AI-Powered Early Detection of Brain Disorders

Transforming neurological diagnostics through advanced AI decision support

The Diagnostic Crisis in Neurology

A fundamental paradox exists in modern neurology: while therapeutic innovation has delivered advanced treatments, the diagnostic pathway remains archaic, fragmented, and unacceptably slow. This disconnect significantly reduces treatment value due to delays in initiation.

$85.1B

Stroke Market by 2034

Global stroke management market projected growth from $41.7B in 2024

$21.7B

Alzheimer's Market by 2030

Therapeutics and diagnostics market forecast

$4.94B

Brain Tumor Market by 2030

Diagnosis and therapeutics market growth

The current patient journey spans months with significant diagnostic delays. Patients are passed between specialists, undergoing disconnected tests that create a data-rich but insight-poor environment where critical patterns can be overlooked.

The Devastating Consequences of Delay

Time-Critical Conditions

In stroke, every minute of delay leads to the death of millions of neurons. The mantra "time is brain" is a clinical reality with devastating consequences.

For progressive diseases like Alzheimer's, the window for effective intervention occurs long before severe symptoms manifest. By the time diagnosis is certain, significant and irreparable cognitive decline has already occurred.

Economic Burden

Diagnostic delays impose a staggering economic burden on healthcare systems through:

  • Increased long-term care costs
  • Higher hospitalization rates
  • Lost productivity
  • Preventable neurological progression

The existing diagnostic infrastructure is fundamentally ill-equipped to handle the impending wave of aging patients.

The GoodMind Solution

GoodMind introduces a secure, cloud-based diagnostic intelligence engine that empowers clinicians with enhanced insights. Our platform unifies fragmented patient data and transforms it into a coherent, actionable clinical picture.

V1: Neuroimaging-First

CT/MRI decision support for acute stroke and dementia detection with rapid turnaround in minutes

V2+: Multimodal Fusion

Planned integration of EHR, biomarkers, genomics, and cognitive signals as partnerships mature

Seamless Integration

Designed to integrate with existing EMR and PACS systems within clinical workflows

Clinical Workflow Integration

GoodMind integrates seamlessly into existing acute stroke workflows, supporting clinicians at critical decision points without disrupting established protocols.

Scan Acquisition

Patient presents with suspected stroke; emergency CT or MRI scan performed following standard protocols

Upload/Routing

Scan securely uploaded to GoodMind platform (V1: manual upload; V2+: automated PACS routing)

AI Inference

Platform generates triage flag, confidence score, and visual attention maps highlighting regions of interest

Clinician Review

Qualified professional reviews scan alongside GoodMind outputs; clinician makes final diagnostic determination

Escalation/Routing

Case routed appropriately based on clinical judgment: immediate consultation, standard workflow, or additional assessment

Multimodal AI Synthesis: Our Core Innovation

The fundamental flaw in current diagnostics is its reliance on siloed, single-modality analysis. GoodMind shatters these data silos with Multimodal AI Synthesis, creating a comprehensive biological narrative.

01

Current Focus (V1): Neuroimaging Data

Non-contrast CT and structural MRI analyzed for subtle imaging patterns in tissue intensity and texture. This is our core initial product offering, delivering proven value from neuroimaging alone.

02

Planned V2+: Advanced Imaging

Roadmap includes incorporating fMRI and PET to further refine diagnostic signals, once partner data rights and governance are established.

03

Planned V2+: Genomic & Biomarker Data

Integration of genetic risk scores, specific gene variants (e.g., APOE4 for Alzheimer's), and fluid biomarker levels, contingent on partner data access and ethical approvals.

04

Planned V2+: Cognitive & Functional Data

Incorporation of digital cognitive assessments and passive data from smart devices to capture subtle declines long before they become clinically obvious.

Strategic & Business Value

Driving Operational Excellence

Our platform accelerates diagnostic workflows, translating directly into:

  • Reduced Average Length of Stay (ALOS) — Earlier correct treatment initiation frees valuable bed capacity
  • Optimized Resource Allocation — Quicker diagnostic resolution reduces prolonged monitoring and duplicative tests
  • Enhanced Cost-Effectiveness — Improved bottom line while elevating standard of care

Enhancing Clinical Outcomes

  • Improved Diagnostic Accuracy — Designed to reduce diagnostic errors and prevent adverse events
  • Less Invasive Procedures — Clearer diagnostic picture reduces need for exploratory procedures
  • Mitigation of Liability — More accurate, data-driven, auditable diagnostic process reduces malpractice risk

Technical Architecture: Built for Scale

GoodMind is built on Google Cloud Platform (GCP), providing the three pillars essential for mission-critical healthcare solutions.

Scalability

GCP's elastic infrastructure dynamically scales computational resources. Whether processing ten scans or ten thousand, our platform maintains optimal performance without bottlenecks.

Reliability

Leveraging Google's global network and redundant systems guarantees high availability and uninterrupted service for clinical tools practitioners depend on.

Security & Compliance

Healthcare-grade security controls with encryption, role-based access, comprehensive audit logs. Supports HIPAA, GDPR, PDPA compliance. Working toward ISO 13485 and ISO 27001 certification.

1

V1: Secure Upload

Secure upload application for fastest path to pilot

2

V2: PACS Routing

PACS routing integration for automated DICOM ingestion

3

V3: Workflow Integration

Deeper workflow integration including viewer integration and structured reporting

Proven Model Performance

GoodMind's neuroimaging-first platform has produced multiple validated model families for dementia and stroke imaging tasks, demonstrating strong within-dataset performance and critical cross-dataset generalization.

99.97%

MRI Dementia Detection

Within-dataset validation accuracy on OASIS-derived dataset

~98%

Multi-Dataset Average

Average accuracy across dataset holdout scenarios for dementia classification

98.19%

CT Stroke Classification

Accuracy on combined CT stroke dataset (normal, bleeding, ischemia)

Competitive Advantage: An Unassailable Moat

Technical Moat

Paradigm Shift to Multimodal Analysis

While competitors focus on single-modality diagnostics, GoodMind's platform is designed to evolve toward models trained on complementary signals including cognitive performance, imaging, and clinical records. This holistic approach enables significantly earlier and more precise diagnoses.

Data Moat

Proprietary Data Flywheel

Actively building high-dimensional datasets by partnering with healthcare providers in emerging markets. More diverse data leads to more robust models, which attract more partners, creating a self-perpetuating network effect competitors cannot replicate.

Visionary Moat

Foundational Model for Brain Health

Building the world's first foundational model for brain health—a large-scale, pre-trained model serving as the core intelligence layer for a vast ecosystem of neurological and psychiatric applications, from screening to treatment planning to drug discovery.

Go-To-Market Strategy & Business Model

Beachhead: GoodMind Stroke (V1+)

Cloud-first product supporting emergency and stroke workflows using non-contrast CT:

  • Stroke triage and segmentation
  • Ischemic stroke and hemorrhage detection
  • Target turnaround: <2 minutes from upload to results

Target Markets

Initial focus on emerging markets (GCC/Middle East, Pakistan, Indonesia, Philippines) with:

  • Strong demand for improved stroke pathways
  • Limited specialist availability
  • Faster procurement cycles

Flexible Pricing Models

SaaS (per site/network): Annual subscription by sites + volume tiers + modules. Predictable budgets and SLAs for enterprise buyers.

Per-scan (usage-based): $ per processed scan with volume discounts. Low friction adoption for imaging networks.

Hybrid: SaaS base + per-scan overage for mixed networks.

Modular Expansion

  • V1: CT stroke triage + segmentation + bleed
  • V2+: Incidental findings (tumor flags)
  • V3+: Multimodal fusion capabilities

Offices

USA:
600 Congress Ave, Austin, TX 78701,
T: (+1) 512 998 1584

UK:
Floor 3, 50 – 60 Station Rd,
Cambridge CB1 2JH, United Kingdom

UAE:
One Central 8th and 9th Floor
-Trade Centre – Trade Centre 2 – Dubai

Indonesia:
Mampang Business Park Unit A-01, Jl. Tutty Alawiyah, South Jakarta, Indonesia

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