Industries

ACADEMIA & RESEARCH

Advancing Spatial Intelligence Through Collaboration

XRDNA partners with universities and research institutions to push the boundaries of spatial computing, AI, and next-generation addressing systems.

Research Capabilities

Comprehensive solutions for academic research and institutional collaboration.

Research Infrastructure

Research Testbeds & Experimentation

Collaborative testbed environments with precise spatial frameworks for reproducible research.

Experiment Schema

{
  "experiment_id": "exp-2025-spatial-nav",
  "domain": {
    "type": "indoor",
    "evaAddress": "eva://us.ma.mit/csail/robotics-lab",
    "bounds": { "x": 20, "y": 15, "z": 3 }
  },
  "sensors": [
    { "id": "lidar-001", "position": "eva://...lab/sensor-a" },
    { "id": "camera-array", "position": "eva://...lab/ceiling" }
  ],
  "protocol": "manifest://spatial-nav-v2",
  "data_governance": "soi://irb-2025-0142"
}

Platform Capabilities

Spatial Data Repository

Protocol Automation

IRB Compliance

3D Experiment Replay

eVa: Precise spatial boundaries with centimeter-accurate reference frames
Mission Fabric: Automated experiment execution with multi-system coordination
SoI: Data governance and audit trails for peer-reviewed publication
MoE: Interactive visualization for trial comparison and collaboration

Advanced Research

AI, Robotics & Cyber-Physical Systems

Ground-truth positioning and coordination infrastructure for autonomous systems research.

Localization Research

SLAM algorithm benchmarking
Centimeter-accurate ground truth
Cross-approach comparison

Multi-Agent Systems

Swarm intelligence testing
Physical + simulation hybrid
Emergent behavior analysis

AI Safety

Sandboxed experimentation
Operational boundary enforcement
Anomaly detection & halt

Research Middleware Stack

// Multi-robot coordination example
manifest.define({
  name: "swarm-formation-test",
  agents: robotFleet.filter(r => r.status === "ready"),
  behaviors: [
    { type: "formation", pattern: "grid", spacing: "2m" },
    { type: "obstacle_avoidance", model: "spatial-nn-v3" },
    { type: "consensus", algorithm: "distributed-mean" }
  ],
  safety: {
    boundaries: "soi://lab/safe-zone",
    maxVelocity: "1.5m/s",
    haltOnAnomaly: true
  }
});

Behavior Analysis Tools

Trajectory Visualization

Decision Point Analysis

Multi-Agent Replay

Failure Mode Detection

Emergent Pattern ID

Publication Export

Data Governance

Secure Collaboration & Data Provenance

Zero-trust research environments with complete data lineage tracking.

Collaboration Security Model

Data Provenance

Every dataset tracks origin, processing history, and access

Federated Learning

Train across institutions without sharing raw data

Multi-Party Access

Complex policies for cross-institutional collaboration

Shared Workspace

Co-browse, annotate, and record collaborative analysis

Data Access Policy Schema

{
  "policy_id": "soi://research/multi-inst-2025",
  "participants": [
    { "org": "MIT", "clearance": "cui", "roles": ["lead"] },
    { "org": "Stanford", "clearance": "public", "roles": ["compute"] },
    { "org": "DoD-Lab", "clearance": "secret", "roles": ["validation"] }
  ],
  "data_rules": {
    "raw_data": { "access": ["MIT"], "location": "us-only" },
    "aggregated": { "access": ["MIT", "Stanford"] },
    "results": { "access": ["all"], "after": "publication" }
  },
  "audit": { "retention": "7-years", "export": "irb-compliant" }
}

Technology Transfer

Dual-Use Transition & Commercialization

Seamless pathways from research prototypes to production deployments. The same XRDNA framework scales from lab to enterprise.

Stage 1: Research: — Lab prototype using XRDNA addressing with full testbed support
Stage 2: Validate: — Multi-site testing with SoI governance and compliance tracking
Stage 3: License: — IP protection during tech transfer with blockchain-verified provenance
Stage 4: Deploy: — Same framework scales to production with enterprise SLAs

tech-transfer.ts

// Technology transfer lifecycle
const transferPipeline = {
  source: {
    lab: "eva://us.ma.mit/csail/robotics",
    prototype: "manifest://swarm-nav-v2",
    governance: "soi://irb-2025-0142"
  },

  phases: {
    research: {
      status: "complete",
      outputs: ["paper", "dataset", "model"]
    },
    validation: {
      sites: ["stanford", "cmu", "industry-partner"],
      metrics: { accuracy: 0.97, latency: "12ms" }
    },
    licensing: {
      ip: "patent-pending-2025-0847",
      terms: "exclusive-commercial"
    },
    deployment: {
      target: "eva://prod/fleet-mgmt",
      scale: "10000-agents",
      sla: "99.9%"
    }
  },

  sbir: {
    phase: "III",
    agency: "darpa",
    contract: "HR001125C0042"
  }
};

Phase I Ready

Phase II Ready

Phase III Ready

Partnerships

University–Industry–Government Programs

Tri-sector collaboration infrastructure for workforce development and research initiatives.

University

Research labs and testbeds
Graduate student programs
Publication and IP generation
Curriculum development

Industry

R&D centers and facilities
Commercial use cases
Technology licensing
Workforce hiring pipeline

Government

National labs and facilities
Mission requirements
Security frameworks (CUI, ITAR)
Grant and contract funding

Cross-Sector Integration

// Unified research infrastructure
const partnership = {
  universities: ["MIT", "Stanford", "CMU"],
  industry: ["xrdna", "partner-corp"],
  government: ["darpa", "nsf", "doe"],

  infrastructure: {
    addressing: "eVa federated namespace",
    orchestration: "Mission Fabric shared manifests",
    security: "SoI tri-sector policies",
    visualization: "MoE collaboration workspace"
  },

  governance: {
    ip: "joint-ownership-agreement",
    data: "tiered-access-by-clearance",
    publication: "government-review-30-days"
  }
};

Program Coordination

eVa

Unified addressing across labs, R&D centers, and government facilities

Mission Fabric

AI-tracked milestones and cross-partner workflow coordination

SoI

CUI/ITAR compliance with maximum collaboration enabled

MoE

Program dashboard with stakeholder visibility across all partners

Research Focus Areas

Spatial Computing

Research into 5D addressing, vector semantics, and spatial intelligence systems.

AI & Machine Learning

GraphRAG, contextual AI, and mission-aware machine learning applications.

Security & Trust

Zero-trust architecture, spatial access control, and federated security models.

Partner with XRDNA

Explore research collaboration opportunities and academic partnerships.

Contact Academic Relations

Solutions

Industries

Resources

About

XRDNA, MoE, Map of Everything, eVa, Sphere of Influence, and Mission Fabric are all registered trademarks for XRDNA Inc
2026 XRDNA, Inc. All Rights Reserved.

Industries

ACADEMIA & RESEARCH

Advancing Spatial Intelligence Through Collaboration

XRDNA partners with universities and research institutions to push the boundaries of spatial computing, AI, and next-generation addressing systems.

Research Capabilities

Comprehensive solutions for academic research and institutional collaboration.

Research Infrastructure

Research Testbeds & Experimentation

Collaborative testbed environments with precise spatial frameworks for reproducible research.

Experiment Schema

{
  "experiment_id": "exp-2025-spatial-nav",
  "domain": {
    "type": "indoor",
    "evaAddress": "eva://us.ma.mit/csail/robotics-lab",
    "bounds": { "x": 20, "y": 15, "z": 3 }
  },
  "sensors": [
    { "id": "lidar-001", "position": "eva://...lab/sensor-a" },
    { "id": "camera-array", "position": "eva://...lab/ceiling" }
  ],
  "protocol": "manifest://spatial-nav-v2",
  "data_governance": "soi://irb-2025-0142"
}

Platform Capabilities

Spatial Data Repository

Protocol Automation

IRB Compliance

3D Experiment Replay

eVa: Precise spatial boundaries with centimeter-accurate reference frames
Mission Fabric: Automated experiment execution with multi-system coordination
SoI: Data governance and audit trails for peer-reviewed publication
MoE: Interactive visualization for trial comparison and collaboration

Advanced Research

AI, Robotics & Cyber-Physical Systems

Ground-truth positioning and coordination infrastructure for autonomous systems research.

Localization Research

SLAM algorithm benchmarking
Centimeter-accurate ground truth
Cross-approach comparison

Multi-Agent Systems

Swarm intelligence testing
Physical + simulation hybrid
Emergent behavior analysis

AI Safety

Sandboxed experimentation
Operational boundary enforcement
Anomaly detection & halt

Research Middleware Stack

// Multi-robot coordination example
manifest.define({
  name: "swarm-formation-test",
  agents: robotFleet.filter(r => r.status === "ready"),
  behaviors: [
    { type: "formation", pattern: "grid", spacing: "2m" },
    { type: "obstacle_avoidance", model: "spatial-nn-v3" },
    { type: "consensus", algorithm: "distributed-mean" }
  ],
  safety: {
    boundaries: "soi://lab/safe-zone",
    maxVelocity: "1.5m/s",
    haltOnAnomaly: true
  }
});

Behavior Analysis Tools

Trajectory Visualization

Decision Point Analysis

Multi-Agent Replay

Failure Mode Detection

Emergent Pattern ID

Publication Export

Data Governance

Secure Collaboration & Data Provenance

Zero-trust research environments with complete data lineage tracking.

Collaboration Security Model

Data Provenance

Every dataset tracks origin, processing history, and access

Federated Learning

Train across institutions without sharing raw data

Multi-Party Access

Complex policies for cross-institutional collaboration

Shared Workspace

Co-browse, annotate, and record collaborative analysis

Data Access Policy Schema

{
  "policy_id": "soi://research/multi-inst-2025",
  "participants": [
    { "org": "MIT", "clearance": "cui", "roles": ["lead"] },
    { "org": "Stanford", "clearance": "public", "roles": ["compute"] },
    { "org": "DoD-Lab", "clearance": "secret", "roles": ["validation"] }
  ],
  "data_rules": {
    "raw_data": { "access": ["MIT"], "location": "us-only" },
    "aggregated": { "access": ["MIT", "Stanford"] },
    "results": { "access": ["all"], "after": "publication" }
  },
  "audit": { "retention": "7-years", "export": "irb-compliant" }
}

Technology Transfer

Dual-Use Transition & Commercialization

Seamless pathways from research prototypes to production deployments. The same XRDNA framework scales from lab to enterprise.

Stage 1: Research: — Lab prototype using XRDNA addressing with full testbed support
Stage 2: Validate: — Multi-site testing with SoI governance and compliance tracking
Stage 3: License: — IP protection during tech transfer with blockchain-verified provenance
Stage 4: Deploy: — Same framework scales to production with enterprise SLAs

tech-transfer.ts

// Technology transfer lifecycle
const transferPipeline = {
  source: {
    lab: "eva://us.ma.mit/csail/robotics",
    prototype: "manifest://swarm-nav-v2",
    governance: "soi://irb-2025-0142"
  },

  phases: {
    research: {
      status: "complete",
      outputs: ["paper", "dataset", "model"]
    },
    validation: {
      sites: ["stanford", "cmu", "industry-partner"],
      metrics: { accuracy: 0.97, latency: "12ms" }
    },
    licensing: {
      ip: "patent-pending-2025-0847",
      terms: "exclusive-commercial"
    },
    deployment: {
      target: "eva://prod/fleet-mgmt",
      scale: "10000-agents",
      sla: "99.9%"
    }
  },

  sbir: {
    phase: "III",
    agency: "darpa",
    contract: "HR001125C0042"
  }
};

Phase I Ready

Phase II Ready

Phase III Ready

Partnerships

University–Industry–Government Programs

Tri-sector collaboration infrastructure for workforce development and research initiatives.

University

Research labs and testbeds
Graduate student programs
Publication and IP generation
Curriculum development

Industry

R&D centers and facilities
Commercial use cases
Technology licensing
Workforce hiring pipeline

Government

National labs and facilities
Mission requirements
Security frameworks (CUI, ITAR)
Grant and contract funding

Cross-Sector Integration

// Unified research infrastructure
const partnership = {
  universities: ["MIT", "Stanford", "CMU"],
  industry: ["xrdna", "partner-corp"],
  government: ["darpa", "nsf", "doe"],

  infrastructure: {
    addressing: "eVa federated namespace",
    orchestration: "Mission Fabric shared manifests",
    security: "SoI tri-sector policies",
    visualization: "MoE collaboration workspace"
  },

  governance: {
    ip: "joint-ownership-agreement",
    data: "tiered-access-by-clearance",
    publication: "government-review-30-days"
  }
};

Program Coordination

eVa

Unified addressing across labs, R&D centers, and government facilities

Mission Fabric

AI-tracked milestones and cross-partner workflow coordination

SoI

CUI/ITAR compliance with maximum collaboration enabled

MoE

Program dashboard with stakeholder visibility across all partners

Research Focus Areas

Spatial Computing

Research into 5D addressing, vector semantics, and spatial intelligence systems.

AI & Machine Learning

GraphRAG, contextual AI, and mission-aware machine learning applications.

Security & Trust

Zero-trust architecture, spatial access control, and federated security models.

Partner with XRDNA

Explore research collaboration opportunities and academic partnerships.

Contact Academic Relations

Solutions

Industries

Resources

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