What is Spectral AI, Inc. stock?
MDAI is the ticker symbol for Spectral AI, Inc., listed on NASDAQ.
Founded in 2020 and headquartered in Dallas, Spectral AI, Inc. is a Medical Specialties company in the Health technology sector.
What you'll find on this page: What is MDAI stock? What does Spectral AI, Inc. do? What is the development journey of Spectral AI, Inc.? How has the stock price of Spectral AI, Inc. performed?
Last updated: 2026-05-14 10:25 EST
About Spectral AI, Inc.
Quick intro
Spectral AI, Inc. (Nasdaq: MDAI) is a Dallas-based predictive AI company specializing in medical diagnostics for wound care. Its core DeepView™ System utilizes multispectral imaging and proprietary algorithms to provide immediate "Day One" healing assessments for burns and diabetic foot ulcers.
In 2024, the company reported Research & Development revenue of $29.6 million, a 63.5% year-over-year increase driven by its BARDA contract. While maintaining a net loss of $15.3 million, Spectral AI improved its capital structure, ending the year with $10.2 million in cash and preparing for commercial revenue in late 2024.
Basic info
Spectral AI, Inc. Business Overview
Spectral AI, Inc. (Nasdaq: MDAI) is a predictive AI company specializing in medical diagnostics, specifically focusing on the visualization and assessment of wound healing. The company integrates deep learning algorithms with multispectral imaging (MSI) to provide clinicians with objective, real-time data to improve treatment decisions.
Core Business Segments: DeepView™ System
The company’s primary offering is the DeepView™ Predictive Analytics Platform. This technology is designed to solve a critical problem in wound care: the inability of the human eye to accurately predict whether a wound will heal naturally or require surgical intervention (such as skin grafting) during the initial assessment.
1. Burn Indications: The DeepView™ system is utilized to differentiate between "healing" and "non-healing" tissue in burn patients. Current clinical accuracy for burn assessment by experienced surgeons is often around 50-70%; Spectral AI’s technology aims to push this accuracy significantly higher by looking beneath the skin's surface.
2. Diabetic Foot Ulcers (DFU): This segment targets the chronic wound market. The AI predicts the healing potential of DFUs, allowing for earlier intervention and specialized treatment, which can prevent complications such as amputations.
3. Handheld Devices (DeepView Snapshot®): Spectral AI has developed a portable, handheld version of its MSI device. This expands the use case from major hospitals to emergency rooms, clinics, and potentially military field use.
Business Model Characteristics
Hardware-Enabled Software-as-a-Service (SaaS): While the company provides specialized imaging hardware, the core value and recurring revenue potential lie in the proprietary AI algorithms and data analytics.
Clinical Integration: The model relies on obtaining regulatory clearances (FDA, CE Mark) to integrate into the standard of care at burn centers and wound clinics globally.
Government-Backed Funding: A significant portion of the company’s R&D has been non-dilutive, funded by federal contracts, reducing the initial capital risk for shareholders.
Core Competitive Moat
Proprietary Data Library: Spectral AI possesses a massive, proprietary database of over 270 million data points from diverse clinical studies, which is used to train its AI. This "clinical truth" dataset is difficult for competitors to replicate.
First-Mover Advantage: DeepView is one of the first AI-driven MSI platforms to receive Breakthrough Device Designation from the FDA for both burn and DFU indications.
Intellectual Property: The company holds a robust portfolio of patents covering its multispectral hardware configurations and the specific neural networks used for tissue classification.
Latest Strategic Layout
In 2024 and 2025, Spectral AI pivoted toward the commercialization phase. Key strategies include:
1. US Commercial Expansion: Partnering with major healthcare distributors to deploy the DeepView system across U.S. burn centers following recent clinical successes.
2. Military Partnerships: Strengthening ties with BARDA (Biomedical Advanced Research and Development Authority). In late 2023 and early 2024, the company received multi-million dollar contract extensions to finalize the development of the handheld version for battlefield and mass casualty use.
3. Global Regulatory Roadmap: Actively seeking UK CA and CE Mark certifications to enter the European and British markets.
Spectral AI, Inc. Development History
Spectral AI’s journey is characterized by a long-term commitment to research followed by a strategic transition to the public markets to fund commercial scale.
Development Phases
Phase 1: Research and Foundation (2011 - 2017)
Founded in Dallas, Texas, the company spent its early years in stealth mode, focusing on the intersection of optics and medicine. The team focused on perfecting Multispectral Imaging (MSI) to capture "invisible" data from tissue layers.
Phase 2: Validation and Government Support (2018 - 2022)
The company secured significant funding from BARDA, part of the U.S. Department of Health and Human Services. This partnership validated the technology's potential for national security and emergency preparedness. During this time, the DeepView system received FDA Breakthrough Device Designation.
Phase 3: Public Listing and Commercialization (2023 - Present)
In September 2023, Spectral AI went public on the Nasdaq via a business combination with Rosecliff Acquisition Corp I (a SPAC). Since the listing, the company has focused on clinical trial completions (such as its 2024 pivotal burn study) and preparing for full-scale commercial production of its Snapshot device.
Analysis of Success and Challenges
Success Factors: The company’s success is largely attributed to its non-dilutive funding strategy. By securing over $160 million in BARDA support over the years, they minimized the need for early-stage venture capital. Furthermore, their focus on a specific, high-cost clinical problem (burns and ulcers) ensured a clear path to reimbursement.
Challenges: As a micro-cap public company, Spectral AI has faced market volatility. The transition from a research-focused entity to a commercial sales organization requires significant infrastructure and a shift in corporate culture, which remains an ongoing execution risk.
Industry Overview
The medical AI and wound care industries are converging as healthcare providers seek to reduce the "trial and error" approach to chronic wound management.
Market Trends and Catalysts
Aging Population: The rising prevalence of diabetes and age-related vascular diseases is driving a surge in chronic wounds, particularly DFUs.
Cost Reduction Pressures: Healthcare systems are shifting toward value-based care. Technologies that prevent unnecessary surgeries or speed up recovery are highly prioritized by insurers and hospitals.
AI in Diagnostics: The FDA has accelerated the approval process for AI-enabled software as a medical device (SaMD), creating a clearer regulatory pathway for companies like Spectral AI.
Competitive Landscape
| Competitor Category | Key Players / Technologies | Spectral AI’s Position |
|---|---|---|
| Traditional Diagnostics | Visual Assessment, Biopsy, Laser Doppler | DeepView provides higher accuracy and is non-invasive compared to biopsies. |
| Digital Wound Imaging | NetHealth, Swift Medical | Focus on wound measurement/tracking; Spectral AI focuses on predicting healing. |
| AI Medical Imaging | Butterfly Network, Viz.ai | Spectral AI dominates the specific niche of MSI for burn and DFU healing prediction. |
Industry Status and Role
Spectral AI is currently a disruptive specialist. While larger medical device conglomerates (like 3M or Smith & Nephew) dominate wound dressings, Spectral AI is positioning itself as the "intelligence layer" that guides which dressings or surgeries are used.
According to data from 2023-2024, the global wound care market is valued at approximately $20 billion, with the AI-driven segment expected to grow at a CAGR of over 15% through 2030. Spectral AI’s niche—predictive MSI—is a high-margin sub-sector within this market, making the company a potential acquisition target for larger med-tech firms looking to digitize their portfolios.
Sources: Spectral AI, Inc. earnings data, NASDAQ, and TradingView
Spectral AI, Inc. Financial Health Score
The following table assesses Spectral AI's financial health based on its fiscal year 2025 results and current liquidity position.
| Metric Category | Key Data (FY 2025 / Q4 2025) | Score (40-100) | Rating |
|---|---|---|---|
| Liquidity & Cash Flow | Cash increased 196% YoY to $15.4M; Debt at $8.5M. | 85 | ⭐⭐⭐⭐ |
| Profitability | Swung to $0.6M net income in Q4 2025; FY loss narrowed to $7.6M. | 65 | ⭐⭐⭐ |
| Revenue Growth | FY R&D Revenue $19.7M (down 33% YoY due to contract cycles). | 50 | ⭐⭐ |
| Operational Efficiency | G&A expenses declined 11.1% to $17.5M; Gross margin stable at 45.4%. | 75 | ⭐⭐⭐⭐ |
| Overall Health | Consensus weighted score | 69 | ⭐⭐⭐ |
Data Source: SEC Filings and Q4 2025 Earnings Call (March 24, 2026).
Spectral AI, Inc. Development Potential
FDA De Novo Submission & Commercialization Roadmap
In June 2025, Spectral AI submitted its De Novo 510(k) application for the DeepView® System (Burn indication). As of March 2026, the company has responded to the FDA's "Additional Information" requests. Management expects a final regulatory decision before the end of Q2 2026. This milestone is the primary catalyst for transitioning from a research-funded entity to a commercial medical device provider.
Government-Backed Expansion (BARDA & MTEC)
The company maintains a high-value relationship with BARDA under a Project BioShield contract valued at up to $150 million. In March 2026, BARDA awarded an additional $31.7 million in advanced funding to accelerate the development of handheld device features. This non-dilutive capital significantly de-risks the development of the "DeepView SnapShot M" (handheld version), with a functional prototype expected by late 2026.
Market Expansion & New Business Catalysts
Beyond the U.S. market, Spectral AI achieved UKCA authorization in late 2024 and is targeting expanded international authorizations by late 2026. The spin-off of its IP subsidiary (SIM IP) in 2024-2025 has also streamlined the company's focus on its core AI diagnostic platform, potentially making it an attractive target for larger medical technology acquirers once commercial traction is proven.
Spectral AI, Inc. Company Benefits and Risks
Company Benefits (Upside Potential)
- High Diagnostic Accuracy: Clinical validation studies show the DeepView system provides 86.6% accuracy in burn assessment compared to roughly 40.8% for traditional clinical judgment alone.
- Strong Cash Position: With $15.4M in cash and access to further non-dilutive BARDA funding, the company has a sufficient runway to reach its 2026 commercial launch goals.
- Analyst Optimism: Top-tier research firms like BTIG and H.C. Wainwright maintain "Buy" ratings with price targets averaging $3.00, representing significant upside from current levels.
Company Risks (Downside Factors)
- Regulatory Uncertainty: Any delay or rejection from the FDA regarding the De Novo application would severely impact the 2026 commercialization timeline and stock valuation.
- Revenue Concentration: The company is currently heavily dependent on government contracts (BARDA). A shift in federal funding priorities or administrative shutdowns could disrupt revenue streams.
- Market Adoption Hurdles: Even with FDA clearance, the company faces the challenge of integrating a new AI-driven diagnostic workflow into traditional hospital systems and securing widespread insurance reimbursement.
How do Analysts View Spectral AI, Inc. and MDAI Stock?
As of early 2024 and moving into the mid-year peak, analyst sentiment toward Spectral AI, Inc. (MDAI) reflects a "high-conviction, high-growth" outlook centered on the company’s transition from a research-heavy entity to a commercial-stage medical AI leader.
With the recent progress of its DeepView™ System, Wall Street is focusing on the company's ability to disrupt the traditional wound care market. Below is a detailed analysis of the prevailing analyst consensus:
1. Institutional Perspectives on Core Business Value
Validation of AI Precision: Analysts from firms such as B. Riley Securities and BTIG have highlighted that Spectral AI’s core strength lies in its proprietary database of clinical images. Unlike general AI, DeepView is recognized for its "Binary Prediction" capability—accurately distinguishing between healing and non-healing tissue. Analysts believe this provides a significant competitive moat in burn and diabetic foot ulcer (DFU) treatment.
Transition to Commercialization: A major point of optimism is the company's shift toward revenue generation. Following the UK CA Mark and EC Certificate achievements in late 2023 and early 2024, analysts see the European and UK markets as immediate catalysts. The 2024 rollout of the DeepView Snapshot® M is viewed as a pivotal "proof-of-concept" for its commercial scale.
Strong Government Backing: Analysts frequently cite the company's non-dilutive funding from BARDA (Biomedical Advanced Research and Development Authority). With contracts valued at over $160 million, institutions view this as a massive de-risking factor, providing the company with a "cash runway" that many micro-cap biotech firms lack.
2. Stock Ratings and Price Targets
Market consensus for MDAI currently leans toward a "Buy" or "Speculative Buy":
Rating Distribution: Among the boutique and mid-tier investment banks covering the stock, the consensus is 100% "Buy." There are currently no "Hold" or "Sell" ratings from major tracking analysts.
Price Target Forecasts:
Average Target Price: Analysts have set price targets ranging from $4.00 to $8.00. Given that the stock has traded in the $1.50 - $2.50 range recently, this represents a potential upside of 100% to 300%.
Optimistic View: B. Riley Securities has previously maintained a bullish stance, suggesting that as clinical trial data for the DFU application is released in 2024, the stock could see a significant re-rating toward the higher end of its valuation.
3. Key Risk Factors (The Bear Case)
Despite the technological optimism, analysts caution investors on several fronts:
FDA Clearance Timeline: The primary risk identified is the regulatory path in the United States. While the UK and EU have granted approvals, any delay in FDA De Novo or 510(k) clearances would significantly impact the company’s 2025 revenue projections.
Adoption Inertia: Analysts note that the medical community can be slow to adopt new diagnostic tools. Convincing hospitals to move away from "clinical judgment" to "AI-assisted diagnosis" requires a robust sales force and extensive evidence of cost-saving for insurers.
Market Liquidity: As a relatively new de-SPAC company, MDAI experiences high volatility and lower trading volume. Analysts warn that the stock is susceptible to sharp price swings based on micro-news cycles.
Conclusion
The Wall Street consensus on Spectral AI is that it is a "hidden gem" in the MedTech AI sector. Analysts believe the company is currently undervalued relative to its intellectual property and government contract value. If Spectral AI successfully converts its clinical pilots into recurring hospital contracts through 2024, it is positioned to be a leader in the multi-billion dollar wound care diagnostics market.
Spectral AI, Inc. (MDAI) Frequently Asked Questions
What are the key investment highlights for Spectral AI, Inc. (MDAI), and who are its main competitors?
Spectral AI, Inc. is a predictive AI company focused on medical diagnostics, specifically for wound care. Its flagship DeepView™ System uses AI and multispectral imaging to provide immediate, objective wound healing predictions.
Investment Highlights:
1. FDA and CE Mark Progress: The company is actively pursuing regulatory clearances for its burn and diabetic foot ulcer (DFU) applications.
2. BARDA Support: Spectral AI has significant backing from the Biomedical Advanced Research and Development Authority (BARDA), which has provided over $250 million in cumulative funding to support the development of DeepView™.
3. High Unmet Need: The diagnostic accuracy for burn wounds by clinicians is often cited at around 50-70%, whereas DeepView™ aims for significantly higher precision.
Competitors: Main competitors include traditional diagnostic methods and companies like MIM Software, HyperMed Imaging, and Individualland, though Spectral AI differentiates itself through its proprietary AI-driven multispectral technology.
Is Spectral AI’s latest financial data healthy? What are the revenue, net income, and debt levels?
Based on the financial reports for the third quarter of 2024:
Revenue: For Q3 2024, Spectral AI reported revenue of $8.2 million, primarily driven by R&D revenue from government contracts (BARDA). This represented a substantial increase compared to $6.3 million in the same period in 2023.
Net Income/Loss: The company reported a net loss of $3.2 million for Q3 2024, which is an improvement from the $4.5 million loss in Q3 2023, reflecting narrowed losses as the company scales.
Balance Sheet: As of September 30, 2024, the company held $4.9 million in cash. The company maintains a relatively low-debt profile compared to its R&D scale, though it relies heavily on government funding and equity financing to sustain operations.
Is the current MDAI stock valuation high? How do its P/E and P/S ratios compare to the industry?
As a growth-stage medical technology company that is not yet consistently profitable, traditional Price-to-Earnings (P/E) ratios are not applicable (N/A).
The Price-to-Sales (P/S) ratio is the primary metric used by investors. As of late 2024, MDAI’s P/S ratio fluctuates based on its contract-heavy revenue model. Compared to the broader Healthcare Information Services or Medical Devices industries, MDAI’s valuation reflects a "speculative growth" premium. Investors are pricing the stock based on the potential for FDA clearance rather than current earnings. Its market capitalization remains in the micro-cap range, making it highly volatile compared to established industry peers.
How has the MDAI stock price performed over the past three months and year? Has it outperformed its peers?
Over the past year, MDAI has experienced significant volatility, common for SPAC-originated companies and clinical-stage AI firms.
Past 3 Months: The stock has seen fluctuations driven by clinical trial updates and the announcement of its 2024/2025 roadmap.
Past Year: The stock has generally underperformed the S&P 500 and the NASDAQ Biotechnology Index, as high-interest rates and a "risk-off" sentiment affected micro-cap AI stocks. However, specific spikes have occurred following positive updates regarding its DeepView™ DFU clinical studies and UK expansion.
Are there any recent favorable or unfavorable news items in the industry affecting Spectral AI?
Favorable News:
1. AI Integration in Healthcare: Increased CMS (Centers for Medicare & Medicaid Services) support for AI-driven diagnostics is a major tailwind.
2. UK Expansion: Spectral AI recently announced the deployment of its technology in several NHS sites in the UK for clinical evaluation.
Unfavorable News:
1. Regulatory Timelines: Any delays in FDA "De Novo" classification or 510(k) clearances are viewed negatively by the market.
2. Funding Dependency: Heavy reliance on government contracts (BARDA) means that any shift in federal budget priorities could pose a risk to the company's R&D pipeline.
Have any major institutions recently bought or sold MDAI stock?
Institutional ownership of Spectral AI remains relatively low but is evolving. According to recent 13F filings:
1. Institutional Activity: Several boutique healthcare funds and small-cap managers hold positions.
2. Insider Buying: There has been notable insider buying activity by top executives and board members in 2024, which is often interpreted by the market as a sign of confidence in the upcoming regulatory milestones.
3. Public Float: A large portion of the shares remains held by early investors and insiders, which can lead to lower liquidity and higher price volatility during high-volume trading sessions.
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