Biostate AI
About this raise
Biostate AI is raising funds on Wefunder. The company has developed a platform that uses AI to predict individual health changes. Biostate AI has analyzed over 8,000 biological and clinical samples with proprietary RNAseq and AI technologies to be able to predict diseases before they emerge and tailor treatments to individuals’ unique genetic makeup. The company has a portfolio of twelve pending patents and clinical collaborations with top hospitals, including Harvard Med School, Cornell, and MD Anderson. Dave Zhang and Ashwin Gopinath founded Biostate AI in June 2023. The current crowdfunding campaign has a minimum target of $25,000 and a maximum target of $50,000. The campaign proceeds will be used for payroll, sample acquisition, lab operations, R&D, rent, travel, and marketing.
Investment Overview
Committed $60,061 :
Deal Terms
Company & Team
Company
- Year Founded
- 2023
- Industry
- Healthcare & Pharmaceuticals
- Tech Sector
- Distribution Model
- B2B2C
- Margin
- Medium
- Capital Intensity
- High
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Synopsis
Biostate AI is a healthcare company focused on leveraging artificial intelligence to predict individual health changes. The company's platform analyzes biological and clinical samples using proprietary RNA sequencing and AI technologies. This enables the prediction of diseases before they emerge and the customization of treatments to an individual's unique genetic profile. Biostate AI collaborates with leading hospitals such as Harvard Medical School, Cornell, and MD Anderson to enhance its research and development efforts.
The primary customers of Biostate AI are healthcare providers and institutions that seek to improve diagnostic accuracy and patient care through advanced AI-driven insights. The company's B2B2C distribution model targets hospitals and clinics that can integrate Biostate AI's platform into their diagnostic and treatment processes.
The problem Biostate AI addresses is the challenge of accurately predicting and diagnosing diseases before they manifest. Traditional diagnostic methods often rely on symptomatic presentation, which can lead to late-stage detection and less effective treatment options. Misdiagnosis and delayed intervention can significantly impact patient outcomes and increase healthcare costs.
Biostate AI's solution involves the use of AI and genomics to anticipate health changes at an early stage. By analyzing over 8,000 biological and clinical samples, the company aims to provide healthcare providers with tools to predict diseases and tailor treatments based on genetic information. This approach seeks to enhance the precision of diagnostics and treatment plans, potentially improving patient outcomes and reducing healthcare costs.
In everyday scenarios, individuals often experience health issues that are not immediately apparent or are misdiagnosed due to the limitations of traditional testing methods. For example, a person may visit multiple specialists and undergo numerous tests before receiving a definitive diagnosis. Biostate AI's platform aims to streamline this process by offering predictive insights that can guide healthcare providers in making more informed decisions earlier in the diagnostic journey.
Price
Biostate AI is offering a Simple Agreement for Future Equity (SAFE) in its current funding round. The SAFE includes a 15% discount, although it does not specify a valuation cap. This type of security allows investors to receive equity in the company at a future date, typically during a priced round, at a discount to the valuation at that time.
The absence of a valuation cap in the SAFE terms means that investors do not have a predefined ceiling on the company's valuation at which they will convert their investment into equity. This can be advantageous for the company, as it provides flexibility in future pricing rounds. However, it may pose a risk for investors, as they lack a cap to protect against high valuations that could dilute their potential equity stake.
For investors seeking significant returns, the exit potential is a critical consideration. To achieve a 10X return, Biostate AI would need to reach a valuation significantly higher than its current implied valuation at the time of exit. This would require substantial growth in its operations, customer base, and market penetration. The company's ability to secure strategic partnerships and expand its technological capabilities will be key factors in driving this growth.
Startups in the AI-driven healthcare diagnostics sector often face high revenue multiples, which can indicate a perception of overvaluation. However, these multiples also reflect the high growth potential and market demand for innovative healthcare solutions. For Biostate AI to meet investor expectations for a 10X return, it would need to demonstrate a strong trajectory of revenue growth and market expansion, aligning with the rapid advancements in AI and genomics.
Market
The U.S. Artificial Intelligence in Diagnostics market is estimated to be worth $790 million and is growing at a rate of 20.84% annually. This growth is driven by advancements in digital biomarkers and the increasing adoption of AI tools that enhance diagnostic accuracy, speed, and efficiency. The integration of AI in diagnostics supports medical professionals in making informed decisions, minimizing errors, and personalizing patient care.
Key market drivers include the rising prevalence of chronic and non-communicable diseases, which necessitates advanced diagnostic solutions. The influx of big data and cross-industry partnerships contributes to the development and implementation of AI-driven diagnostics. Government initiatives promoting AI in healthcare further bolster market expansion.
Biostate AI targets a segment within this market that focuses on predictive diagnostics and personalized medicine. The company's platform, which leverages AI and genomics, is well-aligned with trends towards personalized healthcare solutions. This alignment positions Biostate AI to capitalize on the growing demand for tailored diagnostic and treatment options.
However, the market also presents challenges. Reluctance among medical practitioners to adopt AI-based technologies, an inadequate AI workforce, and ambiguous regulatory guidelines for medical software could impede growth. Biostate AI must navigate these challenges by demonstrating the efficacy and reliability of its solutions to gain acceptance in the broader healthcare community.
Team
Biostate AI's leadership team comprises experienced professionals with strong backgrounds in bioengineering, AI, and healthcare innovation. The team is led by Co-Founder and CEO Dave Zhang, who previously co-founded Nuprobe, where he successfully raised $110 million in venture funding. His experience in bioengineering and leadership roles provides a solid foundation for guiding Biostate AI's strategic direction.
Co-Founder and CTO Ashwin Gopinath brings expertise from his tenure as a professor of Mechanical Engineering at MIT and his role as co-founder of Palamedrix, which was acquired for over $50 million. His technical acumen and experience in AI and engineering are critical to developing and refining Biostate AI's platform.
Paul Rothemund, VP of Research, has a distinguished background as a former professor at Caltech and co-founder of Palamedrix. His research expertise and contributions to computational and neural systems are instrumental in advancing Biostate AI's AI-driven diagnostic technologies.
Eva Miao, Head of Operations, has extensive experience in financial management, having served as CFO of Torus Biosystems and VP of Finance at Proven Skincare. Her skills in operations and finance are vital for ensuring Biostate AI's operational efficiency and financial health.
The team is further strengthened by Timothy Kassis, Head of AI, who previously led AI initiatives at Matterworks and served as a Lead Instructor at MIT. His proficiency in AI development aligns with Biostate AI's objectives of enhancing diagnostic accuracy and personalization.
While the team possesses a robust mix of technical, operational, and financial expertise, the absence of dedicated marketing and sales leadership could be a gap in achieving future growth milestones. Strengthening these areas may be crucial for expanding market reach and accelerating commercialization efforts.
Differentiation
Biostate AI operates in a competitive landscape with several notable players in the AI-driven diagnostics space. Competitors such as Aidoc, Ibex Medical Analytics, and Viz.ai offer comparable AI solutions aimed at improving diagnostic accuracy and efficiency.
Aidoc specializes in AI-powered radiology solutions designed to enhance the workflow of radiologists and expedite the detection of critical conditions. As a more established company, Aidoc has a larger market presence and a broader customer base. Its product offerings are well-integrated into existing radiology practices, providing a comprehensive suite of diagnostic tools.
Ibex Medical Analytics focuses on AI-based cancer diagnostics, particularly in pathology. The company's solutions are designed to improve the accuracy and reliability of cancer detection, offering a high level of product quality. Ibex's pricing is typically aligned with the value provided through enhanced diagnostic capabilities and workflow efficiency.
Viz.ai provides AI solutions for stroke detection and care coordination, emphasizing rapid response times and seamless integration with healthcare systems. Viz.ai's products are priced to reflect the critical nature of stroke diagnostics and the potential for improved patient outcomes.
Biostate AI differentiates itself through its focus on predictive diagnostics and personalized medicine, leveraging proprietary RNA sequencing and AI technologies. The company's portfolio of twelve pending patents underscores its commitment to innovation and intellectual property protection.
The target customer demographics for Biostate AI primarily include healthcare providers, hospitals, and diagnostic laboratories. These customers seek advanced diagnostic tools that can provide predictive insights and enable personalized treatment plans based on genetic information. As the healthcare industry increasingly embraces AI-driven solutions, Biostate AI is positioned to address the needs of medical professionals looking to enhance patient care through precision diagnostics.
Performance
Biostate AI is currently in the pre-product phase, with no reported revenue for the most recent fiscal year. The company has focused its efforts on developing its AI-driven platform and establishing key partnerships with leading hospitals. Despite this focus, the lack of revenue highlights the early stage of commercialization and the need for effective monetization strategies moving forward.
The most recent monthly burn rate for Biostate AI is approximately $312.4k, with cash reserves reported at $2 million. This indicates a runway of just over six months, emphasizing the importance of securing additional funding or generating revenue to sustain operations and support further development.
Biostate AI has analyzed over 8,000 biological and clinical samples, showcasing its capability to handle significant data volumes. The company also holds a portfolio of twelve pending patents, reflecting its commitment to protecting its intellectual property and technological advancements.
While the company has made progress in building strategic collaborations and advancing its technology, the absence of revenue and high burn rate are critical factors that require attention. Successfully transitioning from development to revenue generation will be essential for Biostate AI's long-term sustainability and growth.
Risk
Biostate AI presents several specific risks that potential investors should consider. A notable risk is the uncapped valuation of the SAFE offering. Without a valuation cap, investors face uncertainty regarding the price at which their investment will convert to equity in future funding rounds, potentially leading to dilution if the company's valuation increases significantly.
The company is positioned as an early entrant in the AI-driven healthcare diagnostics market. While this provides opportunities for capturing market share, it also poses adoption risks. The market's reception to AI-based diagnostic solutions is still evolving, and widespread acceptance is not guaranteed.
Another risk factor is the high monthly burn rate of approximately $312.4k. This, coupled with cash reserves of $2 million, implies a relatively short runway. The company needs to secure additional funding or rapidly increase revenue to extend its operational runway and support ongoing development and scaling efforts.
The presence of part-time founders may impact the company's ability to execute strategic goals effectively. Full-time dedication from leadership is often crucial for timely decision-making and addressing operational challenges. Balancing multiple commitments can hinder the company's agility and responsiveness to market changes.
Biostate AI also faces high regulatory hurdles due to its involvement in healthcare diagnostics. Strict compliance with medical regulations is necessary, and any lapses could result in legal challenges or penalties, further complicating the company's growth trajectory.
Bullish Outlook
The bullish outlook for Biostate AI is supported by several key factors that highlight its potential for growth and market success. A significant market opportunity exists within the rapidly expanding AI diagnostics sector, which is valued at $790 million and growing at an annual rate of 20.84%. The increasing demand for personalized medicine and predictive diagnostics aligns well with Biostate AI's capabilities, positioning the company to capitalize on these industry trends.
Biostate AI's competitive advantage lies in its proprietary RNA sequencing and AI technologies, which enable precise health predictions and personalized treatment plans. The company's portfolio of twelve pending patents underscores its commitment to innovation and intellectual property protection, setting it apart from competitors. Additionally, strategic partnerships with top-tier institutions like Harvard Medical School and MD Anderson enhance the company's credibility and provide valuable collaboration opportunities for advancing its platform.
The leadership team, with its strong backgrounds in bioengineering, AI, and healthcare innovation, is a significant asset. The team's expertise in navigating the complexities of AI-driven diagnostics is crucial for executing Biostate AI's strategic goals and driving technological advancements.
Growth drivers for Biostate AI include the ongoing development of its AI platform and plans for market expansion. The company's focus on early disease prediction and personalized healthcare solutions positions it to benefit from emerging trends in precision medicine and AI adoption within healthcare. Biostate AI's efforts to expand its technological capabilities and customer base are key to achieving significant market penetration.
While Biostate AI currently lacks reported revenue, the company's ability to secure strategic partnerships and advance its technology provides a foundation for future financial health. As Biostate AI moves towards commercialization, these developments could translate into positive cash flow and revenue growth, supporting long-term sustainability and investor returns.
Bearish Outlook
The bearish outlook for Biostate AI stems from several critical factors that could impede its growth and market success. One primary concern is the company's high monthly burn rate of approximately $312.4k, coupled with cash reserves of only $2 million. This financial situation indicates a short runway, necessitating urgent additional funding to sustain operations and progress toward commercialization.
Biostate AI faces significant market challenges, particularly the slow adoption of AI-based diagnostic solutions among medical practitioners. The reluctance to integrate new technologies could limit market penetration and slow revenue generation. Additionally, regulatory hurdles in the healthcare sector pose ongoing challenges. Compliance with stringent medical regulations requires substantial resources and time, which could delay product development and market entry.
Competition within the AI diagnostics space is intense, with established players like Aidoc and Ibex Medical Analytics offering proven solutions. Biostate AI's lack of revenue and market traction places it at a disadvantage compared to these competitors, who have already secured customer bases and demonstrated product efficacy.
Concerns about leadership focus also contribute to a bearish perspective. The absence of dedicated marketing and sales leadership could hinder Biostate AI's ability to effectively promote its solutions and expand its customer base. The need for specialized skills in these areas is critical for scaling operations and achieving growth.
The uncapped SAFE offering presents unfavorable investment terms, potentially leading to significant dilution for early investors in future funding rounds. This uncertainty may deter potential investors who are seeking more predictable equity conversion terms.
Overall, Biostate AI's financial constraints, coupled with market and operational challenges, paint a cautious outlook for potential investors. The company must address these issues to enhance its competitive position and achieve sustainable growth.
Executive Summary
Biostate AI is a healthcare company utilizing AI and genomics to predict individual health changes and personalize treatment plans. Its core customers are healthcare providers and institutions seeking to enhance diagnostic accuracy and patient care through advanced AI-driven insights. The company operates in the AI diagnostics market, which is valued at $790 million and growing at an annual rate of 20.84%.
Biostate AI is currently offering a SAFE with a 15% discount and no valuation cap. The absence of a valuation cap presents a risk of potential dilution for investors. The company's financial health shows a high monthly burn rate of approximately $312.4k with cash reserves of $2 million, indicating a short runway. Despite the lack of revenue, Biostate AI has made significant progress in developing its technology and forming strategic partnerships.
The competitive landscape includes players like Aidoc, Ibex Medical Analytics, and Viz.ai. Biostate AI differentiates itself through its focus on predictive diagnostics and personalized medicine, supported by a portfolio of pending patents. Its target demographic includes healthcare providers and institutions looking for advanced diagnostic tools. However, the market presents challenges, including practitioner reluctance to adopt AI technologies and regulatory hurdles.
The leadership team of Biostate AI is composed of experienced professionals with strong backgrounds in bioengineering, AI, and healthcare innovation. Their expertise aligns with the company's goals of advancing AI-driven diagnostics. However, the absence of dedicated marketing and sales leadership could hinder growth and market expansion efforts. Key risks include the uncapped SAFE offering, short runway, and the early stage of market adoption for AI diagnostics.
The bullish outlook for Biostate AI is driven by its alignment with trends in personalized medicine and the growing demand for AI-driven diagnostic solutions. The company's partnerships with leading hospitals and its technological advancements position it well for future growth. On the bearish side, the high burn rate, absence of revenue, and regulatory challenges present significant hurdles. The company's success will depend on its ability to secure additional funding, generate revenue, and navigate the competitive and regulatory landscape.
Overall, Biostate AI presents a mixed investment opportunity. The company has strong technological foundations and is well-positioned in a growing market, but it faces financial and operational challenges that need to be addressed. Potential investors should weigh the growth potential against the inherent risks and consider the company's ability to execute its strategic objectives.
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Company Funding & Growth
Funding history
- Total Prior Capital Raised
- $8,753,000
- VC Backed?
- Yes
Close Date | Platform | Valuation | Total Raised | Security Type | Status | Reg Type |
---|---|---|---|---|---|---|
04/30/2025 | Wefunder | - | $60,061 | SAFE | Active | RegCF |