Institutional knowledge
For organizations working with complex public, legal, policy, regulatory, or documentary material. The work begins by respecting the structure and responsibility already present in the sources.
Co-Arq
AI infrastructure for complex organizations.
Co-Arq builds source-grounded AI systems that keep reasoning tied to evidence, operational context, and human responsibility.
Pressure
AI adoption is moving faster than organizational memory.
Most organizations already hold the knowledge they need, but it is dispersed across documents, diagrams, systems, procedures, decisions, and people. When AI is added on top of this fragmentation, the result can become faster without becoming more reliable.
Work
Systems that keep reasoning connected to evidence.
Co-Arq works on AI systems that preserve the link between questions, sources, context, assumptions, and human responsibility.
Depending on the context, this may involve knowledge graphs, retrieval systems, evaluation workflows, and agent interfaces. The public question is not the full stack; it is whether reasoning can remain controlled enough to be trusted.
Fields of work
Built for complex knowledge environments.
Enterprise architecture
For teams that need to reason across systems, applications, data flows, technical decisions, and documentation. The aim is clearer questioning, comparison, and maintenance of shared technical memory.
Regulated operations
For environments where answers need evidence, auditability, and careful deployment. Speed is useful only when the reasoning remains inspectable.
Working principles
A stricter posture for organizational AI.
Evidence before fluency
A convincing answer is not enough. The system must preserve what supports it.
Context before automation
Operational context, constraints, and responsibility shape what AI should do.
Evaluation before scale
Systems should be measured for factuality, completeness, citations, latency, and failure modes before they expand.
Human responsibility by design
AI can retrieve, compare, and draft. Important judgments remain accountable to people.
Direction
A more careful way to introduce AI into organizations.
Co-Arq starts with knowledge infrastructure. The broader ambition is to help organizations reason, decide, and coordinate with greater clarity as AI becomes part of their operations.
Conversation
For pilots, partnerships, or investment conversations.
Co-Arq is open to focused conversations with organizations working on complex knowledge, institutional reasoning, enterprise architecture, or AI governance.