TruEra specializes in evaluating, testing, and monitoring machine learning (ML) models to ensure they are reliable and high-performing. Their services include monitoring, reporting, and alerting on the performance of ML models, which helps businesses understand and improve their AI systems. TruEra's clients range from major retailers to financial institutions and government agencies, all of whom use their tools for various applications like fraud detection and compliance. A key aspect of TruEra's approach is their partnership with Intel, which allows them to optimize their solutions for better performance. Unlike many competitors, TruEra offers a combination of subscription-based services for continuous monitoring and expert consulting to help businesses troubleshoot and enhance their AI systems. The goal of TruEra is to help organizations achieve trustworthy and effective AI initiatives that deliver consistent returns on investment.

Harpoon Ventures

ForgePoint Capital

Greylock Partners

Data Community Fund

Wing Venture Capital

Menlo Ventures

Conversion Capital

B Capital Group

Harpoon

Aaref Hilaly

Consulting

AI & Machine Learning

TruEra

Snowflake acquires TruEra to deliver LLM observability inside data cloud.

Snowflake acquires TruEra to deliver LLM observability inside data cloud

REDWOOD CITY, Calif., March 13, 2024 (GLOBE NEWSWIRE) -- TruEra , the only AI Observability company that covers the full AI lifecycle, announced its latest version of TruEra AI Observability, with major enhancements to its Generative AI Observability capabilities. Multiple innovations include an architecture that scales seamlessly from individual developers to enterprises, greater collaboration capabilities, robust LLM app monitoring, and serious cost benefits against alternatives, allowing companies to deliver high-performance LLM apps faster, and keep them high performing in production for longer. With these enhancements, TruEra becomes the only company with both a leading open source offering for LLM application evaluation and a scalable, enterprise-class evaluation and observability solution for both Generative and Predictive AI.One of the keys to success in Gen AI is providing critical evaluation and monitoring of LLM applications, which have well known risks for reliability, hallucination, and toxicity, for example. TruEra’s open source solution, TruLens, provides LLM evaluation and tracking for the individual developer. As TruLens usage grew rapidly – recording an 8x increase in downloads from November 2023 to January 2024 – TruEra heard increasing demands for higher scale, collaboration, and LLM app monitoring in production.The latest release of TruEra AI Observability brings full Generative AI Observability and LLM Observability capabilities to teams, mid-size organizations, and the enterprise. Individual developers can start with open-source, free TruLens on their individual laptops, then seamlessly transition to the scalability, collaboration, and monitoring capabilities of TruEra

Truera Launches Llm Evaluation And Observability That Combines Leading Open Source Software And Massive Enterprise Scale

TruEra launches comprehensive AI tool with enhanced Capabilities to address LLM risks and enhance development.

TruEra Launches Comprehensive AI Tool with Enhanced Capabilities to Address LLM Risks and Enhance Development

REDWOOD CITY, Calif., Sept. 20, 2023 (GLOBE NEWSWIRE) -- TruEra today launched TruEra AI Observability, the first full-lifecycle AI observability solution providing monitoring, debugging, and testing for ML models in a single SaaS offering. TruEra AI Observability now covers both generative and traditional (discriminative) ML models, meeting customer needs for observability across their full portfolio of AI applications, as interest in developing and monitoring LLM-based apps is accelerating.Minimizing the risks of LLM-based applicationsInitial development of LLM-based applications is dramatically increasing since the launch of ChatGPT. However, LLM-based applications have well-known risks for hallucinations, toxicity and bias. TruEra AI Observability offers new capabilities for testing and tracking LLM apps in development and in live use, so that risks are minimized while acceleratingLLM app development. The product capabilities were informed by the traction of TruLens – TruEra’s open source library for evaluating LLM applications.“New applications and use cases based on Large Language Models like GPT-4, Google Palm, and open source models like Llama 2 from Meta are proliferating

Truera Launches Truera Ai Observability, The First Full Lifecycle Ai Observability Solution Covering Both Generative And Traditional Ai

REDWOOD CITY, Calif., June  21, 2023  (GLOBE NEWSWIRE) -- TruEra, which provides the first suite of AI Observability solutions for model monitoring, testing, and debugging, today announced that it has been selected as winner of the “Best AI Quality Management Solution” award in the sixth annual AI Breakthrough Awards program conducted by AI Breakthrough, a leading market intelligence organization that recognizes the top companies, technologies and products in the global Artificial Intelligence (AI) market today.    TruEra provides ML monitoring, testing, and debugging solutions that help companies quickly build and maintain high quality machine learning models. TruEra helps ensure that these models perform, are explainable, deliver real business results, and avoid risks like bias or drift. TruEra has a growing roster of customers around the world, including major banks, insurers, publishers, retailers, and technology companies.    “AI Observability is key to successful data science and MLOps initiatives, as well as to achieving a real return on AI investments,” said Will Uppington, Co-founder and CEO of TruEra. “Enterprises that invest in AI Quality management from the start will be able to deploy more models, faster, and reap the benefits of AI faster and more deeply than competitors

Truera Named “Best Ai Quality Management Solution” In 2023

TruEra, which provides software to test, debug, and monitor ML models across the full MLOPs lifecycle, today launched TruLens for LLM Applications, the first open source testing software for apps built on Large Language Models (LLMs) like GPT.

TruEra Releases TruLens, Groundbreaking Open Source Testing Software for Large Language Models

Join top executives in San Francisco on July 11-12, to hear how leaders are integrating and optimizing AI investments for success. Learn More. TruEra, a vendor providing tools to test, debug and monitor machine language (ML) models, today expanded its product portfolio with the launch of TruLens, open-source software dedicated to testing applications built on large language models (LLMs) like the GPT series.Available starting today for free, TruLens provides enterprises with a quick and easy way to evaluate and iterate on their LLM applications and eliminate the chances of hallucination and bias in the production stage.Currently, only a limited number of vendors offer tools to tackle this aspect of LLM app development, even as enterprises across sectors continue to explore the potential of generative AI for different use cases.Why TruLens for LLM applications?LLMs are all the rage, but when it comes to building applications based on these models, companies have to go through a tiring experimentation process that involves human-driven response scoring. Essentially, once the first version of an app is developed, teams have to manually test and review its answers, adjust prompts, hyperparameters and models, and then re-test over and over until a satisfactory result is achieved.

Truera Launches Free Tool For Testing Llm Apps For Hallucinations

TruEra, a leading provider of AI quality management solutions for testing, interpreting, debugging, and monitoring machine learning (ML) models, today announced that it has been selected by PwC to integrate AI risk management in the UK and Ireland.

PWC UK Picks Ai Quality Leader TruEra To Collaborate On Ai Risk Management

This article is part of a VB special issue. Read the full series here: The quest for Nirvana: Applying AI at scale. When it comes to applying AI at scale, responsible AI cannot be an afterthought, say experts.“AI is responsible AI — there’s really no differentiating between [them],” said Tad Roselund, a managing director and senior partner with Boston Consulting Group (BCG).And, he emphasized, responsible AI (RAI) isn’t something you just do at the end of the process. “It is something that must be included right from when AI starts, on a napkin as an idea around the table, to something that is then deployed in a scalable manner across the enterprise.”Making sure responsible AI is front and center when applying AI at scale was the topic of a recent World Economic Forum article authored by Abhishek Gupta, senior responsible AI leader at BCG and founder of the Montreal AI Ethics Institute; Steven Mills, partner and chief AI ethics officer at BCG; and Kay Firth-Butterfield, head of AI and ML and member of the executive committee at the World Economic Forum.“As more organizations begin their AI journeys, they are at the cusp of having to make the choice on whether to invest scarce resources toward scaling their AI efforts or channeling investments into scaling responsible AI beforehand,” the article said. “We believe that they should do the latter to achieve sustained success and better returns on investment.”Responsible AI (RAI) may look different for each organizationThere is no agreed-upon definition of RAI. The Brookings research group defines it as “ethical and accountable” artificial intelligence, but says that “[m]aking AI systems transparent, fair, secure, and inclusive are core elements of widely asserted responsible AI frameworks, but how they are interpreted and operationalized by each group can vary.”That means that, at least on the surface, RAI could look a little different organization-to-organization, said Roselund.“It has to be reflective of the underlying values and purpose of an organization,” he said

Responsible Ai Is A Must For Achieving Ai At Scale

Register now for your free virtual pass to the Low-Code/No-Code Summit this November 9. Hear from executives from Service Now, Credit Karma, Stitch Fix, Appian, and more. Learn more. The ability to enable responsible artificial intelligence (AI) with models that help to mitigate bias and work reliably in a consistent manner, is no easy task

Truera Brings Automated Ai Testing  To Dev Workflows For Accelerated Model Deployment

Evaluates and monitors machine learning models

TruEra

Evaluates and monitors machine learning models

TruEra

Evaluates and monitors machine learning models

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