and adapt AI capabilities to align with the company's evolving requirements. Moreover, developing proprietary AI allows companies to monetize (Cost Efficiency in the Long Run) their innovations by licensing or integrating them into new revenue streams. AI technology evolves rapidly; a dedicated R&D team enables a company to quickly adapt to emerging trends and incorporate cutting-edge advancements, resulting in Faster Response to Market Changes. 

Regarding Intellectual Property (IP) Ownership, proprietary AI innovations serve as valuable assets for the company, enhancing patents, trade secrets, and overall market valuation. Retaining ownership of AI intellectual property reduces reliance on competitors and third-party vendors for essential AI capabilities.

Lastly, a dedicated AI R&D team can provide in-house AI models that can achieve a Better Integration with Internal Systems that co-exist effortlessly with existing workflows, databases, and infrastructure, ensuring seamless compatibility. This eliminates challenges posed by third-party AI tools that may not align with a company’s architecture or demand expensive modifications. Moreover, having a dedicated AI R&D team enables businesses to foster innovation, enhance efficiency, strengthen security, and achieve a competitive edge — all while retaining full control over their technological evolution. Investing in in-house AI is a strategic move that future-proofs the business and unlocks new opportunities in an AI-powered landscape.

 

Data Security & Reliability

At Tractian, data security and reliability are foundational pillars for any organization seeking to integrate AI into industrial operations. These principles ensure that critical information remains protected, accurate, and available—enabling companies to operate with confidence and agility in a digital-first environment.

Data security is about more than just protection—it’s about empowering decision-makers with peace of mind. With the right measures in place—such as encryption, access controls, and multi-factor authentication—organizations can confidently manage their digital infrastructure, knowing their information is safeguarded. These tools help create a resilient ecosystem where data flows securely across teams, systems, and locations.

On the other hand, data reliability ensures that the insights drawn from digital systems are trustworthy. Clean, consistent, and validated data allows manufacturers to move beyond guesswork and into strategic, real-time decision-making. From predictive maintenance to performance optimization, the value of AI depends entirely on the quality and consistency of the information it analyzes.

Together, security and reliability enable continuity—keeping operations running smoothly and efficiently, even in complex or fast-changing conditions. They also reinforce relationships with clients, partners, and stakeholders, who increasingly prioritize transparency and accountability in their collaborations.

Ultimately, investing in secure and reliable data practices is not just a technical requirement—it’s a business advantage. It strengthens operational resilience, supports compliance, and builds the trust that’s essential for long-term success in any industry embracing Industry 4.0.

 

ISO 27001 Data Security Certification

To ensure compliance with Data Security and Compliance requirements, AI solutions must adhere to ISO 27001 security standards and incorporate encryption protocols to safeguard operational data from cyber threats. Tractian proudly has received the ISO 27001 Data Security certification.

“This means that our company and our technology are in full compliance with international standards, and all operations within our systems align with the information security standards established by the International Organization for Standardization (ISO),” said the company. 

With this remarkable accomplishment, Tractian not only ensures, but also formally certifies, the highest level of data security and reliability for its partner-clients.

“The ISO 27001 certification dispels any uncertainty surrounding the security and integrity of our clients’ data. Our mission is to underpin the crucial operations and initiatives of various industries, leaving no room for error. This marks a significant milestone, as our clients are no longer faced with a trade-off between security and operational reliability – we now provide both,” said Igor Marinelli, Tractian´s co-CEO.

The International Organization for Standardization (ISO) is an independent and nongovernmental institute with an international association composed of 167 national standardization bodies. It is a globally recognized standard for managing information security within an organization.The ISO/IEC 27000 standard family assists organizations in keeping their information assets secure, reports Tractian on their website.

With this accolade, Tractian delivers the following to its clients:

  • Enhanced Credibility: Demonstrates commitment to security, further building trust with users.

  • Improved Security: Helps identify and reduce security risks.

  • Regulatory Compliance: Aligns with data protection regulations.

  • Structured Security: Promotes a risk-based and adaptive security approach.

  • Continuous Improvement: Requires regular updates and improvements in security practices.

  • Penetration Testing: Various tests to simulate cyber intrusions to validate and identify system security vulnerabilities.

By complying with ISO/IEC 27001, Tractian has implemented a program to manage data security risks associated with its operations, ensuring that its systems follow the best practices and principles set forth in this international standard.

 

Scalability & Integration

Scalability refers to a company's ability to handle increasing workloads, users, or demands efficiently without compromising performance. It means that as the business expands, its systems, processes, and infrastructure can grow seamlessly without significant interruptions. Scalability is important for the following reasons: 

  1. Business Growth: Supports expansion into new markets and increased customer demand.

  2. Cost Efficiency: Prevents the need for complete system overhauls as the business grows. 

  3. Performance Stability: Ensures smooth operations even during peak times. 

  4. Competitive Advantage: Companies that scale effectively can adapt faster to changing market conditions.

 

Integration

Integration involves the ability of various software, systems, and business processes to communicate and function cohesively. It facilitates the smooth flow of data between different departments, tools, and platforms. The importance of integration can be highlighted in several key areas:

Improved Efficiency: Automates processes and reduces the need for manual tasks.

Improved Decision-Making: Provides accurate, real-time data across departments for informed decisions.

Enhanced Customer Experience: Enables seamless coordination between sales, customer service, and other teams.

Minimized Errors: Helps prevent data duplication and inconsistencies.

These factors are essential for a company because a scalable and well-integrated organization can grow efficiently, adapt to market changes, and maintain operational excellence. Additionally, it allows seamless integration with existing systems, sensors, and software. Without these elements, businesses may face inefficiencies, higher costs, and limited flexibility, ultimately resulting in missed opportunities.

 

Artificial Intelligence in Maintenance 

Industrial production processes are typically challenging and intricate tasks. They often involve long hours of work and pose safety risks, particularly when machinery is in poor condition. Additionally, these processes are complex due to the need for specialized technical knowledge and precise training.

Artificial intelligence plays a key role in enhancing maintenance by streamlining, optimizing, and strengthening industrial plant processes. Tractian has created a solution that combines both hardware and software, designed to monitor industrial assets using an AI-driven system and the Internet of Things (IoT).

For these strategies to be successful, it is crucial to have a skilled and qualified procurement team. Investing in professional development and training not only enhances individual abilities but also boosts the team's overall effectiveness. Proper training helps expand the team's expertise in evaluating supplier performance and managing preventive and corrective maintenance contracts, leading to more efficient operations.

 

Investing for the Future - Tractian Investments

Tractian, a global leader in AI-driven industrial maintenance solutions, has solidified its market position through strategic investments, international growth, and recognition from industry experts. Serving over 1,000 multinational industrial plants, the company is focused on advancing technology to enhance equipment performance and optimize energy management.

In 2024, Tractian was featured on Forbes' prestigious AI 50 list, which highlights the most promising privately-held AI companies. This acknowledgment underscores the company’s significant contributions to the manufacturing sector, especially in predictive maintenance and improving operational efficiency.

The company recently closed a US$120 million Series C funding round, with a considerable portion dedicated to research and development. Plans are underway to build an R&D center in Monterrey, Mexico, alongside a local support center to better serve customers.

With continued investment in technology and global expansion, Tractian is positioning itself as an AI leader in industrial operations, driving efficiency and reliability. Since its inception in 2019, the company has grown its international footprint, partnering with over 500 clients, including industry giants such as John Deere, Procter & Gamble, and Caterpillar. This diverse customer base highlights the growing demand for AI-powered maintenance solutions across various sectors.

The company’s AI-driven offerings include intelligent sensors for real-time equipment condition monitoring, energy meters integrated with an Energy Management System (EMS), and a Computerized Maintenance Management System (CMMS)/Enterprise Asset Management (EAM). These tools help manufacturers predict potential failures, optimize energy consumption, and streamline maintenance workflows.

Photo by:   Image by Gerd Altmann from Pixabay

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