| Valuation method | Value, $ | Upside, % |
|---|---|---|
| Artificial intelligence (AI) | 35.19 | 5669 |
| Intrinsic value (DCF) | n/a | |
| Graham-Dodd Method | n/a | |
| Graham Formula | n/a |
Bullfrog AI Holdings, Inc. (NASDAQ: BFRG) is an innovative digital biopharmaceutical company leveraging artificial intelligence (AI) and machine learning (ML) to transform drug discovery and healthcare analytics. Based in Gaithersburg, Maryland, Bullfrog AI specializes in its proprietary bfLEAP platform, which analyzes preclinical and clinical datasets to accelerate precision medicine. The company holds strategic licensing agreements with George Washington University for siRNA-based therapies targeting liver diseases and Johns Hopkins University for Mebendazole-based cancer treatments. Operating in the high-growth healthcare AI sector, Bullfrog AI aims to bridge the gap between big data and actionable medical insights, positioning itself as a disruptor in biopharma analytics. With no current revenue but strong intellectual property and academic partnerships, the company targets unmet needs in oncology, metabolic disorders, and rare diseases.
Bullfrog AI presents a high-risk, high-reward opportunity for investors focused on AI-driven biopharma innovation. The company’s lack of revenue and negative EPS (-$0.85) reflect its early-stage R&D focus, while its $5.4M cash position provides limited runway. However, its partnerships with leading institutions and proprietary bfLEAP platform offer potential for breakthroughs in drug repurposing and biomarker discovery. The low beta (0.74) suggests lower volatility than biotech peers, but dependence on preclinical success and future funding needs pose significant risks. Suitable for speculative investors with long-term horizons.
Bullfrog AI competes in the AI-powered drug discovery space by differentiating its bfLEAP platform’s focus on multimodal data integration (genomics, proteomics, clinical records). Unlike broad AI healthcare players, Bullfrog’s niche approach targets specific therapeutic areas (e.g., NASH, HCC) through academic collaborations, reducing direct competition with larger AI platforms. However, its capital constraints ($17.4M market cap) limit scalability compared to deep-pocketed rivals. The company’s competitive edge lies in its exclusive siRNA and Mebendazole licenses, which could yield first-mover advantages in niche indications. Key challenges include demonstrating clinical translatability of AI findings and competing for partnerships against established players like BenevolentAI or Recursion Pharmaceuticals. Its asset-light model mitigates some risk but increases dependency on licensing deals.