1. Facthory: Building the Intelligence System for the Enterprise
The industrial world is entering a new operating era.
Enterprises already have more software, data, automation, and AI tools than ever before. Yet their intelligence remains fragmented across departments, systems, specialists, documents, dashboards, and private AI sessions.
One employee investigates a problem in one tool. Another team analyzes the same issue elsewhere. Engineers, operators, finance teams, suppliers, and managers each hold part of the context. Their systems do not reason together. Their agents do not collaborate. Valuable decisions disappear into meetings, inboxes, and isolated chat histories.
This creates a fundamental limitation:
An enterprise cannot become intelligent when its people, systems, data, and AI operate separately.
Facthory exists to change that.
Facthory is an operational intelligence platform that connects the entire enterprise into a shared, continuously evolving system of understanding.
It builds a Living Operational Model across people, processes, systems, assets, knowledge, decisions, constraints, and outcomes. On top of this model, employees and specialized AI agents work together in persistent, multiplayer sessions to investigate, analyze, coordinate, decide, and improve complex enterprise work.
Our ambition is not to build another assistant.
Our ambition is to create the intelligence layer through which an enterprise can understand and improve itself as a whole.
Our vision:
To become the operational intelligence system for the world’s most complex enterprises, enabling people, AI agents, systems, and machines to reason and operate from the same trusted context.
2. From Individual AI to Collective Intelligence
The first wave of enterprise AI focused on individual productivity.
Employees received assistants that could summarize documents, draft text, search information, and answer questions. These tools can make one person faster, but they do not make the organization itself more intelligent.
Complex enterprise work is inherently collaborative.
A major quality failure may involve production, engineering, maintenance, procurement, finance, and external suppliers. A technical research program may require scientists, analysts, legal experts, executives, and multiple specialized agents. A transformation initiative may continue for months and require hundreds of decisions, handovers, approvals, and supporting artifacts.
This work cannot be reduced to one person prompting one agent in a private window.
Facthory is built around a different principle:
AI becomes transformative when teams and agents work together on shared, persistent problems.
Multiplayer by Default
People and agents can enter the same live work session, see the same operational context, observe progress, add evidence, redirect the work, challenge assumptions, and approve consequential actions.
Shared Context, Not Shared Transcripts
Facthory does not merely let users forward a static conversation. The work itself remains active, structured, governed, and available to authorized participants.
Persistent Enterprise Memory
Research, corrections, decisions, actions, and outcomes become reusable organizational intelligence instead of disappearing when a conversation ends.
Specialized Agent Teams
Different agents can research, analyze, validate, plan, coordinate, and monitor work together, while humans retain oversight and decision authority.
Our goal is not to give every employee an isolated AI tool.
Our goal is to give the enterprise a shared intelligence system.
3. The Living Operational Model
Enterprise systems store fragments of reality.
ERP systems understand transactions. CRM systems understand customer records. MES platforms understand production events. Document repositories understand files. Collaboration tools understand messages. Individual experts understand exceptions, history, and practical judgment.
None of these systems understands the complete operation.
Facthory creates that missing layer.
3.1. A Model of the Entire Enterprise
The Living Operational Model connects:
- People, responsibilities, and expertise
- Processes, workflows, and exceptions
- Systems, data, and enterprise records
- Assets, products, facilities, and locations
- Documents, communications, video, and technical media
- Policies, controls, and operating constraints
- Decisions, evidence, and approvals
- Agents, tools, and permitted actions
- Outcomes, feedback, and organizational learning
This allows Facthory to understand not only what information exists, but how it relates to the work being performed.
3.2. Continuously Evolving Intelligence
The model changes as the enterprise changes.
New operational events, expert contributions, system records, decisions, agent findings, and measured outcomes continuously strengthen the context available for future work.
It is not a static graph, document index, or one-time digital twin.
It is a living representation of how the organization operates.
3.3. Context for People and Agents
The same model supports employees and AI agents.
A person can investigate a problem through the relationships between systems, processes, experts, and previous outcomes. An agent can use the same governed context to conduct research, analyze data, coordinate work, or prepare recommendations.
The result is shared operational understanding across human and artificial intelligence.
4. Multiplayer Agents for Complex Enterprise Work
Most AI systems remain single-player.
A user submits a prompt, receives an answer, and continues alone. This interaction model is sufficient for simple tasks. It fails when the work is long-running, multidisciplinary, consequential, or operationally complex.
Facthory treats agents as participants in enterprise work.
4.1. Shared Agent Sessions
Authorized employees, experts, supervisors, and agents can work inside the same persistent session.
Participants can:
- Observe the agent’s plan and current activity
- Add missing information
- Redirect the investigation
- Assign work to additional agents
- Request expert input
- Review intermediate findings
- Approve or reject recommendations
- Hand work between teams
- Preserve the complete result for future reuse
4.2. Work That Lasts Beyond a Prompt
Facthory agents can operate across hours, days, or weeks.
They maintain plans, tasks, evidence, dependencies, decisions, and unresolved questions throughout the lifecycle of the work.
This makes them suitable for:
- Scientific and technical research
- Engineering investigations
- Process discovery and optimization
- Quality and root-cause analysis
- Operational analytics
- Procurement and supplier intelligence
- Financial performance investigations
- Workforce and knowledge-risk programs
- Long-running transformation initiatives
4.3. Governed Collaboration
Agents do not operate without boundaries.
Facthory controls which sources an agent may access, which tools it may use, what actions it may perform, and where human approval is required.
The objective is not unrestricted autonomy.
It is reliable collaboration between people and specialized artificial intelligence.
5. Technological Positioning: An Operational Intelligence Platform
Facthory does not compete as another chatbot, copilot, document assistant, or workflow application.
It targets a more fundamental layer:
The intelligence and coordination system across the enterprise operation.
5.1. Beyond Retrieval
Retrieving a relevant document is often only the beginning.
Facthory connects that document to the related process, asset, expert, system record, previous decision, operational constraint, and measured outcome.
This allows people and agents to answer more consequential questions:
- What actually happened?
- Why did it happen?
- Which parts of the enterprise are affected?
- What evidence supports the conclusion?
- Which constraints apply?
- Who should contribute or approve?
- What should happen next?
- What did the organization learn from the outcome?
5.2. Beyond Workflow Automation
Traditional workflow tools move tasks between predefined steps.
Facthory can help understand the problem, discover the actual process, identify missing context, coordinate specialized agents, involve relevant experts, and adapt the work as new evidence appears.
5.3. Beyond Generic AI
Facthory is not dependent on one model or one provider.
Its platform governs model selection, routing, evaluation, fallback, context assembly, tool use, permissions, and human oversight according to the task and deployment requirements.
The value is not merely the model.
The value is the operational system around the model.
6. Deep Engineering, Not an AI Wrapper
Facthory is a substantial software platform engineered to support complex enterprise use cases.
Its architecture includes:
- Multimodal ingestion and understanding
- Enterprise integration and connector infrastructure
- Living operational models and graph intelligence
- Durable agent execution
- Multiplayer collaboration
- Autonomous analytics
- Research and technical reasoning
- Workflow and tool orchestration
- Identity, permissions, and governance
- Human review and approval
- Auditability and provenance
- Model routing and evaluation
- Private-cloud and customer-controlled deployment
- Scalable application and data infrastructure
The platform is designed for continuous operation, long-running work, sensitive enterprise information, and evolving model ecosystems.
Facthory does not place a thin interface around a general-purpose model.
It builds the operational architecture required to make advanced AI useful, collaborative, governed, and dependable inside real organizations.
7. People, Agents, Systems, and Machines
The future enterprise workforce will not consist only of employees.
It will combine:
People
Provide judgment, accountability, creativity, physical capability, and organizational responsibility.
AI Agents
Research, analyze, plan, coordinate, and execute digital work.
Enterprise Systems
Maintain authoritative records, enforce transactions, and trigger operational activity.
Machines and Robotics
Observe and perform physical work through connected equipment, autonomous systems, and robotics.
These actors require a shared understanding of:
- The work to be performed
- Relevant operational history
- Current state and available evidence
- Applicable procedures and constraints
- Required skills and capabilities
- Permitted actions
- Risk and safety conditions
- Approval requirements
- Expected outcomes
Facthory provides the intelligence layer through which this mixed workforce can coordinate.
Our long-term vision is Artificial General Operations:
The ability of an enterprise to understand, coordinate, and continuously improve work across people, agents, systems, and machines.
8. Human Authority and Augmented Intelligence
Facthory is designed to amplify human capability, not make human responsibility irrelevant.
AI can explore more information, test more hypotheses, identify more relationships, and coordinate more activity than an individual person can manage alone.
Humans remain essential where work requires:
- Judgment
- Accountability
- Ethical consideration
- Strategic direction
- Practical experience
- Negotiation
- Creativity
- Approval of consequential action
For Facthory, augmented intelligence means combining machine-scale reasoning with human authority.
Humans Define Purpose
People determine the business objective, boundaries, priorities, and acceptable outcomes.
Agents Expand Capacity
Agents perform research, analysis, coordination, and repetitive execution at a scale beyond individual capacity.
Experts Validate Reality
Employees and specialists correct assumptions, add context, and verify that findings reflect actual operations.
Governance Controls Action
Sensitive or consequential actions remain subject to defined permissions, evidence requirements, and approval workflows.
The goal is not to remove people from the enterprise.
It is to let people operate with the combined intelligence of the enterprise behind them.
9. Infrastructure, Data, and Operational Context
Facthory is designed to work across the existing enterprise landscape.
It does not require organizations to replace the systems that already manage transactions, assets, production, customers, projects, documents, or communications.
9.1. Connect the Existing Stack
Facthory can integrate with:
- ERP, CRM, MES, QMS, CMMS, and EAM platforms
- Data warehouses, lakes, and analytical systems
- Document and collaboration environments
- Email and organizational communications
- Engineering, CAD, BIM, and technical repositories
- Procurement, supplier, and contract platforms
- Learning and workforce systems
- Operational video, images, audio, and event streams
- Internal applications and industry-specific systems
9.2. Add the Missing Intelligence Layer
Facthory connects these systems through shared entities, relationships, processes, ownership, evidence, and outcomes.
This allows employees and agents to operate across system boundaries without losing context.
9.3. Close the Learning Loop
Each investigation, correction, decision, action, and result can strengthen the model.
The enterprise does not merely execute work.
It continuously learns from how the work was performed and what happened afterward.
10. Sovereignty, Security, and Enterprise Control
Facthory is built for organizations that require control over sensitive operational and technical information.
Deployment options can include:
- Facthory-managed European cloud
- Dedicated enterprise environments
- Customer-owned Azure deployments
- Private-cloud architectures
- Hybrid configurations
- On-premises deployments
- Customer-controlled model endpoints
- Regional data-processing restrictions
Enterprise controls can include:
- Single sign-on and identity integration
- Role- and source-based permissions
- Private networking
- Data residency controls
- Human approval gates
- Agent activity histories
- Evidence and provenance tracking
- Configurable retention and deletion
- Model governance and evaluation
- Audit-ready system records
Facthory centralizes intelligence policy while allowing sensitive data and inference execution to remain in customer-controlled environments where required.
This allows organizations to adopt advanced AI without surrendering operational sovereignty.
11. Business Impact
Facthory creates value by improving how complex work is understood and performed.
Faster Investigation
Teams and agents can work across systems, evidence, and expertise without repeatedly reconstructing context.
Better Decisions
Recommendations are connected to organizational evidence, previous outcomes, relevant constraints, and required approvals.
Reduced Operational Fragmentation
People, systems, data, and agents operate through one shared intelligence layer.
Scalable Expertise
Specialized knowledge becomes accessible across sites, teams, and future agent workflows.
Greater Workforce Capacity
Employees spend less time searching, coordinating, repeating analysis, and resolving known issues.
Continuous Improvement
Every validated outcome strengthens the organization’s ability to handle future work.
Stronger AI Economics
Model usage is routed according to complexity, cost, latency, and quality rather than treating every task as a frontier-model problem.
The result is not merely productivity improvement.
It is an enterprise that becomes increasingly capable over time.
12. European Mission, Global Ambition
Europe has world-class industrial companies, engineering talent, scientific capability, and highly specialized operational expertise.
But much of this intelligence remains fragmented across countries, companies, systems, and generations.
At the same time, the next generation of global companies will be built around coordinated human and artificial intelligence.
Europe cannot compete by adding isolated chatbots to existing workflows.
It must build enterprises capable of reasoning, coordinating, and learning as integrated systems.
Facthory is being built in Europe with global ambition.
Our mission is to give European and international enterprises an operational intelligence platform that combines:
- Advanced AI
- Enterprise sovereignty
- Human authority
- Industrial depth
- Multiplayer collaboration
- Long-term organizational memory
- Private and flexible deployment
- Continuous operational learning
We intend to establish a category of enterprise software far larger than knowledge management, copilots, or workflow tools.
The category is operational intelligence.
The destination is Artificial General Operations.
13. Strategic Market Position
Facthory sits at the intersection of several large and converging markets:
- Enterprise AI platforms
- Industrial software
- Knowledge and information management
- Data and analytics
- Agentic automation
- Workforce technology
- Engineering and R&D software
- Operational excellence
- Enterprise collaboration
- AI governance and infrastructure
Most competitors address one part of this landscape.
Facthory connects the full operational system.
This creates a platform expansion path from initial high-value solutions into broader enterprise adoption:
- Begin with one measurable operational problem
- Connect the relevant information and systems
- Build the operational context
- Deploy specialized agents
- Expand across adjacent functions
- Establish the Living Operational Model as shared infrastructure
- Become the intelligence and coordination layer across the enterprise
This is the basis for building a category-defining company.
14. The Path to a €1 Billion-Plus Company
A €1 billion-plus outcome will not come from selling isolated features or small productivity tools.
It requires Facthory to become deeply embedded in how enterprises understand, coordinate, and improve their operations.
The strategic path is:
Own the Operational Model
Become the system that understands the relationships between enterprise work, systems, people, assets, decisions, and outcomes.
Own Collaborative Agent Work
Make Facthory the environment where teams and agents conduct consequential, long-running enterprise work together.
Expand From Solutions Into Infrastructure
Win through high-value solutions, then become the shared operational intelligence layer supporting multiple departments and sites.
Create Compounding Organizational Data
Build proprietary customer-specific operational context from decisions, corrections, actions, and measured outcomes.
Establish Enterprise Distribution
Use direct enterprise sales, Microsoft Marketplace, partners, system integrators, and strategic alliances to scale adoption.
Protect Recurring Platform Economics
Generate revenue from software subscriptions, enterprise deployments, agents, governance, integrations, and platform usage rather than relying on low-margin model resale.
Become Difficult to Replace
The deeper Facthory understands the enterprise and supports its shared human-agent work, the more strategically important the platform becomes.
The objective is not simply to reach a large number of users.
The objective is to become essential operational infrastructure.
15. Our Mission in One Line
Facthory gives people and AI agents a shared understanding of the enterprise, so they can solve complex work together and continuously improve the entire operation.
We are building toward a future in which an enterprise can combine its people, systems, data, agents, and machines into one coordinated intelligence system.
Where work is multiplayer by default.
Where every decision strengthens organizational memory.
Where complex operations become increasingly understandable, governable, and autonomous.
Where the whole becomes far greater than the sum of its parts.