From Complexity to Clarity
Organizations spend too much time fixing what’s broken and too little time creating what’s possible. Processus Group builds the connective intelligence between your data, people, and processes. The result is an organization that produces more, learns faster, and decides with clarity.
More Time Producing
Intelligent automation that prevents rework, duplicates, and delays - so your experts can focus on innovation, not administration.
Accelerated Onboarding
Empower new hires to perform like seasoned professionals by capturing institutional knowledge in a graph-driven system they can query naturally.
Confident Decisions
Connect data, context, and expertise in one reasoning layer that gives decision-makers the full picture before they act.
BUILT WITH YOU
Every Project Follows a Proven Framework
Our CORE framework is built around your organization, capturing how your teams work, how your systems connect, and how decisions are made. Each phase adapts to your data and goals, creating intelligence that’s uniquely yours. It’s a proven process for turning knowledge into connected systems that learn and evolve with you.
Capture
Organize
Reason
Evolve
Knowledge Graph Integration
Build a unified foundation for your organization’s knowledge using graph-based modeling. We capture semantic meaning in RDF/OWL (Protégé) and implement in Property graph (Neo4j, Memgraph, Amazon Neptune and other tools) or Triplets (Stardog, GraphDB, ANZO, BlazeGraph, etc) to connect data across silos and power intelligent integration.
AI-Enhanced Decision System
Combine graph reasoning with LLM flexibility to give your teams explainable, context-aware insights that scale with experience. These systems adapt as your organization grows, learning from every decision to strengthen clarity and confidence over time.
Cloud-Agnostic Deployment
Integrate seamlessly with AWS, Oracle, Azure, or on-prem systems. Our architectures adapt to your environment, not the other way around—ensuring flexibility, resilience, and long-term scalability no matter where your data lives.
OUR SOLUTIONS
Intelligence That Connects People, Data, and Decisions
We combine knowledge graphs and large language models to help organizations move from data overload to operational clarity. Our process brings context, traceability, and speed to every decision.
INTELLIGENT CONTEXT
How Knowledge Graphs
Change the Game
Knowledge graphs create structure from complexity. They link data, processes, and expertise into a shared model of how your organization works. This connected understanding becomes the foundation for intelligent systems that support faster, clearer, and more confident decisions.
Decision-Making Framework
Knowledge graphs organize information around how decisions are made, showing how data supports objectives and outcomes.
Digital Twin for the Enterprise
Knowledge graphs mirror real-world systems, making it easier to see dependencies, understand impact, and act strategically.
360-Degree
Organizational View
By linking information across silos, knowledge graphs give leaders a comprehensive view of people, processes, and performance.
Integration Without Disruption
Our solutions are architected on a flexible, vendor-agnostic foundation, compatible with multiple graph databases, cloud platforms, and AI models.
Whether you operate on AWS, Oracle Cloud, Azure, or on-prem systems, our approach adapts to your environment instead of forcing you into ours. We integrate ontologies, knowledge graphs, and AI orchestration into the tools you already rely on, so you can scale without disruption.
PROVEN ACROSS DOMAINS
From Defense to Education to Finance
Proven in the Real World
Processus technology is adaptable by design. Our graph-based intelligence has powered applications from military threat analysis to wildfire decision support to financial analytics to education systems, each tailored to the data, people, and missions that make those domains unique.
NASA Wildfires
Government Decision Intelligence
In government, our partnership with NASA and the Western Fire Chiefs Association advanced wildfire decision-making during the first critical 24 hours of response. By combining data modeling, decision science, and cognitive systems engineering, the project created a flexible framework that helps agencies assess risks, coordinate faster, and invest more effectively in sensors, analytics, and operations. It’s a model for how science and field expertise can unite to strengthen national resilience.