Scroll
a.s.ist is a deep-tech startup from The University of Tokyo. We combine AI, statistics, and measurement science to automate R&D and manufacturing workflows.
Expertise in AI & Statistics
Our team members have published papers and given invited talks on AI and statistics, with a professor from The University of Tokyo as our technical advisor.
View members
Rooted in the Field
We start by understanding your actual process, then design analytics and automation that match it.
View solutions
Industry Track Record
We have experience across a wide range of industries — automotive, analytical instruments, building systems, steel, polymers, and more.
View case studies
Product
Automated Analytics Software
Automatically built anomaly detection models
Anomaly Detection AI Agent
Learn more →
Solution
Custom AI & Analytics Solutions
Analytics built for your operations — anomaly detection, automated reporting, custom algorithms, and more.
Learn more →
Physical AI
Physical AI
Beyond analysis — toward AI that acts in the real world. Integrating sensing, robotics, and edge control, we extend automation in research and manufacturing into physical space.
Learn more →Clients
A selection of our clients
News
Latest updates from a.s.ist. Full articles are available in Japanese only.
Announcement
May 27, 2026
Presented at NEDO Challenge "Manufacturing DX"
a.s.ist presented software that automatically builds statistical anomaly-detection algorithms from natural-language instructions using an AI agent, and shared results from proof-of-concept trials with three companies.
Press Release
Apr 14, 2026
AutoStatSpectra launches a free 7-day trial — a world-first Bayesian spectral analysis platform
Try AutoStatSpectra free for 7 days — our Bayesian-powered spectral analysis platform. Works with XPS, FT-IR, NMR, and more, reducing analyst-dependent variability in spectral analysis.
Announcement
Apr 3, 2026
Introducing our Tech Blog
Deep dives on AI, data analytics, and local LLMs — straight from our engineers. First up: Google Gemma 4 benchmarked against the leading local LLMs.
Discuss your challenge
Tell us about your data and workflows — we'll help you find the right solution.