What is a Dedicated Research Instance (DRI)?
A private cognitive machine powered by the Space Neurons causal memory kernel, with modular DRI Apps — InDeLoop, Spine, TaskD and Semantic Radio — installed inside your organization's walls. Instances nest, so a governing instance can oversee sub-instances; the network of instances is dri.network.
What stays private, and what can leave?
Compute runs in your organization's private instance, and confidential data is never pooled or used to train a shared model. Keys and access are governed by your organization under mutual key custody. Outbound traffic is configured, not open: opt-in Semantic Radio shares abstract cause patterns, never raw text, and bounded, approved model calls reach external models through a gateway with policy gates.
How is this different from keyword or vector search?
Keyword search needs shared words, and vector (embedding) search ranks by semantic similarity, so it finds paraphrases. Space Neurons targets a narrower relation: records that share an abstract causal mechanism, even when their topics and vocabulary differ. EXP-048c tests that relation against an embedding baseline; the Technology page sets out the result and its source.
How is the system measured?
Against agentic behaviour rather than retrieval score alone. Retrieval accuracy is reported on held-out public data, but the working measure is whether an agent carrying the memory completes its task better.
How large a fleet can a DRI run?
DRIs are designed for fleets of thousands of agents: an organization, its team instances, scoped worker agents and the people who decide. That is design intent; capacity depends on workload, models and deployment.
How does a partnership start?
With an initial discussion, then a scoped causal question, a bounded DRI evaluation, and commercial and IP alignment. Each party keeps the background IP it brings; foreground IP generated together, and the commercial rights to it, are set out in an explicit project agreement.