Mobius AI, Inc. orchestrates certainty in an uncertain world.
We are building the operating system for digital orchestration of the physical world—starting with mobility and non-emergency medical transportation (NEMT).
Emerging from Vanderbilt University, Mobius AI is developing an agentic AI platform that transforms chaotic, real-time mobility logistics into reliable, efficient operations—beginning with non-emergency medical transportation (NEMT) and microtransit.
Legacy systems rely on static scheduling, leading to unpredictable trips, last-minute cancellations, missed rides, idle vehicles, and high inefficiencies that disproportionately impact vulnerable riders. Mobius replaces manual processes with a layered, interpretable AI architecture: Predictive forecasting, dynamic optimization, agentic decision-making, and explainable interfaces.
Dispatchers retain full control via an interactive console that provides transparent reasoning for recommendations and enables one-click overrides. Early pilots in Tennessee have delivered double-digit improvements in on-time performance and fleet utilization, while reducing dispatcher workload by more than 20%. Additional deployments show up to 18% reduction in total miles driven and on-time performance rising from 88% to 95%.
Backed by an NSF STTR grant and venture investments, Mobius commercializes cutting-edge research in human-guided, interpretable AI to create safer, fairer, and more efficient transportation networks. Our mission: shift from managing chaos to orchestrating reliability—ensuring every trip happens on time, with trust, and minimal waste.
Leadership Team
- Cal Westenberg – CEO
Leads with expertise in operations, technology commercialization, and venture building. Previously scaled startups in logistics and enterprise software; experienced in managing multi-stakeholder public-private innovation programs. - Michael Wilbur – CTO
Systems architect and data engineer with deep experience in real-time optimization, cloud infrastructure, and mobility platforms. - Abhishek Dubey – Chief Science Officer
Ph.D. researcher in artificial intelligence, specializing in human-AI teaming and interpretable optimization. His NSF-funded work forms the scientific foundation of Mobius’ agentic platform. - Ayan Mukhopadhyay – Research Engineer
Bridges research and product development, implementing advanced machine-learning and optimization algorithms into production systems. - Grayson McClain – Chief Revenue Officer
Brings enterprise sales, market development, and communications expertise in emerging technology sectors.
This cross-functional team combines proven startup leadership, deep AI research, and domain expertise in mobility operations—uniquely positioned to commercialize human-guided, interpretable AI at scale.
Mobius’ go-to-market strategy targets pilot-to-platform expansion in private non-emergency medical transportation (NEMT) and microtransit markets, leveraging existing customers as reference accounts operating in 18 states and 23 major metropolitan areas.
These customers serve as organic sales channels to municipal clients. We build awareness through industry contacts, high-visibility tradeshows, and conferences.
Key Elements
- Initial Deployments
Regional mobility providers in Tennessee embed the platform to automate workflows and boost on-time performance. Each starts as a 90-day pilot with clear ROI metrics (on-time %, missed trips, dispatcher workload), converting to annual SaaS contracts priced by fleet size and trip volume. - Strategic Partnerships
Mobility operators/brokers (e.g., RMS, Navarre) for diverse fleet validation; healthcare/insurance networks for Medicaid/NEMT compliance; technology integrators for API-embedded AI layer; academic partners including Vanderbilt’s Institute for Innovation in Computing to accelerate NSF-funded commercialization.
Mobius sells AI as a reliability enhancer—not a replacement—earning dispatcher trust first before scaling automation. This customer-led approach, combined with partnerships across healthcare, government, and research, positions Mobius as the AI orchestration layer for the mobility industry.
Mobius operates on a SaaS licensing model priced per vehicle per month, with tiered rates based on fleet size, feature depth, and configuration (typically $50–$100 per vehicle/month).
Product Tiers
- Core
Manual/semi-automated scheduling, trip ingestion, and reporting. - Predict
AI-enhanced forecasting, will-call prediction, and constraint-aware assignment. - Orchestrate
Agentic automation, natural-language interaction, and explainable AI dashboards.
As of late 2025, Mobius holds $623,000 in ARR under contract (≈900 active vehicle licenses), with revenue recognition starting Q1 2026. Additional negotiations represent ≈300 more licenses ($230,000 ARR).
Revenue begins in Q4 2025 post-onboarding, with strong unit economics and path to significant scaling.
Investment Opportunity
Mobius is seeking $2.5 million in Seed funding to accelerate commercialization of its AI-driven mobility orchestration platform and expand from Tennessee pilots to multi-region Southeast growth.
Use of Proceeds
| Allocation | Percentage | Purpose |
|---|---|---|
| Product & Engineering | 45% | Complete v1.0 development (Agentic Orchestration), including natural-language interaction, digital-twin simulation, and API interoperability with legacy systems. |
| Customer Success & Deployments | 25% | Expand teams for implementation, training, and support to onboard regional mobility and healthcare providers. |
| Sales & Partnerships | 20% | Build relationships with Medicaid brokers, healthcare networks, and city mobility offices to drive SaaS growth. |
| Research & Compliance | 10% | Advance NSF STTR work on human-AI teaming, interpretability, and fairness for technical edge and regulatory readiness. |
This investment will scale from $620K ARR under contract to over $2.5M ARR within 18-24 months (85%+ gross margins). We seek mission-aligned investors in AI, mobility, and infrastructure who share our vision for equitable, reliable transportation.
Mobius has completed development and structured testing of its v0.1 MVP with early adopters in Tennessee, Georgia, Virginia, and Michigan. Pilots demonstrate strong results: up to 18% reduction in miles driven and on-time performance improvements from 88% to 95%.
Progressing to v0.2, introducing AI prediction and agentic capabilities integrated into user workflows, with enhancements to core business, scheduler, dispatcher, and driver tools.
The next paradigm shift (product vX) includes three core innovations: (1) natural-language input converted to optimizer math; (2) always-on planning engine that adapts instantly to real-world changes; (3) transparent, explainable UX with “why” explanations and what-if scenario testing for human-AI collaboration.
Backed by NSF STTR grant-funded research from Vanderbilt, Mobius delivers human-guided, interpretable AI ready for commercial deployment in complex, constraint-heavy mobility environments.
Mobius has raised a total of $800,000.
Funding Details
| Source | Amount | Year |
|---|---|---|
| Angel Investor | $500,000 | 2024 |
| Vanderbilt Innovation Investment Committee (IIC) | $300,000 | 2025 |
An additional $815,000 is open for investment through January 2026 and filling quickly.
