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ReTHINK CNERGY

Project · Healthcare AI

AutismRI

Clinical-grade AI diagnostics for neurological conditions. First module: AutismRI — autism spectrum disorder detection via MRI that outperforms the behavioral gold standard.

Status
In development
Seeking
$500K
Market
$4B+ healthcare AI
Profitability
2027–2028

AutismRI

First diagnostic module

AutismRI is a clinical-grade software platform that analyzes MRI imaging to identify neuroanatomical patterns associated with autism spectrum disorder. Using a multi-branch deep learning model trained on the ABIDE dataset, it analyzes both structural MRI and functional fMRI together with patient metadata — returning a risk assessment in seconds with Grad-CAM visual explanations that show clinicians which brain regions drove the result.

The software is designed to be integrated into existing clinical workflows as a diagnostic aid — supporting, not replacing, clinician judgment. Results arrive in seconds versus 30–60+ minutes for behavioral assessments.

AloHelp is a platform, not a single product. Each module uses the same standardized MRI workflow and Gritiva AI Brain infrastructure — enabling compounding clinical value as new conditions are added.

Clinical validation

Outperforms the ADOS-2 gold standard

Trained on the Autism Brain Imaging Data Exchange (ABIDE) — 1,008 subjects across 19 international research sites — AutismRI’s performance exceeds the behavioral assessment benchmark on every metric.

MetricAutismRIADOS-2 BenchmarkImprovement
Sensitivity86%84%+2%
Specificity89%70%+19%
AUC-ROC0.930.90+0.03

Sensitivity: correctly identifies autism. Specificity: correctly excludes healthy controls. AUC-ROC: overall discrimination ability. ADOS-2 is the current gold-standard behavioral assessment.

Technical architecture

AI model
Multi-branch deep learning · 3D CNN + ResNet · Trained on structural MRI and fMRI
Training data
ABIDE dataset · 1,008 subjects · 520 confirmed autism cases + 488 healthy controls · Ages 6–56
Explainability
Grad-CAM heatmaps show which brain regions influenced each result — full transparency for clinicians
Speed
Comprehensive analysis and clinician report delivered in seconds
Compliance
HIPAA-aligned cloud API · Data encryption in transit and at rest · Regulatory-grade documentation
Infrastructure
Gritiva AI Brain — domain-trained proprietary LLM running on-premise or hybrid

Platform roadmap

AloHelp expands beyond autism

Each new module leverages the same Gritiva AI Brain infrastructure and MRI workflow. Clinicians who adopt AutismRI gain access to every future module without rebuilding their integration.

  • Phase 1 · Now

    AutismRI

    Autism spectrum disorder detection via structural MRI

  • Phase 2 · 2028

    ADHD Module

    Attention deficit hyperactivity disorder imaging analysis

  • Phase 3 · 2029

    Alzheimer's Module

    Early Alzheimer's and dementia detection

Investment

Pre-seed · $500K

Capital will fund continued platform development, pilot deployments with partner clinics, and team expansion (medical affairs, clinical partnerships, engineering).

Business model: SaaS subscription for clinics and hospital systems — per-seat or per-scan pricing. Expansion modules (ADHD, Alzheimer’s) add additional revenue streams on the same infrastructure.

Path to profitability: 2027–2028, following initial clinic deployments and continued development milestones.

Clinical partnerships

Interested in piloting AutismRI at your practice?

If your clinic works in pediatric neurology, child psychiatry, or radiology and you’re interested in evaluating an MRI-based autism diagnostic aid — or if you’re looking at AutismRI as a healthcare investment — we’d like to hear from you.