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Proven Across Domains

Processus builds adaptive systems that apply to any domain, turning complex data into clear, actionable intelligence.

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PROVEN ACROSS DOMAINS

One Framework.
Infinite Domains.

Our technology is designed to work anywhere knowledge lives. From public safety to private enterprise, Processus systems adapt to each organization’s structure, data, and mission, turning complex information into clear, actionable intelligence.

USE CASE: MANUFACTURING SYSTEMS

Smarter Production Through Connected Systems

Modern manufacturers manage thousands of moving parts, machines, suppliers, people, and data streams that must work in sync. Processus technology can unify these systems through connected intelligence, turning fragmented information into real-time insight that drives efficiency, resilience, and innovation.

  • Production data is siloed: equipment logs, supplier spreadsheets, and ERP systems rarely align.

  • Managers can’t easily see how downtime or supply delays impact the wider operation.

  • Without shared visibility, decisions remain reactive, and opportunities for optimization are often missed.

  • Through our CORE framework, we link machines, workflows, inventory, and suppliers into a unified manufacturing graph.

  • This “Manufacturing Graph” gives leaders a live view of dependencies, performance, and process relationships.

  • AI reasoning and RAG tools let teams query data, test scenarios, and resolve issues before they disrupt production.

  • Predictive Operations: Identify potential bottlenecks or failures before they impact production.

  • Integrated Visibility: See real-time connections between equipment, teams, and supply networks.

  • Data-Driven Decisions: Empower engineers and managers with explainable, context-rich insights.

  • Continuous Improvement: Capture operational learning across shifts and plants to enhance performance over time.

The Challenge
The Outcome
The Solution

PROJECT: GOVERNMENT & RESILIENCE

NASA Wildfire Decision & Data Mapping Project

As wildfires become more dynamic and unpredictable, decision-makers must interpret scattered data in real time to protect lives and infrastructure. The Western Fire Chiefs Association, with support from NASA’s Earth Science Division, launched this initiative to bring science, technology, and operations together in the moments that matter most.
 

Processus joined as a technical partner, introducing data modeling and cognitive systems engineering methods originally developed for defense and mission-critical environments. Working alongside WFCA, Obsidian Solutions Group, and NASA researchers, the team designed a decision framework that maps how data, tools, and human judgment interact under pressure.
 

The result was more than a model, it was a shared language for how agencies understand and prioritize wildfire response. Today, that framework helps leaders evaluate investments in sensors, analytics, and doctrine, ensuring that data translates into timely, confident action.

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PROJECT: EDUCATION & GROWTH ANALYTICS

CodeRED Student Success Platform

Education runs on data (test scores, goals, feedback, and observations, etc.), but most of it stays disconnected. Teachers and administrators struggle to see the whole picture of a student’s learning journey or understand how motivation, personality, and environment combine to shape performance.
 

CodeRED was built to change that. Processus designed a knowledge-graph foundation that connects academic metrics with personal growth data, combining assessments, behavioral insights, and learning outcomes into one dynamic system.

This structure allows educators to visualize how students learn best, identify areas for support, and measure growth over time. By pairing the graph with AI reasoning tools, CodeRED helps teachers spend less time managing information and more time mentoring students. The result is a clear view of learning progress across classrooms, faster feedback loops, and a more personalized path to success for every student.

PROJECT: FINANCIAL INTELLIGENCE

Stock Engine Predictive Analytics Platform

Financial data moves fast, and most systems can’t keep up. Analysts juggle economic indicators, price movements, sentiment data, and company fundamentals, yet the insights often arrive too late to act.
 

Stock Engine was designed to close that gap. Processus created a graph-based architecture that links macroeconomic data, market behavior, and corporate performance into one adaptive model. The system learns how these variables influence each other across time, revealing hidden relationships between growth cycles, sector momentum, and investor psychology.
 

Layered with AI reasoning and forecasting algorithms, Stock Engine helps portfolio managers and researchers test hypotheses, explore “what-if” scenarios, and detect early signals of market rotation. The result is faster, more explainable insight that transforms overwhelming data into confident decisions.

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PROVEN ACROSS INDUSTRIES

One Framework,
Infinite Applications.

Each Processus project may serve a different mission, but the core idea remains constant: connect people, data, and decisions through knowledge graphs and adaptive intelligence. Whether modeling student growth, analyzing markets, or improving disaster response, the same framework brings clarity where it’s needed most.

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