A software development specialist leveraging proprietary AI algorithms to provide high-value consulting and platform solutions for enterprise clients seeking digital transformation.
Investors may view Spectral AI as a turnaround candidate with a clear revenue growth trajectory and narrowing losses that could signal an inflection point toward profitability. The company's focus on high-value AI consulting positions it well for capturing the surging enterprise demand for generative AI integration services. If management can successfully scale its proprietary software solutions to improve margins, the current market valuation may offer significant upside potential.
The stock carries substantial risk due to a negative shareholders' equity of -$7.3M and a retained earnings deficit that has not yet been addressed through profitable operations. Consistent cash burn from operations of over $9M indicates the business model may not be self-sustaining without continuous capital raises or dilution. The lack of positive free cash flow and reliance on financing activities make the company vulnerable to tightening credit conditions or investor sentiment shifts.
Spectral AI, Inc. operates as a software development and consulting firm serving clients across diverse industries with specialized artificial intelligence and data analytics solutions. The company leverages its technical expertise to deliver custom platforms that help organizations optimize operations through advanced machine learning models. With recent revenue growth driven by expanding client contracts, the firm aims to solidify its position in the competitive enterprise AI market.
While revenue increased from $18.1M to $29.6M year-over-year, the company continues to report substantial net losses, narrowing slightly from -$20.9M in 2023 to -$15.3M in 2024. Operating expenses of $19.9M significantly exceeded gross profit of $13.3M, resulting in an operating loss of $6.6M and a cash burn from operations of $9.2M. The company mitigated some cash outflow through $4.1M in common share issuances, though the negative retained earnings deficit of $48.1M suggests ongoing financial pressure.
The enterprise artificial intelligence sector is experiencing rapid expansion as organizations seek to automate complex workflows and gain predictive insights from vast data sets. Competitive pressure is intensifying with major tech giants launching their own AI tools, yet specialized consultancies like Spectral AI remain vital for custom implementation and domain-specific adaptation. Market leaders are prioritizing those who can demonstrate both technical innovation and the ability to deliver tangible ROI within short deployment timelines.
| Metric | 2022 | 2023 | 2024 |
|---|---|---|---|
| Revenue | $0 | $18.1M | $29.6M |
| Cost of Revenue | $0 | $10.2M | $16.3M |
| Gross Profit | $0 | $7.9M | $13.3M |
| Operating Expenses | $1.3M | $20.9M | $19.9M |
| Operating Income | $-1.3M | $-13.0M | $-6.6M |
| R&D | — | $15.1M | — |
| G&A | $1.3M | $20.9M | $19.9M |
| Stock-Based Comp | — | $1.2M | $1.0M |
| Depreciation | — | $9.0K | $10.0K |
| Other OpEx | $0 | $-16.4M | $0 |
| Non-Operating Income | $12.9M | $-7.9M | $-8.5M |
| Interest Income | $3.2M | — | $14.0K |
| Pre-Tax Income | $11.7M | $-20.8M | $-15.0M |
| Income Tax | $614.3K | $11.0K | $271.0K |
| Continuing Ops | $11.0M | $-20.9M | $-15.3M |
| Discontinued Ops | $0 | $0 | $0 |
| Net Income | $11.0M | $-20.9M | $-15.3M |
| Minority Interest | $0 | $0 | $0 |
| Net to Common | $11.0M | $-20.9M | $-15.3M |
| Metric | 2022 | 2023 | 2024 |
|---|---|---|---|
| Current Assets | $938.6K | $9.9M | $10.1M |
| Cash & Equivalents | $785.0K | $4.8M | $5.2M |
| Accounts Receivable | — | $2.3M | $2.5M |
| Inventory | — | $230.0K | $425.0K |
| Other Current Assets | $153.6K | $2.5M | $2.0M |
| Long-Term Assets | $4.6M | $790.0K | $2.0M |
| PP&E (Net) | — | $12.0K | $2.0K |
| Operating Leases | — | $778.0K | $2.0M |
| Other LT Assets | — | $0 | $0 |
| Total Assets | $5.6M | $10.7M | $12.1M |
| Current Liabilities | $3.6M | $12.4M | $17.6M |
| Accounts Payable | — | $2.7M | $4.0M |
| Current Leases | — | $853.0K | $201.0K |
| Deferred Revenue | — | — | $960.0K |
| Taxes Payable | $255.3K | $107.0K | $188.0K |
| Other Current Liab | $16.2K | $4.5M | $9.1M |
| Long-Term Liabilities | $9.2M | $0 | $1.7M |
| LT Operating Leases | — | — | $1.7M |
| Other LT Liab | — | — | $0 |
| Total Liabilities | $12.9M | $12.4M | $19.3M |
| Shareholders' Equity | $-7.3M | $-1.7M | $-7.3M |
| Paid-In Capital | $0 | $31.1M | $40.8M |
| Retained Earnings | $-12.1M | $-32.8M | $-48.1M |
| AOCI | — | $12.0K | $3.0K |
| Total L&E | $5.6M | $10.7M | $12.1M |
| Metric | 2022 | 2023 | 2024 |
|---|---|---|---|
| Net Income (CFO) | $11.0M | $-20.9M | $-15.3M |
| Non-Cash Adjustments | $-12.6M | $4.5M | $7.7M |
| Working Capital Changes | $539.2K | $3.1M | $-1.6M |
| Cash from Operations | $-1.0M | $-13.2M | $-9.2M |
| Cash from Investing | $251.6M | $0 | $0 |
| Share Buybacks | $250.5M | — | — |
| Cash from Financing | $-250.5M | $3.8M | $9.6M |
| FX Effect | $0 | $12.0K | $-9.0K |
| Net Change in Cash | $15.6K | $-9.4M | $367.0K |
| Beginning Cash | $769.4K | $14.2M | $4.8M |
| Ending Cash | $785.0K | $4.8M | $5.2M |
Custom software development services, artificial intelligence model training and deployment, data analytics consulting, and strategic technology advisory for large-scale enterprise implementations.
Significant operating losses and an accumulated retained earnings deficit indicating sustained profitability challenges despite recent revenue growth. High customer concentration risk inherent to small-cap software firms relying on specific enterprise contracts. Rapid technological obsolescence risks as AI methodologies evolve faster than the company's current development cycles. Liquidity concerns given current liabilities exceeding total assets and reliance on equity issuances for cash flow support.
Proprietary machine learning frameworks that reduce client implementation time, a niche portfolio of repeatable high-margin consulting contracts, and a highly specialized team of data scientists with deep domain expertise in complex industries.
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