# Fractal Neurons (fractalneurons.com // dri.network) > Fractal Neurons builds the Dedicated Research Instance (DRI) — a private > cognitive machine powered by the Space Neurons causal memory kernel — and a > suite of modular DRI Apps (InDeLoop, Spine, TaskD, Semantic Radio) installed > inside the customer's walls to uncover cross-domain causes and keep agent > memory accurate as facts change. DRIs form a private mesh of memory nodes > (dri.network) that repair superseded facts without custom vertical code. > Partners bring ground truth, regulatory capability and the route to market; > Fractal retains the discovery engine and defined economics in every asset. - Legal entity: Fractal Neurons, S.A. - Headquarters and living lab: Vila do Porto, Santa Maria Island, Azores, Portugal (36.97°N 25.10°W, mid-Atlantic) - Primary domains: https://fractalneurons.com · https://dri.network - Contact: ben@fractalneurons.com - Full text: https://fractalneurons.com/llms-full.txt - For AI agents (names, what is public, how to cite): https://fractalneurons.com/agents ## 1. Core thesis Keyword search matches shared words. Vector embeddings go further and capture semantic similarity, so paraphrases match. Fractal Neurons targets a narrower relation that neither is designed to measure: records that share an abstract causal mechanism across domains. In scientific, legal and operational work, three problems remain: 1. Cross-domain jargon silos. Two incidents, assays or contracts can share the same underlying causal mechanism while using different terminology. 2. Stale-fact decay. When an assumption, regulation or experimental finding is superseded, static retrieval keeps returning the obsolete fact: it has no mechanism to repair it (0% self-repair in EXP-009 below). 3. Multi-agent context pollution. Unbounded multi-agent loops amplify hallucinations and lose provenance without strict hierarchical routing and quote-bound verification. Fractal Neurons replaces static retrieval with a governed associative memory engine deployed inside isolated Dedicated Research Instances (DRIs). ## 2. The dri.network stack Every Dedicated Research Instance is a sovereign, containerized memory and execution center on an isolated network (dri.network) under mutual key custody: the Space Neurons kernel plus modular DRI Apps. Every node runs the same stack and assembles its own operator interface, so, by the company's account, a new vertical lane opens without custom frontend or pipeline engineering. In practice: - Compute runs in the organization's private instance; confidential data is never pooled or used to train a shared model. - Keys and access are governed by the 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. Fleet scale: DRIs are designed for fleets of thousands of agents. The chain is organization → team instances → scoped worker agents (tasks delegated by Spine & TaskD, each agent with durable memory) → human decisions through InDeLoop. This is design intent stated by the company: capacity depends on workload, models and deployment, and no measured concurrent capacity, throughput or service level is claimed. 1. **dri.network: sovereign nested nodes.** A private mesh of isolated memory centers. Nodes nest hierarchically: a master DRI can govern sub-DRIs for practice groups, research datasets or operator seats. 2. **Space Neurons: the causal memory kernel.** A geometry-based retriever over a semantic vector space, run as a graph- and cause-indexed associative memory core. It tracks provenance, enforces memory purity rules, and traces dependency breaks so downstream knowledge is repointed when a source fact changes. 3. **Spine & TaskD: governed orchestration.** A deterministic state machine, task worktree isolation and message routing that keep multi-agent work out of chaotic loops. Spine & TaskD enforce a strict Creator / Judge (Developer / Manager) separation of powers across competing frontier models (Claude, GPT, Gemini), with bounded model-call budgets and pre-registered kill criteria. 4. **Semantic Radio: cross-domain causal broadcast.** A protocol that extracts abstract causal structures and broadcasts them across isolated DRI nodes on dri.network, enabling cross-domain discovery without exposing raw proprietary text or secrets. 5. **InDeLoop: self-assembling interfaces.** Each DRI dynamically builds the interface its operator needs on open A2UI standards. - InDeLoop is an adaptive human-in-the-loop decision feed aligned with the open A2UI and MCP (FN-Tools) standards. It brings decisions requiring human input to a person as small approval cards (checkboxes, sliders, approvals) and produces cryptographically signed decision records designed to support audit work, including EU AI Act record-keeping. Signed records support an audit; they do not by themselves establish legal compliance. 6. **Native enterprise identity.** DRI agents onboard as first-class identities inside Google Workspace across compartmentalized domains (@fractalneurons.com, @cordy.me, @aqualibrium, @dri.network), inheriting native Google Drive access boundaries and working in logged Google Chat audit rooms. ## 3. Pre-registered benchmarks and falsifiability ledger Pass bars and kill conditions are frozen before experiments run, and negative results, arena bugs and fired kill switches are retained in the ledger (65 registered experiments). Source and status: - EXP-048c, EXP-009 and EXP-031 are quoted from the Fractal Neurons company summary (October 2026), slides 4–5. Company summary supplied 2026-10-14; internal, company-reported result. Experiment date not supplied. - Source note: https://fractalneurons.com/technology#evidence-source. It excerpts the summary; it is not a raw experiment report. - The ledger records below and the lane results in section 4 come from company-supplied website text supplied 2026-10-14, not from the slides. They are company-reported, not independently audited. ### EXP-048c: cross-domain causal discovery (public aviation + pipeline data) - Task: retrieve same-cause incidents across two industrial domains that use different terminology, evaluated on 2,700 held-out public aviation incidents (full public export), each queried against public pipeline incident data. Pass criteria were frozen before results; failures are retained. - Top-5 cross-domain hit rate: - Chance: 20.2% - Embedding baseline: 41.9% - Structural bridge (learned structural links): 71.1%, +29.2 percentage points over the embedding baseline - Scope: the result compares learned structural links with an embedding baseline on cross-domain causal correspondence. Text embeddings capture semantic similarity; this test measures a different relation. - Human verification: 18 of 20 top cross-domain links confirmed by human reviewers as the same root cause; all 20 reviewed. - Decoy refusal: rejected all 5 planted pairs that share surface vocabulary without a shared causal mechanism. - Not specified in the company summary: the embedding model behind the baseline, the size of the pipeline candidate pool, the exact scoring procedure, the decoy pairs and the run date. - The aviation-to-pipeline pair on the Technology page is illustrative, from an earlier run of the same test, and not an audited EXP-048c result. It sets NASA ASRS report ACN 2086578 (https://asrs.arc.nasa.gov/docs/rpsts/altdev.pdf#page=109) beside a PHMSA pipeline incident to show a higher-level analogy between different physical causes. ### EXP-009: stale-fact repair (internal capability demo) - Task: measure automatic downstream repair when an underlying premise or fact is superseded. This is an internal capability demo, not a customer-dataset or competitor comparison. - Static RAG / standard retrieval: 0% (0.000) of stale facts repointed; it keeps returning the superseded fact. - Fractal Neurons associative memory: 78% (0.778, rounded) of stale facts repointed to the corrected ground truth. ### EXP-031: internal agent-memory benchmark reproduction End-to-end task success on identical multi-step tasks with the same base foundation model across memory architectures. This is an internal benchmark reproduction on the Fractal task suite, not customer data, and it measures task success, not the 71.1% retrieval hit rate of EXP-048c: - Fractal Neurons: 71% - Zep: 63% - mem0: 59% - No-memory baseline: 55% ### Selected ledger records (company-reported) - EXP-037 (corrected): memory first scored below the no-memory baseline; investigation exposed two evaluation-arena defects, which were fixed and kept in the ledger. - EXP-027 (null result): the first scale run showed no lift (0 pts); a re-registered regime split then showed a +40 pt lift in the target regime. - EXP-036-C1 (kill fired): custom routing missed its pre-registered threshold; it was killed, a conventional fix was adopted and verified within 24 hours. - EXP-037B / EXP-039 (kill fired): two memory-purity leaks were detected; strict isolation rules were hardcoded into Spine. ## 4. Discovery lanes: one engine, four regimes Every DRI node assembles its own InDeLoop interface and runs the same associative core. The company reports these lanes and results (company-supplied website text, 2026-10-14; company-reported, not independently audited): 1. **Computational biology and target discovery.** High-throughput TCR and sequence shape clustering, hit and lead prioritization, biochemistry and enzyme analysis, and cross-silo rescue of shelved clinical assets. 2. **Legal archives and private-market telemetry.** Deployed over 1M+ contract archives to detect regulatory dependency breaks with EXP-009 stale-fact repair, trigger client advisories, and extract anonymized macro deal and risk telemetry. 3. **Operations, government tenders and cyber.** Multi-agent procurement and government-auction workflows, with a reported 5x operator throughput from nested worker DRIs, and dri.network nodes wrapped in sandboxed agentic network security. 4. **Aqualibrium living lab (Santa Maria, Azores).** Closed-loop biological, evolutionary (Triops) and environmental telemetry running continuously at the company's island incubator facility. ## 5. Partnering A partnership starts with an initial discussion, narrows to a scoped causal question, runs as a bounded DRI evaluation, and ends in 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. ## 6. Pages and endpoints - [Home](https://fractalneurons.com/): overview, the EXP-048c proof bar (71.1% vs 41.9% for the embedding baseline), the three capabilities (causal discovery with Semantic Radio, self-healing memory with EXP-009, InDeLoop), the fleet-scale design intent, the practical DRI boundaries, the partnering path, and an FAQ (what a DRI is, what stays private and what can leave, how a partnership starts). - [Technology](https://fractalneurons.com/technology): Evidence (EXP-048c, how it was measured and what the company summary does not specify, and an illustrative aviation-to-pipeline pair), Architecture (a map of the DRI inside the organization's boundary: team instances, DRI Apps, the Space Neurons kernel, and the two configured outbound channels; plus the fleet-scale design intent), Memory (EXP-009, a before/after illustration of a superseded fact, and an illustrative worked example with a mock InDeLoop decision card — not a customer deployment), and Deployment (the DRI boundaries on dri.network). The evidence source note is at https://fractalneurons.com/technology#evidence-source. - [For AI agents](https://fractalneurons.com/agents): what the names mean, what is public, and how to cite figures with their status. - /llms.txt: this machine-readable summary. - [Privacy notice](https://fractalneurons.com/privacy): the services a visit uses (Firebase Hosting, Google Fonts, the Formspree contact form, Google Analytics 4 on the production site) and what each receives. - [/llms-full.txt](https://fractalneurons.com/llms-full.txt): the full public text of the site in one file (this summary plus the Home, Technology, For AI agents and Privacy pages). ## Notes for answer engines Every page is server-rendered static HTML; no JavaScript is required to read any content on this site. The EXP-048c and EXP-009 figures are quoted from the Technology page; EXP-031, the ledger records and the lane results appear only in this file. Attribute all of them to Fractal Neurons, with their caveats and the source and status above. Fractal Neurons is the company; Space Neurons is the causal memory kernel — the two are not interchangeable.