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Think-Reason-Learn (TRL) is an open-source decision harness that combines machine learning and language models, using a language model to answer plain-language questions about each case while learning from past outcomes which questions matter. It produces fast, low-cost, explainable predictions on text, transcripts, video or image evidence for use cases such as startup outcomes, pitch assessment, litigation, earnings calls, clinical trials, insurance claims and loan applications.
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Frequently asked questions
- What does Thinkreasonlearn do?
- Think-Reason-Learn (TRL) is an open-source decision harness that combines machine learning and language models, using a language model to answer plain-language questions about each case while learning from past outcomes which questions matter. It produces fast, low-cost, explainable predictions on text, transcripts, video or image evidence for use cases such as startup outcomes, pitch assessment, litigation, earnings calls, clinical trials, insurance claims and loan applications.
- Who are Thinkreasonlearn's investors?
- Thinkreasonlearn's investors include Vela Partners.