Visual Data Preparation Made for All
Instill AI is on a mission to make Vision AI highly accessible to everyone. We build tools to streamline the process of distilling the value of unstructured visual data across all stakeholders in the modern data stack, to ultimately benefit all size organisations. Read our blog post Why Instill AI exists on what is missing in the modern data stack and how we are going to fix it for more details.
Xiaofei Du
Ping-Lin Chang
Xiaofei Du COO
🤖 Machine Learning & Computer Vision enthusiast | 🚀 Co-founder of Instill AI | 👩🔬 PhD in Medical Physics @ UCL
Ping-Lin Chang CEO
🪐. Entrepreneur | 🧑🏻💻 Coder | 🤖 Machine Learning & Computer Vision enthusiast | 🚀 Co-founder of Instill AI | 🎓 PhD in Robotic Vision @ Imperial College London
We have built Instill AI with two key concepts in mind: 1) customer obsession and 2) high-performing company with shared values.
1. User obsession
We succeed only when our users succeed. Learning what can really help our customers and delivering the value they need will always be Instill’s highest interest. Therefore, for our customers, we particularly focus on:
2. High-performing company with shared values
We always deliver more than expected. To achieve that, we are the optimisers obsessively chasing intrinsic efficiency and effectiveness. All in all, given a certain period of time, how far we can reach depends on how fast we can move. To optimise Instill’s performance, we mainly focus on:
We are a small and ambitious team of passionate engineers/researchers sharing an unconventional culture fused by DevOps, MLOps and academic research lab. We are hands-on and love to automate everything. We care about our products and deliver to the highest standard. The two co-founders are from the academic PhD research lab at Imperial College London and University College London with in-depth computer vision and machine learning experiences and miscellaneous practical engineering skills applied to the startup battlefield. You can find more about Instill AI on our blog and GitHub.
Computer equipment including one MacBook Pro and one external monitor
Learning and Development budget
Fully remote - Be where you like
Flexible working hours
