Instill AI, founded on June 11, 2020, is an innovative startup dedicated to democratising access to AI. We specialise in developing AI and data infrastructure to offer a streamlined, low-/no-code solution for users seeking to rapidly extract insights or build AI-driven applications from unstructured data, including text, images, audio, and video. We are the primary developers and maintainers of the open-source Instill Core project (https://github.com/instill-ai/instill-core), an end-to-end, full-stack AI solution that encompasses:
- 💧 Instill VDP (Versatile Data Pipeline): A powerful orchestration tool designed to tackle the complexities of unstructured data ETL, enabling users to efficiently extract, transform, and load diverse data formats.
- ⚗️ Instill Model: A comprehensive MLOps/LLMOps platform focused on seamlessly managing model serving, fine-tuning, and monitoring. This ensures continuous, high-performance model operation, offering robust orchestration for unstructured data processing and machine learning workflows.
- 💾 Instill Artifact: A tool that unifies unstructured data—documents, images, audio, and video—into an AI-ready format. It builds an augmented data catalog, ensuring your data is clean, curated, and ready for AI and RAG (retrieval-augmented generation) applications.
Together, these components form the foundation for AI-first application development, empowering users to effectively manage and process unstructured, semi-structured, and structured data. By integrating our services into their existing data ecosystems, users unlock the full potential of their data and gain seamless access to the latest AI innovations. Building on the success of Instill Core, we launched Instill Cloud (https://instill.tech) in May 2023, extending our capabilities into the cloud for even greater scalability and accessibility.
We are a passionate, close-knit team of engineers and researchers who combine DevOps, MLOps, and academic expertise in an unconventional culture. We pride ourselves on hands-on innovation, automating processes wherever possible, and delivering products of the highest quality.
