Data-driven deal sourcing is revolutionizing the landscape for venture capital, private equity, and angel investing, surpassing traditional methods reliant on personal networks and intuition. #venturecapital #startup #angelinvestor #privateequity #funding
It's fascinating to see the impact of data-driven deal sourcing on investment strategies. How do you think this shift will influence the future of traditional networking and intuition-based approaches in the industry?
Wharton Executive Education | CTO Program and Wharton Executive Education | Digital Transformation for Senior Executives Program guest lecturer Nuno Goncalves Pedro teases us with Mantis and an image created by an illustrator instead of AI. 😁 Investing is a complex task. Chamaeleon is worth attention.
Founder, Managing Partner at Chamaeleon (VC firm; Hiring) || Co-Host, Founder at Tech Deciphered (top 3% podcast, globally)
Can venture funds led by AI outperform traditional VCs? Most VCs decide to back tech companies while barely using any tech themselves. While VCs fund disruption, they themselves are subject to being disrupted as well. As a product manager turned investor, finding smarter ways to invest in early stage tech is one of my top priorities at Chamaeleon. It is why we built Mantis, our in-house platform that leverages AI, ML and our own tech stack not just to save time, but to maximize fund returns by automatically finding the best companies out there. Without sharing too much about Mantis too soon, I can say that: 1 - We automatically scan and score companies on their fit with our thesis, while investing essentially zero manual labor, at the outset. 2 - This allows the deal team to assess an amount of deals that is 28-56 times more than what most tier-1 VC firms assess. 3 - We built due diligence and portfolio management engines, a robust automation infrastructure and portals for *all* our stakeholders. At this point you may be wondering: Q: “VCs often invest through trusted introductions, what’s the point for VCs to proactively reach out, instead?” A: Without disclosing specific numbers here, portfolio picks initially sourced by Mantis are beating industry benchmarks. Dramatically. Q: “Will Mantis replace Chamaeleon’s (human) deal team?” A: No. Mantis is a core augmentation layer, a co-pilot. Humans are at the center and need to be involved throughout the process, in areas where AI and multi-factor analysis can’t help us much, e.g. assessing critical psychological and emotional traits in founders. This is our first time giving you a peek under the Mantis hood. If there’s something about Mantis you’d love to know about, just ask in the comments below. At Chamaeleon we're focused on Seed and Series A companies. If you know impressive founders, we’d love to meet them. #venturecapital #tech #ai
Explore how AI disruption and market overcrowding pose imminent threats to venture capital firms, challenging their future and demanding innovation. #VentureCapital #AI #MarketTrends
At AXIS Capital Markets, we specialize in global debt placement and secondaries for VC and PE-backed companies. The landscape of venture capital decision-making, traditionally reliant on activities such as reviewing pitch decks, conducting face-to-face meetings, and heavily depending on human intuition, faces transformation due to #AI. AI’s speed and precision can process extensive volumes of data, offering firms insights that human analysts might struggle to uncover within a comparable timeframe. As a result, entrepreneurs could potentially witness faster approval of funding. In response to this possibility, VC firms are now exploring the use of AI to enhance their investment processes. For instance, Correlation Ventures and InReach Ventures are utilizing machine learning to assess potential investments through comprehensive data analysis. However, several obstacles lie in the path toward an AI-dominated VC industry, including algorithmic bias, the establishment of trust, shifts in power dynamics within the industry, and concerns about AI's impact on employment. According to a study, a feasibility analysis of AI's role in the decision-making process across eight value chain areas of a venture capital firm—including deal sourcing, deal selection, valuations, deal structure, post-investment value-add, exits, internal and external organization—revealed that AI is best suited to complement human intelligence rather than completely replacing human decision-making. Various potential use cases for automated decision-making with AI tools and techniques in venture capital include: -Building psychological profiles of entrepreneurs/employees - Managing professional networks - Assessing team dynamics - Selecting syndicate partners - Recruiting employees or top management - Portfolio construction - Deal flow and deal sourcing - Identifying new markets - Deal selection - Serving as a reserve planner for portfolio companies, among other possibilities #secondaries #venturecapital #privatecredit #privateequity
2024 is shaping up to be an interesting year for private equity and venture capital, with significant trends influencing the sector: > Artificial Intelligence (AI) steadfastly remains a pivotal factor, driving investments and attention in the market. > We're witnessing a pronounced shift in interest rates, leading to lessened fervor for tech start-ups and impacting valuations at various stages. > Despite the headwinds, copious capital is on hand for strong companies poised to make their mark this year. The details encapsulated in this report provide a deeper understanding of what's in store for venture capital in 2024. There's still considerable opportunity for innovation and growth, especially in areas fueled by AI. https://lnkd.in/gD22ji9q #InvestmentTrends #PrivateEquity #ArtificialIntelligence
2024 is shaping up to be an interesting year for private equity and venture capital, with significant trends influencing the sector: > Artificial Intelligence (AI) steadfastly remains a pivotal factor, driving investments and attention in the market. > We're witnessing a pronounced shift in interest rates, leading to lessened fervor for tech start-ups and impacting valuations at various stages. > Despite the headwinds, copious capital is on hand for strong companies poised to make their mark this year. The details encapsulated in this report provide a deeper understanding of what's in store for venture capital in 2024. There's still considerable opportunity for innovation and growth, especially in areas fueled by AI. https://lnkd.in/geMDwUu9 #InvestmentTrends #PrivateEquity #ArtificialIntelligence
2024 is shaping up to be an interesting year for private equity and venture capital, with significant trends influencing the sector: > Artificial Intelligence (AI) steadfastly remains a pivotal factor, driving investments and attention in the market. > We're witnessing a pronounced shift in interest rates, leading to lessened fervor for tech start-ups and impacting valuations at various stages. > Despite the headwinds, copious capital is on hand for strong companies poised to make their mark this year. The details encapsulated in this report provide a deeper understanding of what's in store for venture capital in 2024. There's still considerable opportunity for innovation and growth, especially in areas fueled by AI. https://lnkd.in/ggyzYJS2 #InvestmentTrends #PrivateEquity #ArtificialIntelligence
Headline, a VC fund, developed Deepdive, an AI analytics tool for startups #AI #artificialintelligence #customerbehavior #datadrivengrowthstrategies #DeepdiveAIanalytics #Headline #Investment #llm #machinelearning #NicolasVonBlottnitz #productmarketfit #responsibleinvesting #retentiondynamics #revenuemetrics #startupecosystem #ThomasGieselmann
The venture capital (VC) sector is currently undergoing a transformative shift towards methodologies driven by data, analytics, and AI, profoundly altering traditional paradigms in startup investment. By 2025, over 75% of VC deal analyses are expected to be informed by data, analytics, and AI, according to a report by Data-driven VC. This transformation is reshaping how startups are sourced, evaluated, and managed, with an increasing reliance on digital data sources and advanced analytical tools. While data-driven approaches offer significant advantages, successful VC strategies still need to integrate human judgment with analytics to form a balanced investment methodology, highlighting the importance of synergizing data insights with industry expertise. #HemiVC https://lnkd.in/ee8H_kRj
How is AI transforming venture capital? Forbes explores the rise of AI-powered deal-making in VC and its potential to democratize access to capital. Timothy Papandreou provides an in-depth look at this evolving landscape. https://lnkd.in/eypNkAkQ #AI #ArtificalIntelligence
CMO @ InvestHub & Konzortia Capital ► Generating Brand Awareness, Business Growth, and Revenue for B2B and B2C Companies
1moThis article brilliantly highlights the transformative impact of data-driven deal sourcing on the investment landscape. By leveraging AI and ML, investors can achieve higher success rates and make more informed decisions, ultimately optimizing their portfolios for maximum returns. Platforms like InvestHub are essential tools for modern investors seeking a competitive edge in the ever-evolving startup ecosystem.