Lab release history
Last updated Aug 24, 2026
Apodex model releases
AI research startup founded by Chen Tianqiao (founder of China's Shanda Group and the Tianqiao & Chrissy Chen Institute), with Simon Shaolei Du (University of Washington) as chief scientist. Builds toward a "Heavy-Duty Solver" — agentic systems that carry long-horizon professional and scientific work through to verifiable delivery. Ships the Apodex model family (a full API/web model plus the open-weight Apodex mini), the open-source FrontierAgent harness, and the TRACES discovery benchmark. Exact HQ is not clearly documented in public sources; recorded as US given its US-based leadership and the affiliated (US, Redwood City) Tanka team, pending confirmation. This page collects the lab's model releases, lifecycle events, source links, and model metadata in one crawlable record.
Most recent in this set
2 models
Apodex 1.1 mini
AvailableThe open-weight, locally deployable member of the Apodex 1.1 release (Aug 24 2026): a disclosed 35B-parameter model that Apodex reports reaching the performance band of selected frontier systems across professional work, finance, and scientific research, with further gains from Agent Team coordination — self-reported, and because several compared systems do not publish parameter counts, the lab avoids explicit size-vs-capability claims. Designed to run under the open-source FrontierAgent harness as a local ReAct or multi-agent "Agent Team" system, keeping files, search, code execution, task state, and delivered artifacts in one workflow. Announced as open weights under Apache 2.0 (Hugging Face: apodex/Apodex-1.1-mini); the lab notes model weights and developer documentation were still rolling out at launch, so downloadable availability is announced-but-in-progress. No independently verified benchmark figures at release.
Apodex 1.1
AvailableThe flagship model of Apodex's Aug 24 2026 release, built for what the lab calls "working capability" — sustained, verifiable progress on long-horizon professional and scientific tasks rather than one-shot answers. It powers an online workbench where a single long-running task can read files (papers, CSVs, spreadsheets, images, code), search, execute analysis code, revise its own plan, and coordinate an asynchronous "Agent Team" of sub-agents, with a separate "Statement Review" step that independently checks key claims before delivery. Trained with SFT plus agentic RL (the lab's PIVOT-RL method concentrates learning on the consequential decision points of long trajectories) across two scaling axes: Environment Scaling and Agentic Coordination Scaling. Apodex reports the full model entering the leading band of current agentic systems on complex professional work, finance, and scientific research while retaining broad reasoning, math, coding, and deep-search coverage — self-reported figures (e.g. APEX-Agents 38.5, GDPVal 78.8, FrontierFinance 54.3, FrontierScience-Research 63.3) with no independent audit at launch. Parameter count is not disclosed; the lab explicitly declines size comparisons. Available now via the apodex.ai web workbench with bare-model API access rolling out through major platforms; open weights and full developer docs are in progress.