Startup Showcase: Instill AI – Brings unstructured data infrastructure to the masses

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Do you want to derive insights or build AI-first applications from unstructured data 10x faster? Instill AI has got you covered. This startup is on a mission to make AI more accessible to everyone, developing open-source unstructured data infrastructure called Versatile Data Pipeline VDP. With a no- or low-code interface, VDP provides a reliable and scalable foundation for services and applications built with unstructured data such as text, image, or video data.

What is unstructured data, and why is it challenging to work with?

Unstructured data is data that has no predefined format or structure, making it challenging to process and analyze. Traditional data management systems are designed for structured data like spreadsheets, databases, or online forms. However, most of the data being generated today is unstructured data such as social media posts, customer reviews, satellite images, or video feeds. It requires specialized tools and techniques such as natural language processing (NLP), image recognition or speech-to-text algorithms to extract insights, patterns or meaningful information from unstructured data.

How does VDP solve the unstructured data challenge, and who can benefit from it?

VDP is an open-source platform that simplifies the infrastructure required to process, store and analyze unstructured data, enabling businesses or individuals who lack deep technical expertise to build AI applications using unstructured data. VDP supports popular cloud providers like Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure and comes with pre-built connectors to popular data sources such as Twitter, YouTube, or public data repositories. Users can use VDP’s drag-and-drop interface or Python APIs to create data pipelines and run analytics on it, without worrying about the underlying infrastructure or scalability.

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VDP can be beneficial to various use cases such as:

  • Sentiment analysis of customer reviews for a brand, product or service
  • Automated tagging and curation of digital media assets such as images or videos
  • Fraud detection or anomaly detection in insurance, finance or cybersecurity
  • Predictive maintenance of industrial machines, devices or equipment
  • Patient monitoring or diagnostics in healthcare or life sciences

What makes Instill AI unique and why should potential investors pay attention?

Instill AI’s team consists of some of the brightest minds in the field of Robotic Vision and Machine Learning, with academic backgrounds from Imperial College London and University College London. Members also have extensive industrial experience in building large-scale real-time distribution systems and AI products. The team’s vision is to democratize AI by reducing the cost and complexity of building AI-first applications using unstructured data, empowering small businesses and individuals to compete with large incumbent players in the AI space.

Instill AI’s founder and CEO, Hongzhi Li, has received multiple awards and recognition for his research in robotics and AI, including the Best Vision Paper award at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020. With a strong technical background and entrepreneurial experience in leading projects and teams, Li is well-positioned to scale Instill AI’s operations and reach.


Instill AI is an early-stage startup with a big vision, making AI more accessible to everyone by developing open-source unstructured data infrastructure. With the rise of unstructured data across various industries, VDP can be an excellent tool for extracting insights from unstructured data, without requiring specialized skills or substantial infrastructure investments. Investors looking for promising AI startups with a strong technical team and innovative technology should pay attention to Instill AI.

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