MIDDLETOWN, Del., and HOLMDEL, N.J. — As the global manufacturing sector continues to grapple with the rapid evolution of digital transformation, independent research firm Tech-Clarity, Inc. has officially announced its upcoming 2027 research initiative: "Making Manufacturing AI Matter." Kicking off this comprehensive industry undertaking, Eyelit Technologies has signed on as the first official corporate sponsor.
The announcement, made jointly from Middletown, Delaware, and Holmdel, New Jersey, signals a major collaborative effort to measure, evaluate, and forecast how industrial organizations are deploying artificial intelligence (AI) to revolutionize operational performance.
Main Facts: Unlocking the True Value of Industrial AI
The 2027 iteration of the "Making Manufacturing AI Matter" program is designed to build directly upon the baseline metrics established in Tech-Clarity’s previous 2025 survey. The core objective of the research is to track the tangible progress manufacturers have made in integrating AI into their operations, supply chains, and plant floors.
Specifically, the study will investigate the practical implementation and return on investment (ROI) associated with a wide spectrum of modern AI technologies, including:
Generative AI and Large Language Models (LLMs): Assessing how natural language capabilities are simplifying human-machine interactions, automating documentation, and streamlining shop-floor communications.
Agentic AI: Examining autonomous software agents capable of executing complex, multi-step workflows with minimal human intervention.
Natural Language (NL) Interfaces: Evaluating how conversational computing is democratizing data access for plant operators and executives alike.
Machine Learning (ML): Measuring traditional and advanced predictive algorithms utilized for asset health, quality control, and demand forecasting.
The program is structured as an elite, limited-sponsorship initiative capped at a maximum of six corporate partners. This ensures high-value collaboration and focused insights. Alongside Eyelit, five additional spots remain open for forward-thinking technology and industrial solution providers looking to help shape the narrative of modern manufacturing.
Chronology: A Two-Decade Legacy of Industrial Research
The 2027 program represents a continuation of a remarkable 20-year research legacy initiated in 2006 by Julie Fraser, Vice President of Research at Tech-Clarity. Fraser will spearhead the 2027 project, joined by co-author and seasoned industry analyst Rick Franzosa.
The timeline for the 2027 "Making Manufacturing AI Matter" program unfolds across several key phases:
Late 2026 (December): Initial rollout of program communications, sponsor onboarding, and survey drafting.
Early 2027 (January – February): Formal launch of the online survey targeting global manufacturers, producers, and supply chain operators. Tech-Clarity will supplement digital polling with in-depth telephone interviews to gather qualitative context regarding corporate goals, deployment hurdles, and success stories.
Spring 2027 (March – June): Data synthesis, report generation, and final analysis. Tech-Clarity will officially release its comprehensive findings package—including an in-depth research report, a custom visual infographic, and an exclusive educational webinar.
Post-Release: Program sponsors and survey participants will receive privileged, early-access rights to the findings, allowing them to leverage proprietary market data for internal strategy and client communications.
Supporting Data and Evolving Scope: Beyond Predictive Maintenance
While early manufacturing AI adoption focused primarily on predictive maintenance and basic anomaly detection, the 2027 survey expands its scope to address the realities of next-generation industrial technology.
Fraser and Franzosa have updated the survey questionnaire to address several critical, emerging questions:
The Rise of Agentic AI: How are autonomous agents altering factory scheduling, material handling, and exception management?
Analytics Optimization: Which specific types of analytics (edge vs. cloud, descriptive vs. prescriptive) yield the highest returns in distinct manufacturing environments, such as discrete electronics versus continuous process industries?
Barriers to Scale: What organizational, cultural, and technical factors prevent pilot-phase AI projects from achieving full-scale production value?
By pooling qualitative interviews with quantitative survey responses, Tech-Clarity aims to provide the industrial community with an empirical roadmap for navigating hype versus reality in the manufacturing technology landscape.
Official Responses: Industry Leaders Weigh In
Leadership from both Tech-Clarity and Eyelit Technologies have emphasized the urgency of market education as AI transitions from an experimental novelty to a mission-critical enterprise layer.
Salil Jain, Founder and CTO of Eyelit Technologies
As the first confirmed sponsor, Eyelit is taking an active role in steering the direction of the research. Salil Jain, Founder and Chief Technology Officer of Eyelit, explained the strategic motivation behind the partnership:
"Eyelit has invested heavily in AI, and we want to ensure the market understands the opportunities and how to gain business value. We see the enormous benefits in efficiency, certainty, and decision-making that AI can deliver. We look forward to helping to shape the survey, inviting our customers to participate, and learning more about the state of the market."
Jain’s perspective underscores Eyelit’s corporate philosophy: that technological innovation must be directly tied to measurable improvements in factory productivity, asset utilization, and decision execution.
Julie Fraser, Program Lead Researcher at Tech-Clarity
Reflecting on the launch and the importance of early industry support, Julie Fraser highlighted the collaborative nature of the initiative:
"With this research, we expect sponsors and survey respondents to accelerate their learning as the community shares experiences. We are grateful for Eyelit’s early support to ensure this industry-wide research can continue. You can’t learn or explain too much in this time of rapid progress in AI."
Fraser encouraged interested technology vendors and industrial partners looking to join the remaining five sponsorship slots to reach out directly via email at [email protected].
Implications: What This Means for the Manufacturing Sector
The findings of the 2027 "Making Manufacturing AI Matter" program carry profound implications for enterprise software buyers, factory operators, and digital transformation leaders.
1. Accelerating Organizational Learning
For manufacturers hesitant to invest in artificial intelligence due to integration fears or uncertain ROI, the upcoming report will offer peer-validated benchmarks. By highlighting real-world use cases where AI successfully optimizes planning, scheduling, and execution, the research will serve as a practical playbook for digital transformation.
2. Bridging the Gap Between IT and OT
As large language models and natural language interfaces mature, the traditional friction between Information Technology (IT) and Operational Technology (OT) is beginning to dissolve. Shop-floor operators no longer need deep data-science backgrounds to query production databases or adjust schedules. This research will chart how user-friendly AI layers are empowering front-line workers and improving decision support across multi-factory enterprises.
3. Elevating Operational Resilience
Supply chain disruptions, labor shortages, and shifting consumer demands continue to plague global manufacturing. Research programs like Tech-Clarity’s provide vital visibility into how automated planning, AI-driven scheduling, and real-time asset tracking can insulate organizations from volatility.
About the Organizations
About Tech-Clarity, Inc.
Tech-Clarity is an independent research firm dedicated to making the business value of technology clear. The firm analyzes how companies improve innovation, product development, design, engineering, manufacturing, and service performance through digital transformation, best practices, software technology, industrial automation, and IT services. Its mission is to help manufacturers learn how to improve business results through the deployment of Product Lifecycle Management (PLM), portfolio management, CAD, simulation, Manufacturing Execution Systems (MES/MOM), Industrial IoT, quality management, service, supply chain, and advanced analytics solutions.
About Eyelit Technologies
Eyelit Technologies is a premier provider of integrated software solutions designed to optimize factory and multi-factory productivity across complex industries, including semiconductors, electronics, automotive, industrial manufacturing, medical devices, and aerospace & defense.
Eyelit’s AI-powered suite of planning, scheduling, and execution solutions enables businesses to dramatically improve production processes, enhance asset utilization, and streamline scheduling. By addressing critical operational elements—such as orders, quality, assets, materials, labor, and suppliers—Eyelit empowers organizations to drive profitable growth, reduce operating costs, improve delivery performance, and achieve deep operational visibility.
To learn more about Eyelit Technologies and its industry-specific AI solutions, visit www.eyelit.com.
