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What is the balance of technology and services in Caplight's business model, and how does it affect the company's scalability?

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What are the common applications of Caplight for investors, including risk management?

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What is the current state and future trajectory of the banking-as-a-service market?

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What was the reason behind Passthrough choosing the subscription docs as the starting point, instead of accreditation and KYC like Parallel Markets?

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Will CartaX be able to foster a buyer-focused diversified ecosystem, considering its issuer-centric approach to private company stock trading?

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How does Caplight determine a company's valuation for transaction parties, and how does it prevent the exploitation of insider information by funds?

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How will the availability of synthetic derivatives on private company stocks affect private market investors' investment strategies?

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What’s the crossover between public and private markets and who is trading in private markets?

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Are SPACs still appealing to investors and companies amid the current market?

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How will Caplight expand to cover privately held assets such as real estate, beyond its current focus on private company securities?

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What new changes do you anticipate for private markets that do not exist currently, given Caplight's role in private market infrastructure maturation?

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How has private market investing transformed over time, from its initial state to where it stands now?

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What was the inspiration behind Nyckel and how did the company come to be?

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How can Nyckel abstract the complexities of managing ML for non-technical product owners to easily build on top of them?

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How has usage-based pricing and recession affected data labeling and can few-shot learning help?

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How did Nyckel achieve its initial product-market fit and what does its core customer profile look like in terms of company type and buyer role?

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Do you see the trend of building on top of existing foundational models rather than creating proprietary models as a potential challenge for Nyckel?

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Is pricing and latency a bottleneck for Nyckel in light of critics saying LLM/GPT latency and costs must reduce 10x?

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Do companies bring their own data to Nyckel, train models with it and then take those models to production?

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Can you explain the differences between AutoML and ML-in-a-box?

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Do vertical integrated companies like Scale, Labelbox and Snorkel gain any advantages offering both labeling and training services for ML algorithms?

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What are the key segments in the AI market and what is the state of AI expected in 2023?

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Will MLOps practitioners move towards all-in-one platforms like DevOps did with GitLab and why were point solutions originally used?

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What was important to Ramp when selecting a partner for its card issuing platform?

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What are Ramp's competitive advantages over similar card issuing products offered by expense management companies like Expensify and bill.com?

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How does Cross River compete with Marqeta, Lithic, and Cardless in the developer-centric fintech market?

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What is the culture at Cross River and how does it balance traditional and modern approaches to building a profitable fintech business?

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What is the relationship between Cross River Bank and Stripe, and how do they compete and collaborate in the market?

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Do you see marketplaces like Synctera coexisting with vertical banks such as Cross River in the future?

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What are the advantages and disadvantages of Synctera's BaaS platform giving banks unique visibility into the activities of their integrated fintechs?

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How does Synctera view banks that provide both vertical banking and BaaS functionality?

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Is Synctera's BaaS platform more bank-friendly compared to other BaaS platforms, allowing for faster aggregation of banks on the supply side?

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What limits banks from serving cannabis, gambling, and sneaker resale businesses?

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What are the major trends driving the growth of fintechs and BaaS, and is the trend of challenger banks still relevant today?

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What are the key similarities and differences between using generative AI to create videos versus text and images?

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How does Runway differ from other startups using generative AI for text, and can you describe its particular approach?

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How has Runway's customer profile evolved with recent developments in generative AI in the last year?

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What are some use cases or examples of how customers are using Finch's services?

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What is the significance of Finch being a developer-first company?

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How does self-supervised learning reduce the need for data preparation and labeling for AI developers?

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How does Runway plan to compete/collaborate with consumer video tools like TikTok & could its tools be integrated into TikTok's video filters?

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Which Pinecone use cases are gaining the most traction, and is there even distribution of growth across all applications?

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What was the motivation behind starting Pinecone and how did the company come to be?

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What impact did advancing the foundation model level have on Pinecone and customers, and how does it relate to creating an ML 'stack'?

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Who is the primary user of Pinecone on the SaaS side and how does the platform enable them to build more sophisticated machine learning applications?

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What are the trends in basket size in the grocery industry?

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Contractor vs employee cost comparison for grocery courier services?

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What are the key observations in the online grocery market since the outbreak of COVID-19?

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What contribution margin can be expected if on-demand grocery players can increase AOV to a reasonable level?

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What are the key determinants of a company's ability to scale their operations, given the hyper-local nature of the on-demand grocery industry?

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