Overview
NeuroChain Analytics is a decision intelligence company founded by Md. Arifur Rahman, focused on AI-powered platforms that optimize operations, forecast risks, and support secure human–AI collaboration across public and private sectors.
Mission
Equip decision-makers with real-time, actionable insights to make faster, safer, and smarter choices.
Vision
Lead the U.S. in AI-driven decision support, advancing supply chain resilience and infrastructure optimization.
Value
Reduce disruptions and costs, increase reliability and transparency, and strengthen national competitiveness.
Problem & Opportunity
U.S. organizations face frequent supply chain shocks, infrastructure delays, and fragmented data that slow response times and increase costs. Leadership teams need explainable AI systems that integrate with existing ERP/SCADA/MIS and provide trustworthy, actionable recommendations.
- Disruptions and delays from limited predictive visibility.
- Data silos across agencies, plants, and vendors.
- Need for secure, auditable AI aligned with U.S. standards.
Solutions
Modular, interoperable platforms designed for real-world deployment.
Decision Support Platforms
Unified dashboards with KPIs, anomaly detection, and prescriptive recommendations integrated with ERP/SCADA/MIS.
Predictive Supply Chain
Demand forecasting, supplier risk scoring, and disruption early-warning models.
Human–AI Collaboration
Natural-language copilots that surface evidence and explain recommendations for leaders.
Public Infrastructure Ops
AI scheduling and resource optimization for public works, transit, and utilities.
Target Market
Public Sector
Municipalities, DOTs, public utilities, and agencies modernizing operations and reporting.
Private Sector
Manufacturing, logistics, and enterprise operations seeking predictive visibility and cost reduction.
Critical Infrastructure
Energy, smart city, and security-sensitive sites adopting NIST-aligned analytics and controls.
Business Model
- SaaS Modules by sector (public works, manufacturing, logistics, infrastructure) with tiered plans.
- Professional Services for data integration, analytics consulting, and change management.
- Training & Certification via NeuroChain Academy for workforce upskilling.
- Strategic Partnerships with state/federal programs and OEM/platform vendors.
Go-to-Market
Pilot-First
Start with 8–12 week pilots to validate ROI and build case studies with municipalities and mid-market enterprises.
Channel & Partners
Alliances with cloud providers, systems integrators, and public sector procurement vehicles.
Outcomes-Driven
Contract on measurable metrics: on-time delivery, cost reduction, risk mitigation, and service-level improvements.
Technology
ML & AI
Python, TensorFlow, PyTorch for forecasting, anomalies, and RL scheduling.
Cloud & Data
AWS, Azure, GCP with streaming pipelines and governed data lakes.
Business Intelligence
Power BI, Tableau, Looker for transparent decision dashboards.
Security
End-to-end encryption and NIST-aligned AI risk controls and auditability.
10-Year Roadmap
Five phases from foundation to global export.
Phase 1 — Foundation & Pilots (Years 1–2)
Incorporate post-PR; MVP decision dashboard; pilots with municipalities & mid-market enterprises; analytics consulting.
Phase 2 — Sector Expansion & SaaS (Years 3–4)
Launch subscription platform with sector-specific modules; secure contracts across manufacturing, logistics, and infrastructure.
Phase 3 — National Scaling (Years 5–6)
State partnerships, smart-city integrations, AI Risk Suite for preparedness; expand customer success and PMO.
Phase 4 — Federal Integration & R&D (Years 7–8)
Federated AI for secure inter-agency collaboration; collaborate with DOE, DOT, DHS; launch NeuroChain Innovation Lab (XAI & governance).
Phase 5 — Global Leadership & Export (Years 9–10)
Export to allied markets; establish NeuroChain Academy for training; host global decision intelligence summits.
Job Creation Plan (10 Years)
Over 100–120 high-skill U.S. jobs across AI, analytics, software, and public sector delivery, with salaries growing as we scale.
| Phase / Years | Roles & Hiring | Estimated Annual Payroll |
|---|---|---|
| Foundation (Y1–Y2) | 5–7 hires: AI/ML Engineers (2), Data Analyst, Software Developer, BizDev Manager, Admin Coordinator. Entry-level startup pay. | $300k – $350k |
| Expansion (Y3–Y4) | +8–10 hires: Supply Chain Analytics (2), Public Sector PM, UI/UX, DevOps, Client Support (2), Sales/Partnerships. Total jobs by end of Y4: ~15–17. | $800k – $950k |
| Scaling (Y5–Y6) | +15–20 hires: Regional Project Leads (5), Sr Data Scientists (3), Cybersecurity (2), Policy & Compliance, Marketing (3), Admin & HR (3). Total jobs by end of Y6: ~32–37. | $1.9M – $2.3M |
| Federal & R&D (Y7–Y8) | +25–30 hires: Federal PMs (5), R&D Engineers (6), Customer Success (5), AI Ethics & Governance (2), Cloud Architects (3), Ops & Finance (4). Total jobs by end of Y8: ~57–67. | $3.6M – $4.2M |
| Global Export (Y9–Y10) | +40–50 hires: International Deployment (8), Academy Trainers (10), Sr Product Managers (4), Global BizDev (5), Tech Support (10), Admin & Legal (5). Total jobs by end of Y10: ~100–120. | $6.8M – $7.5M |
Policy Alignment & National Impact
U.S. National AI Strategy
Accelerates safe AI adoption with explainability, governance, and workforce training.
CHIPS & Science Act
Strengthens domestic innovation and supply chain resilience through applied analytics.
DOE & CISA Priorities
Supports industrial decarbonization, critical infrastructure security, and operational reliability.
Partner with NeuroChain
Ready to pilot or co-develop a module for your agency, plant, or network?