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Founded Year



Acquired | Acquired

Total Raised


About Uprise

Uprise is a mental health and performance improvement solution for businesses that helps HR improve employee engagement, retention, and performance by proactively engaging staff by using clinically-proven psychological techniques delivered via mobile app and enhanced with phone coaching. It focuses on crisis prevention rather than crisis management. On March 30th, 2021, Uprise was acquired by Integrated Behavioral Health. The terms of the transaction were not disclosed.

Headquarters Location

Michael Crouch Innovation Centre Gate 2 Avenue

Kensington, New South Wales, 2033,


61 408 202 680

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Expert Collections containing Uprise

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Uprise is included in 2 Expert Collections, including Mental Health Tech.


Mental Health Tech

1,285 items

This collection includes companies applying technology to problems of emotional, psychological, and social well-being. Examples include companies working in areas such as substance abuse, eating disorders, stress reduction, depression, PTSD, and anxiety.


Digital Health

10,348 items

The digital health collection includes vendors developing software, platforms, sensor & robotic hardware, health data infrastructure, and tech-enabled services in healthcare. The list excludes pureplay pharma/biopharma, sequencing instruments, gene editing, and assistive tech.

Latest Uprise News

Microsoft’s UPRISE Automatically Retrieves Prompts to Boost the Zero-Shot Performance of Large Language Models

Mar 23, 2023

In the new paper UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation, a Microsoft research team introduces a novel approach that tunes a lightweight and versatile retriever to retrieve prompts for any given task input to improve the zero-shot performance of LLMs. Pretrained large language models (LLMs) have emerged as a driving force in the evolution of AI systems, and the global race is on to make such models even more powerful. Promising research directions for improving LLMs include model-specific fine-tuning and task-specific prompt engineering. Both of these approaches however have their downsides: the former can be computationally costly while the latter lacks generalization capabilities. In the new paper UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation, a Microsoft research team introduces a novel approach that tunes a lightweight and versatile retriever to retrieve prompts for any given task input to improve the zero-shot performance of LLMs. The team summarizes their main contributions as follows: We introduce UPRISE, a lightweight and versatile approach to improve zero-shot performance of LLMs in the cross-task and cross-model scenarios. UPRISE is tuned with GPT-Neo-2.7B, but can also benefit different LLMs of much larger scales, such as BLOOM-7.1B, OPT-66B and GPT3-175B. Our exploration on ChatGPT demonstrates the potential of UPRISE in improving performance of even the strongest LLMs. The UPRISE prompting process comprises two straightforward steps: retrieve, then predict. Given an input, UPRISE first retrieves a set of positive prompts from a preconstructed pool, then concatenates them with the input to form an input sequence. This is fed to a frozen LLM (fixed weights/parameters), which generates a predicted output. Central to the proposed approach is the prompt retriever. In the training stage, the frozen LLM supervises the prompt retriever’s fine-tuning across a set of tasks. In the inference stage, the trained retriever retrieves appropriate prompts for different task types and different LLMs. This cross-task and cross-model paradigm equips UPRISE with universality — the ability to generalize from seen-in-training to unseen task types — without further tuning. In their empirical study, the team evaluated UPRISE on various natural language understanding tasks. UPRISE outperformed vanilla zero-shot prompting in the experiments and demonstrated strong universality in a cross-task and cross-model scenario. Moreover, the researchers note that UPRISE also mitigated the hallucination problems that have impaired ChatGPT performance, suggesting their approach’s potential to improve even the strongest LLMs. The paper UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation is on arXiv . Author: Hecate He | Editor: Michael Sarazen We know you don’t want to miss any news or research breakthroughs. Subscribe to our popular newsletter  Synced Global AI Weekly  to get weekly AI updates. Share this:

Uprise Frequently Asked Questions (FAQ)

  • When was Uprise founded?

    Uprise was founded in 2015.

  • Where is Uprise's headquarters?

    Uprise's headquarters is located at Michael Crouch Innovation Centre, Kensington.

  • What is Uprise's latest funding round?

    Uprise's latest funding round is Acquired.

  • How much did Uprise raise?

    Uprise raised a total of $190K.

  • Who are the investors of Uprise?

    Investors of Uprise include Integrated Behavioral Health and muru-D.

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