What DMP is for

DMP is built for organizations drowning in information but starving for coherent memory. It:

• Connects structured and unstructured data into a single, evolving memory graph
• Preserves long-term context, so systems don't forget what they learn
• Reduces duplicated work and "lost knowledge" across tools and teams
• Gives AI and analytics a stable, persistent backbone, not a one-off prompt window
• Makes it possible to ask real questions across your entire history—not just whatever happens to be indexed today

Not another AI feature. A different layer.

Most tools today give you:

• Another chatbot UI
• Another RAG endpoint
• Another search bar sitting on top of a vector database

DMP is different:

• Protocol, not product — The underlying memory fabric your systems plug into
• Cross-format by design — Text, logs, schemas, events, graphs: same substrate
• Long-horizon — Built for years of context, not single-session Q&A
• Alignment-aware — Designed around the principle that memory is structural, not extractive

Built for organizations that take memory seriously

DMP is designed for teams and systems where persistent, coherent memory isn't a feature—it's foundational:

• Healthcare systems working to reduce errors and uncover buried clinical/operational insight
• Financial and operational teams who need one coherent memory across vendors, tools, and years
• Builders of emergent intelligence and agents requiring true long-term memory, not prompt hacks
• Organizations willing to treat memory as critical infrastructure, not a side feature

Our commitment to ethical deployment

We partner exclusively with organizations that share our principles:

• Human benefit first — Memory systems should empower people, not extract from them
• Transparent purpose — Clear use cases aligned with organizational mission
• Responsible stewardship — Active governance over how memory is built and used
• Open alignment — Willingness to co-define guardrails and best practices

Recent breakthrough: Universal schema learning

In December 2024, we achieved a significant milestone in memory substrate technology:

• 768× compression for text-based memory with 99.96% fidelity
• 4,800× compression for image-based memory while preserving spatial relationships
• Zero-config schema adaptation — DMP learns arbitrary data structures on first encounter, recalls instantly thereafter
• Multi-modal substrate — Text, images, structured data, events: all unified in the same memory fabric
• Coherence from chaos — Transforms organizational exhaust (logs, events, unstructured notes, mixed formats) into queryable, coherent memory

Tested across 9 different schema formats including scientific experiments, IoT sensor streams, medical records, and technical imagery. All formats compressed, stored, and recalled successfully with substrate-appropriate processing.

Why there's no "Sign up" button

DMP is foundational infrastructure. Like any core system, it requires:

• Clear understanding of organizational context and data sensitivity
• Alignment on deployment principles and intended use cases
• Collaborative integration planning with your existing systems
• Commitment to responsible stewardship of long-term memory

Instead of public self-service, we are:

• Working with a small set of anchor partners in healthcare, finance, and critical systems
• Co-defining integration patterns, guardrails, and long-term best practices
• Building the network thoughtfully with aligned organizations

Request an invitation

If you see DMP as a potential backbone for your organization's memory, tell us who you are and what you're trying to solve.

We review a limited number of requests each quarter.

About DON Systems

DON Systems is building infrastructure for the next paradigm of intelligence—systems that remember, adapt, and self-organize instead of starting from zero each time.

DMP (DON Memory Protocol) is our core memory substrate.
Everything else we build sits on top of that spine.