TQ Ventures

TQ Ventures LLC is a venture capital firm established in 2018 and headquartered in New York City, with additional presence in Los Angeles and a focus on innovative business models across various sectors. Led by partners Schuster Tanger and Andrew Marks, the firm emphasizes backing exceptional founders with strong vision and talent, particularly in early-stage and growth-stage companies. TQ Ventures employs a bottom-up investment approach, seeking opportunities in a wide array of industries, including artificial intelligence, fintech, healthcare, and software as a service. The firm is dedicated to identifying businesses that offer durable competitive advantages and substantial customer value, while also ensuring a scalable and efficient go-to-market strategy. With a portfolio of over 80 companies, TQ Ventures has built a reputation for providing differentiated support and networks, fostering successful partnerships that align with its investment philosophy of shaping the future through innovative entrepreneurship.

Andrew Marks

Co-Founder and Partner

Schuster Tanger

Co-Founder and Partner

Past deals in Database

Oxla

Seed Round in 2024
Meet Oxla, the world's fastest-distributed database, designed to handle large amounts of data with ease. Our unique, simple structure allows 10x faster query execution than the current state-of-the-art solutions (e.g. Snowflake) and data infrastructure cost reduction by up to 70%. Our solution is perfect for companies processing large amounts of data in industries such as business intelligence, IoT, cybersecurity, ad tech, data science, or AI/ML coaching.

ApertureData

Seed Round in 2024
ApertureData specializes in data management services, offering a platform that seamlessly handles large data objects, including images, videos, and documents, without relying on multiple disconnected systems. Its flagship product, ApertureDB, integrates knowledge graphs, multimodal data, and vector search into a single database, significantly reducing data infrastructure setup times by 6 to 12 months. This efficiency is particularly valuable for Chief Technology Officers and Chief Data Officers tasked with navigating the complexities of AI deployment. By centralizing relevant datasets and providing a uniform schema view, ApertureDB enhances data retrieval and query handling, thereby supporting various AI applications, such as chatbots and machine learning solutions. The platform is designed to boost the productivity of data science and machine learning teams by an average of ten-fold, improving performance and accessibility for AI initiatives.

ApertureData

Funding Round in 2023
ApertureData specializes in data management services, offering a platform that seamlessly handles large data objects, including images, videos, and documents, without relying on multiple disconnected systems. Its flagship product, ApertureDB, integrates knowledge graphs, multimodal data, and vector search into a single database, significantly reducing data infrastructure setup times by 6 to 12 months. This efficiency is particularly valuable for Chief Technology Officers and Chief Data Officers tasked with navigating the complexities of AI deployment. By centralizing relevant datasets and providing a uniform schema view, ApertureDB enhances data retrieval and query handling, thereby supporting various AI applications, such as chatbots and machine learning solutions. The platform is designed to boost the productivity of data science and machine learning teams by an average of ten-fold, improving performance and accessibility for AI initiatives.

Oxla

Seed Round in 2022
Meet Oxla, the world's fastest-distributed database, designed to handle large amounts of data with ease. Our unique, simple structure allows 10x faster query execution than the current state-of-the-art solutions (e.g. Snowflake) and data infrastructure cost reduction by up to 70%. Our solution is perfect for companies processing large amounts of data in industries such as business intelligence, IoT, cybersecurity, ad tech, data science, or AI/ML coaching.
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