News
Latest updates from a.s.ist Inc. (Full articles are currently in Japanese.)
Apr 14, 2026
Launched a 7-day free trial of "AutoStatSpectra," a spectral analysis software based on Bayesian statistics. Supports XPS, FT-IR, NMR, and other spectral data — automatically determining peak counts and shapes, and estimating background and noise without reliance on individual expertise.
Apr 3, 2026
We launched our engineering-focused "Tech Blog" covering AI, data analytics, local LLMs, and more. The first post is "Google Gemma 4 — Benchmark comparison against major local LLMs."
Mar 7, 2026
We will exhibit at "MDX 2026 Manufacturing AI & DX EXPO" (co-held with Startup JAPAN EXPO 2026) at Makuhari Messe. Hall 8, booth 8-205. Three demos: automated spectral analysis, real-time anomaly detection, and process/experiment optimization.
Jan 18, 2026
We will exhibit at "Factory Innovation Week 2026" at Tokyo Big Sight. Booth: South Hall 4, S21-13. Demos of spectral data analysis, sensor anomaly detection, and generative-AI document automation.
Nov 10, 2025
We will exhibit at "IIFES 2025" at Tokyo Big Sight. East Hall 5, booth ST-03. Demos of spectral data analysis, sensor anomaly detection, and generative-AI document automation.
Nov 1, 2025
We will exhibit at the Startup Future Factory booth of "Japan Mobility Show 2025" at Tokyo Big Sight.
Oct 19, 2025
We will exhibit at the "Shin-Gijutsu Sōshutsu Kōryūkai 2025 Product Exhibition" at Tokyo Tama Mirai Messe (Hachioji).
Oct 9, 2025
We will exhibit at "CEATEC 2025" at Makuhari Messe. Hall 3, booth 3H222. Demos of AI-driven anomaly detection, feature analysis, and automated spectral analysis.
Oct 9, 2025
Selected for NEDO's Prize-Based Program. We are seeking proof-of-concept partners for an AI-driven sensor-anomaly detection agent aimed at manufacturing DX.
Oct 8, 2025
Nikkei xTECH featured us in an article titled "White-box AI for manufacturing — a University-of-Tokyo-born startup delivers 3× or more speed-up."
Aug 7, 2025
We will exhibit at "JASIS 2025" at Makuhari Messe. Hall 5, booth 5B-304. Showcasing anomaly detection, feature analysis, and spectral analysis solutions powered by proprietary statistical AI.
Jul 14, 2025
We will exhibit at "Manufacturing World [Tokyo] 2025" at Makuhari Messe. Hall 11, booth 74-13.
Jul 6, 2025
We received the sole Grand Prize out of 160 entries from 30 countries. We proposed an "automated large-scale data analysis and supplementary data platform for materials development." Prize: USD 20,000.
May 27, 2025
We launched the beta of "a.s.ist," an automated spectral analysis software that uses Bayesian inference to automatically infer fitting functions, peak counts, and peak positions.
May 2, 2025
We will exhibit at "TECH Biz EXPO 2025" at Nagoya SME Promotion Hall (Fukiage Hall).
Apr 25, 2025
We will exhibit at "Startup JAPAN EXPO 2025" at Tokyo Big Sight. South 1-2 Hall, booth S6-7.
Feb 7, 2025
Received the Jury Special Prize at Ricoh's accelerator program "TRIBUS 2024." Strengthened resin classification algorithms for mixed-material detection and automated experimental data analysis.
Oct 17, 2024
We will exhibit at "Shin-Gijutsu Sōshutsu Kōryūkai 2024" at Tokyo Tama Mirai Messe (Hachioji). Demonstrating spectral data analysis and high-dimensional data analytics.
Oct 1, 2024
We have been selected for "SET SAIL!", an AI-focused startup support program launched by the City of Kobe.
Sep 24, 2024
Selected for Ricoh's accelerator program "TRIBUS 2024." Chosen from among 172 startup applicants.
Sep 8, 2024
Team "a.s.ist-lab" won the Grand Prize at the UMP-JUST hackathon "Creating the Future of Generative AI."
Aug 17, 2024
Presented on "Bayesian Inference for Real-World Deployment" at the 60th Information Measurement Online Seminar hosted by JST CREST / PRESTO.
Jan 31, 2024
Professor Masato Okada of the University of Tokyo has been appointed Technical Advisor to a.s.ist Inc. We aim to strengthen our technical capabilities under his guidance in Bayesian inference and sparse modeling.
Sep 23, 2023
Received the Grand Prize at the 6th Data Science Contest hosted by the University of Tokyo Mathematical and Informatics Cooperative Training Center.
Tell us about your data and workflows — we'll build what fits.
