An ecosystem with a concrete task
Astarter connects compute, agents, data and applications for open finance. LensWave is its flagship AI Trading OS, bringing collective research, strategy validation, execution and review into one product framework. AI trading is the core application and a demanding test of whether ecosystem capabilities solve a real user problem.
Four layers, distinct responsibilities
Data, compute, tools and agent coordination support application development. Integrations require checks of provenance, licences, runtime environments and task delivery; they do not depend on hardware or node packages already having been delivered.
Four layers, distinct responsibilities Each layer supplies distinct capabilities. Every integration needs its own acceptance evidence.
Value for traders, knowledge for the ecosystem
Traders need to understand opportunities, test rules, confirm orders and funds, and explain outcomes. Five LensWave technical modules address these tasks. With consent, selection and validation, specialist capabilities could return to the ecosystem as tools and services. The learning engine and trading model remain R&D goals; usage records do not automatically enter training.
Read capability by stage
Foundational interfaces, bounded research persistence, grid and limited DCA simulations, and membership and Credit simulations have defined-scope evidence. Complete native research workflows, continuous live execution and independent autonomous authorization still require acceptance. Specialist datasets, model weights, evaluated releases and ecosystem feedback remain R&D goals.
An application matrix for capital decisions
LensWave is the flagship AI trading application. AI Portfolio explores allocation, shares and fees. A future Onchain Bot connects trading intent with onchain plans. They share research and tools while managing permissions, risk and outcomes separately. AI Portfolio has candidate designs and simulated flows; Onchain Bot remains a future direction.