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Research assistantsDiscontinued

Sup AI

Discontinued accuracy-focused multi-model AI assistant

Sup AI was an accuracy-focused assistant that combined answers from multiple frontier and open-weight language models. Its founder states that the company is winding down, subscriptions have been paused, and customers will not be billed again, so the product is no longer available for new use.

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Research assistants
Last verified
Jul 30, 2026

The decision

Should Sup AI make your shortlist?

Start with the job, the team, and the constraints. Product fit becomes much clearer when those three line up.

Strongest fit

Who it is built for

    Practical use cases

    Jobs it can take on

      Before you choose

      Know the tradeoffs

      • Sup AI as a company is winding down and active subscriptions have been paused.
      • The product is no longer billing customers.
      • Existing subscribers must contact support to request a refund or copy of their data.

      Inside the product

      What you can actually do with it.

      The core product capabilities, grouped around the work they enable.

      Model ensemble

      Sup AI combined responses from several frontier and open-weight models instead of relying on a single model.

      Confidence scoring

      The product used token log probabilities to assess model confidence when evaluating answers.

      Segment-level synthesis

      It fused model outputs segment by segment according to where each model was most confident.

      Typical workflow

      Before winding down, Sup AI queried multiple language models with a user request. It evaluated their confidence signals and synthesized their responses into a combined answer. The product is no longer accepting new use.

      Plans and official links

      Plans and accessNot publicly listed.

      See the entry price, free access options, company details, and direct vendor destinations in one place.

      Choosing for a real workflow?

      Make the tool work with the rest of your operation.

      We map the workflow, connect existing systems, choose what to buy, and build what is missing.

      Discuss your workflow