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Thing-Zero

OT Predictive Analytics

Delivering AI-powered predictive analytics for Operational Technology (OT), we enable critical data to become the cornerstone for decision-making. With our solution, designated personnel gain access to reliable, AI-driven insights, fortified by an approach with near-zero risk of data or AI process corruption.

Unlocking Insights for Informed Decision-Making

At Thing-Zero, we specialize in OT Predictive Analytics, a cutting-edge approach that empowers organizations to leverage real-time operational data for strategic decision-making. While on-site experts possess an unparalleled understanding of their machinery and environments, the sheer volume and complexity of data exceed human capacity for simultaneous analysis over extended periods. Our OT Predictive Analytics optimizes the collaboration between human expertise with dedicated AI, powering a synergy that propels organizations toward peak operational efficiency.

Thing-Zero Offering

Thing-Zero OT Predictive Analytics keeps you in the pilot seat, offering a comprehensive, agile, milestone-based progression to harness the full potential of your operational technology data. Through the Secure Thing-Zero Control Room interface, accessible on both computers and mobile devices, decision-makers receive AI-driven situation reports and dynamic recommendations that adapt based on past decisions and measured outcomes. As confidence in the accuracy and reliability of these insights grows, the system introduces levels of automation, gradually enhancing decision-making efficiency without sacrificing oversight.

720 Assessment

Command Your Operations

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Signal to Meaning (S2M)

Precision Insights for Strategic Decisions

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Meaning to Action (M2A)

Automate with Confidence

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OUR ATTACK SURFACE COVERAGE

The Number of Vulnerabilities We Detect

Total Vulnerability Tests
0
Total Unique CVEs
0
CISA KEV CVEs
0
SCADA CVEs
0
AWS Cloud Plugins
0
Azure Cloud Plugins
0
Google Cloud Plugins
0
Oracle Cloud Plugins
0

Thing-Zero Methodology

01

Defining the Desired Outcome & Stakeholders

  • Our approach starts with equipping management and field teams with intuitive tools to clearly define optimization goals, assess risks, and associate quantitative avoidance priorities. These tools are designed for ease of use without requiring additional training.
  • Simultaneously, we model the system targeted for optimization.
  • We take proactive measures to address potential risks and unintended consequences, ensuring responsible optimization. Many AI optimization failures stem from overlooking possible collateral impacts.

02

Signal-to-Meaning Processing

  • We implement a secure and robust data processing pipeline at the OT level, featuring zero-trust security and stringent interaction protocols. This pipeline processes real-time and contextual data, standardizes formats as necessary, and converts them into a stream of information-rich, compressed, and obfuscated features optimized for machine learning. These features are designed to maximize the relevance of the data extracted in relation to the optimization objectives. Importantly, the original data cannot be reconstructed from these features, which are meaningless without the featurization key.
  • An intelligent, sensitive triage algorithm determines which data should be stored locally versus what should be sent to the cloud for further analysis. This system typically reduces bandwidth and cloud service requirements by over 95%.
  • Significant features are batch-transferred across the OT/IT interface to a secure cloud environment, where AI-driven models analyze the data, guided by expert recommendations and risk avoidance strategies. This process identifies trends and flags potential risks or failures.
  • Based on the severity and probability of identified issues, our sharing rules notify relevant stakeholders while excluding others, maintaining a strict protocol for who can receive alerts. Collaborators have the flexibility to opt in or out of notifications, adhering to clearly defined access rules.

Why Thing-Zero for OT Predictive Analytics?

Empowering Industries for Tomorrow

At Thing-Zero, we understand that the true value of OT Predictive Analytics lies not merely in the data but in the business outcomes it enables. By melding expert knowledge with precise AI capabilities, we shape a smarter, more efficient future across diverse sectors within a secure, robust, and comprehensive digital framework.

Strategic Advantage:

  • Prevent equipment failures by catching early signals of impending failure.
  • Improve quality by automating complex quality control to test all the production or to identify units to screen with a higher risk of defects.
  • Identify bottlenecks in the throughput capabilities.


Improved Decision-Making:

  • Optimize maintenance operations.
  • Quickly find robust solutions to operational incidents inducing downtime.
  • Optimize investment and resources to save money and increase margins.

 

Seasonal Production:

  • Save money when adjusting throughput rate, within a facility or across facilities, by automating resource allocation and operations.

Strategic Advantage:

  • Maximize uptime and production by avoiding equipment failure.
  • Identify leaks, predict overloads.
  • Detect tampering attempts.

Improved Decision-Making:

  • Optimize maintenance, and save on parts and labor by setting up a data-driven uptime maximization process.
  • Set automated strategies to react to overload predictions or unexpected disruptions in the distribution network, that can be triggered in near real-time following your instructions by any production facility or substation.
  • Adjust energy price to your advantage, with perfect knowledge of the energy cost.

Seasonal Load Forecasting:

  • Prepare for peak usage during extreme weather conditions by performing load simulations on digital models and adapting part replacement and maintenance schedules accordingly.

Strategic Advantage:

  • Predict equipment failures.
    Optimize drilling operations, molecular sieve cost savings, butane blending optimization, and more.
  • Enhance safety protocols.

Improved Decision-Making:

  • Optimize maintenance to address actual failure risks in priority.
  • Optimize efficiency with a near-real-time overview of extraction and distribution operations.
  • Negotiate better insurance coverage for rigs and pipelines.

Seasonal Demand:

  • Balance drilling operations, storage and distribution with a unique dashboard consolidating real-time capabilities, and flows, and proposing optimization strategies.

Strategic Advantage:

  • Identify risks in the intake and distribution of critical resources, such as energy and gas.
  • Evaluate at a glance the health critical assets such as imagery systems and operational readiness of Operating Rooms.
  • Analyze near real-time floor data from Emergency Rooms.

Improved Decision-Making:

  • Schedule data-driven maintenance and parts replacements.
  • Establish automated strategies to react in real-time to disruptions, redistributing loads and adapting patient care if needed.
  • Optimize operations, OR readiness, and ER throughput by mitigating risks and acting upon bottlenecks.

Seasonal Trends:

  • Optimize schedules and resources to follow the volume of patients, avoiding being behind the curve.

Strategic Advantage:

  • Stay ahead of the curve by accessing near real-time aggregation of customers’ behaviour across shopping facilities along with explanatory parameters and trend predictions.

Improved Decision-Making:

  • Optimize inventory levels, enhance supply chain efficiency, and personalize customer experiences while safeguarding customer privacy.

Seasonal Sales Forecasting:

  • Plan promotions and stock levels based on accurate predictions, and adjust in real time.
CONTACT US

Get In Touch With Us Today

For Consultation

info@thing-zero.com

Our Office

829 Jackson St, Mountain View, CA, 94043

For Call

425-698-0005

Work Hours

Open Monday - Friday
8:30 AM – 5:00 PM PST

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Created by RGE Solutions

720 Assessment

Command Your Operations

Crafting an effective optimization strategy can be daunting due to the complexity and volume of parameters involved. With our Thing-Zero Comprehensive Assessment, you and your team—the true experts—remain at the core of the process. This assessment streamlines the strategy design by integrating various elements into a user-friendly simulation and architecture-design dashboard. It provides a platform to explore optimization paths, establish clear objectives, and evaluate potential costs and risks. The final outputs are an interactive simulation dashboard and a detailed blueprint for implementing the OT Predictive Analytics system.

Signal to Meaning (S2M)

Precision Insights for Strategic Decisions

In the S2M phase, we equip your operations with robust hardware and software to capture all relevant OT signals. These inputs are processed through our Thing-Zero Industrial AI, transforming complex, real-time data into clear, actionable insights. Our AI adheres to the highest standards of industrial intelligence — explainability, reliability, determinism, adaptability, independence, and human-first control — secured by the most rigorous cybersecurity measures, where trust is never given but always mathematically earned. Outputs of this phase include a comprehensive system for data acquisition, processing, and insight dissemination, accessible by authorized personnel from any device or secure server.

Meaning to Action (M2A)

Automate with Confidence

Following the establishment of trust in our S2M phase, M2A integrates crucial control capabilities, enabling remote execution of direct OT commands and the configuration of rule-based actions, whether set by your team or suggested by Thing-Zero AI. This phase completes the automation cycle, ensuring transparency and maintaining a human-centred approach to control and decision-making.