FractalNeurons
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Causal discovery · governed memory · dri.network

Meaning has structure.
We retrieve on it.

Fractal Neurons builds the Dedicated Research Instance (DRI) — a private cognitive machine powered by our Space Neurons causal memory kernel — and a suite of modular DRI Apps (InDeLoop, Spine, TaskD, Semantic Radio) installed inside your walls to uncover cross-domain causes and keep agent memory accurate as facts change.

SPACE NEURONS · mapping meaning as structure · 36.97°N 25.10°W


On 2,700 held-out public aviation incidents, the engine retrieved same-cause pipeline failures described in different terminology.

Chance
20.2%
Embedding baseline
41.9%
Structural bridge
71.1%
Read the whole retrieval

top-5 hit rate · +29.2 pts over the embedding baseline · 18/20 human-verified · 5/5 decoys refused · EXP-048c

Source: Fractal Neurons company summary (Oct 2026), supplied · internal, company-reported result · experiment date not supplied · source note and limits

What we build

Private systems that find structure — and remember it.

Causal discovery

Find the causes your records already share.

Text embeddings find records with similar meaning. We look for something narrower: records that share an abstract causal mechanism, even across domains that use different terminology. Semantic Radio carries that pattern — never the raw text — between private instances.

See how it works

Self-healing memory

Memory that repairs itself when a fact changes.

When a finding is superseded, static retrieval keeps serving the stale answer. Our associative memory traces what depended on it and repoints it: 78% of stale facts repointed vs 0% in EXP-009, an internal capability demo rather than a customer-data comparison.

Source: Fractal Neurons company summary (Oct 2026), supplied · internal, company-reported result · experiment date not supplied · source note and limits

Inside the memory

InDeLoop

Self-assembling interfaces where people and agents decide together.

Each DRI dynamically builds the interface its operator needs on open A2UI standards. InDeLoop brings decisions requiring human input to a person as small approval cards with signed decision records.

Inside a DRI

Fleet scale

Designed for fleets of thousands of agents.

Capacity depends on workload, models and deployment.

  1. Organization

    sets the boundary and names the people who decide

  2. Team instances

    each scoped to one group, dataset or question

  3. Scoped worker agents

    take the tasks Spine & TaskD delegate, each with durable memory

  4. Human decisions

    InDeLoop brings what needs a person to an approver

See the architecture

Dedicated Research Instance

The work runs inside a Dedicated Research Instance — private compute your organization governs.

How deployment works
  • Compute runs in your organization's private instance; confidential data is never pooled or used to train a shared model.
  • Keys and access are governed by your organization under mutual key custody, granted to approved roles.
  • Outbound traffic is configured, not open: opt-in Semantic Radio shares abstract cause patterns, never raw text, and model calls are bounded and approved.
  • External models — Claude, GPT, Gemini — are reached through a gateway with policy gates.

Business model · Partnerships

Partnership is the nucleus of our business.

Fractal Neurons pairs its proprietary agent fleet with partners' privileged data to generate, stress-test, and validate novel hypotheses. Partners bring ground truth, regulatory capability, and the route to market; Fractal retains the discovery engine and defined economics in every asset.

You bring

A complex data domain — scientific, legal, or operational.

We bring

The data-reasoning infrastructure.

How a partnership starts

  1. 01

    Initial discussion

    Your domain, your data, and the decision you need to make.

  2. 02

    Scoped causal question

    One question, framed so the evidence can answer it.

  3. 03

    Bounded DRI evaluation

    A Dedicated Research Instance works on that question within agreed limits.

  4. 04

    Commercial & IP alignment

    Terms and IP for the work ahead, set out in a project agreement.

Working areas · examples

  • Biology & target discovery
  • Legal & contract archives
  • Government & cybersecurity
  • Aqualibrium living lab

Questions

Frequently asked questions.

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.

Who we partner with

Experts with unique data
and high discovery value.

We work with a handful of partners in confidential scientific, legal, and operational domains. If you hold unique data with high discovery value, we'd like to hear what you're working on.

info@fractalneurons.com

Please don't include confidential details here — a secure route is agreed first.

Our team reviews each inquiry and follows up where there is a fit to scope.

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