LDV Capital

Eniac Ventures is an early-stage investment firm headquartered in NYC. Since our formation in 2009, we’ve been committed to backing highly technical founders who embody our values of authenticity, boldness, curiosity, and scrappiness. At Eniac, we believe that providing capital is just the beginning of the VC/founder journey and pride ourselves on the deep relationships we build with our founders.

We are in the midst of technological shifts at a pace faster than ever before. Calculus VC capitalizes on these shifts to deliver returns and impact. We invest in the Series A and Series B stages of startups in the below sectors: FUTURE OF COMPUTING AND AI Continued advancements in AI will demand new developments in hardware and software. New computing materials and interfaces may emerge. Computing power may be more distributed, and the world will be infinitely more connected. These and more, are our areas of interest: Intelligence beyond language: We expect AI to understand quantitative models and physical phenomenon just as well as it understands language. Large Quantitiative Models are a focus for us. New hardware, materials, and architectures: We expect that demand for computing power will grow exponentially. Quantum computing, as well as distributed computing are expected to grow. We expect advancements in computing materials beyond silicon. Immersive and neural interfaces: These interfaces already exist, we expect they will become more mainstream. Spatial computing, integrating the physical world with digital environments may be our future. COMPUTATIONAL LIFE SCIENCES AND HEALTHTECH Breakthroughs in biology, materials, sensors, and data science are converging to redefine healthcare. Precision and personalization will take center stage as AI enhances how we detect, monitor, and treat disease. Areas of interest include: AI-First Therapeutics and Discovery Platforms: ML-powered platforms designing drugs and biologics via simulation, predictive modeling, and data-rich experimentation. Infrastructure for Programmable Biology: Tools that make biology engineerable – lab automation, bioinformatics, 3D bioprinting, next-gen diagnostics and R&D devices. Continuous, Data-Driven and Personalized Care: Wearables, medical devices, and diagnostics to deliver patient-centric care. These models turn users into real-time data streams, enabling adaptive treatment and personalized interventions. ADVANCED INDUSTRIAL TECHNOLOGIES As we expand the frontiers of possibility, we expect industry to evolve with intelligence, autonomy and environmental sustainability at its core. Areas of focus include: AI and automation in industry: Intelligent machines will optimize production, reduce waste, and enable new workflows. From predictive maintenance to robotic manufacturing, automation will power the next industrial revolution. We support startups enabling this vision. Land, ocean, and space transport and communications: We are interested in advanced materials, robotics, sensors, systems and software that will unlock new frontiers from deep-sea mapping to planetary missions. Resource efficiency: Building the future will demand large reserves of energy and natural resources. Technologies that can serve our energy, food, water, and agricultural needs while supporting a better planet are of interest to us.

We specialize in leading Seed and Series A rounds collaborating with angel investors, other venture capital firms and strategic partners. We are active investors and board members – operating as an extension of the entrepreneurs’ network. We invest in the best teams, solving the biggest problems in technology hot spots around the world. Our typical initial investments range from $500,000 to $5 million with additional amounts reserved for follow-on funding. We take pride in our ability to forge and sustain great partnerships with visionary entrepreneurs. Being a strong partner means more than providing capital. It’s doing everything we can to support our portfolio companies. From recruiting, business development, marketing and operations, we provide resources and bench strength to help entrepreneurs. Guiding Principle Our logo is inspired by history, an interpretation of a compass and Leonardo da Vinci’s “Flying Sphere.” It symbolizes our support of entrepreneurs through the ups and downs of their start-up stages, and graphically reminds us of the spirit of innovation, which continues into the future. The Leonardo da Vinci symbol is a drawing of a flying machine – the man in the center sphere remains upright no matter what direction the wind blows. So too with our entrepreneurs…carpe diem. Fueling Innovation It takes passion and teamwork to build a company, help it grow and drive it to the top. We take pride in our ability to forge and sustain great partnerships with visionary entrepreneurs. Being a strong partner means more than providing capital. It’s doing everything we can to support our portfolio companies. From recruiting, business development, marketing and operations, we provide resources and bench strength to help entrepreneurs. CIO Council Exclusive access to an invitation-only council of CIOs that connects members and portfolio company entrepreneurs to provide introductions, forge meaningful partnerships and engage in thoughtful conversations about business and technology trends. The Council meets regularly in San Francisco and New York.

Enkadon Capital is an emerging global venture capital firm with a bold vision to back the next generation of deep tech and AI-driven innovation. Focused on Seed to Series A investments, we specialise in technology areas.

QuantumLight is an investment firm built as a technology company by a team of tech unicorn founders, quant traders, AI scientists and engineers. We are using technology to disrupt the world of venture and growth equity. The industry is still stuck in the 20th century, operating in a completely different way from the technology companies it tries to support. Leveraging our experience building a hyper-growing unicorn and a background in quantitative trading, we are building the investment firm of tomorrow. A firm with a product DNA and a heavily data-driven investment strategy. We have already built and tested a first version of our proprietary data platform and decision engine, and we are currently in stealth mode, focusing on strengthening our team of elite professionals before public launch.

Traditional venture models that rely on heuristics are prone to errors for several reasons: Biases: Heuristics are mental shortcuts that can sometimes be prone to biases, such as confirmation bias, where investors seek information that confirms their existing beliefs or opinions, and overconfidence bias, where investors may overestimate their ability to predict future outcomes. Limited data: Heuristics are often based on a limited set of data, which can lead to errors in decision-making. For example, if an investor relies solely on personal experience or anecdotal evidence, they may miss important trends or patterns in the market. Lack of diversity: Heuristics can also lead to a lack of diversity in investment decisions. If an investor relies on a narrow set of criteria or a "gut feeling" to make decisions, they may miss out on opportunities that don't fit within their established framework. Changing markets: Heuristics may not be adaptive to changing market conditions, which can result in missed opportunities or poor investment decisions. In a rapidly changing and unpredictable market, relying on heuristics can be especially risky. Human error: Finally, heuristics can be prone to errors due to human limitations, such as cognitive overload or decision fatigue, which can impair judgement and lead to poor investment decisions. IMPROVING VENTURE CAPITAL USING DECISION THEORY AND ARTIFICIAL INTELLIGENCE Using decision theory and AI to make venture investments can be better than relying on heuristics because they can provide a more systematic and rigorous approach to decision-making. Heuristics are mental shortcuts that can sometimes be useful for making quick decisions, but they can also be prone to biases and errors. For example, an investor might rely on a heuristic like "invest in what you know" to make decisions, which can lead to a narrow focus and missed opportunities. On the other hand, decision theory and AI can help investors make more informed and data-driven decisions by taking into account a broader range of factors, including market trends, historical data, and other relevant information. By using algorithms and statistical models, these methods can help identify patterns and make predictions that would be difficult for a human to do on their own. Furthermore, decision theory and AI can help mitigate the impact of cognitive biases that can affect human decision-making. By relying on objective and empirical data rather than subjective opinions and hunches, these methods can help reduce the influence of biases such as overconfidence, confirmation bias, and anchoring bias. Overall, while heuristics can be useful in some situations, decision theory and AI provide a more rigorous and systematic approach to investment decision-making that can lead to better outcomes. VENTURE INVESTING USING DECISION THEORY AND AI:Improved Decision-making: Principles of decision theory coupled with AI capabilities can help investors make better investment decisions by analyzing market trends, customer behavior, and other factors. By identifying patterns and predicting future outcomes, AI can provide insights that can inform investment strategies and improve performance. Increased Efficiency: Computational models can automate many of the time-consuming tasks associated with venture investing, such as data collection and analysis. This can free up time for investors to focus on higher-level tasks, such as strategy development and relationship-building. Enhanced Risk Management: Decision theory and AI can help investors identify and mitigate risk by analyzing market data, financial statements, and other factors. This can help investors make more informed decisions and avoid costly mistakes. Improved Portfolio Management: Increased computing power can help investors manage their portfolios more effectively by providing real-time updates on performance, identifying areas for improvement, and suggesting changes to the portfolio based on market trends. Access to New Investment Opportunities: Screening models can help investors identify new investment opportunities that they may have otherwise overlooked. By analyzing large amounts of data, AI can identify emerging trends and new markets that may be ripe for investment.