Artemis shifting to decision support

This shift means Artemis is trying to own the step where investment conviction gets formed, which is the highest value part of the workflow. A data terminal helps an analyst pull numbers into a model. A decision support product helps turn a thesis into a target, a watchlist, and eventually a trade trigger. That makes Artemis more like an analyst sitting between raw data and brokerage execution, not just a place to fetch metrics.

• The product path is concrete. Artemis already combines cross asset datasets, then uses Analyst to answer questions with charts and underlying SQL. The stated next step is thesis input, model building, price target setting, and position monitoring, which moves the product from research retrieval into recommendation workflow.
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• This is also a pricing upgrade. Artemis already sells data access through Terminal, Sheets, API, and Snowflake. Decision support lets it charge for time saved and judgment scaffolding, especially for investors comparing one idea across tokens, private companies, and public equities in the same session.
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• The competitive set changes once the product starts shaping decisions. AlphaSense is strongest in document search and synthesis, while Composer and Robinhood are closer to automation and execution. Artemis is carving out the middle layer, thesis formation and ongoing monitoring, where brokerages become the transaction pipe underneath.
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If Artemis keeps pushing in this direction, the product will look less like Bloomberg for crypto and more like an operating system for cross asset investing. The winning platform will be the one that can take a user from idea, to model, to monitored position, then hand the final order to a broker only when the thesis conditions are met.