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Illumex Announces $13M Funding to Enable Trustworthy and Governed Enterprise GenAI With Structured Data

Illumex Announces $13M Funding to Enable Trustworthy and Governed Enterprise GenAI With Structured Data

Illumex宣布获得1300万美元的资金,以支持可信的治理企业GenAI和结构化数据。
PR Newswire ·  06/27 09:00

The platform acts as an intermediate layer that reconciles data silos and automatically adds context and meaning to data, enabling reliable and transparent AI initiatives

该平台作为一个中间层,可以协调数据孤岛并自动为数据添加上下文和含义,从而实现可靠和透明的AI项目。

NEW YORK, June 27, 2024 /PRNewswire/ -- illumex, the Generative Semantic Fabric platform for structured enterprise data, announced today that it has raised $13M in seed funding. The round was led by Cardumen Capital, Amdocs Ventures, and Samsung Ventures, with participation from ICI Fund, Jibe Ventures, Iron Nation Fund, Ginossar Ventures, ICON Fund, Today Ventures, and renowned angel investors. illumex empowers organizations to overcome data challenges that hinder generative AI (GenAI) initiatives by automating the creation of a semantic layer that unifies data silos and adds business context, as well as generating a consistent vocabulary of domain-specific terminology. The company already has large enterprises, like Teva and Carson, leveraging illumex for their data AI readiness and has forged partnerships with Microsoft, Google Cloud, and AWS.

2024年6月27日,纽约 / PRNewswire / -- illumexGenerative Semantic Fabric平台是针对结构化企业数据的平台,今天宣布筹集了1300万美元的种子资金。此轮融资由卡杜门资本、amdocs ventures和三星风投领衔,ICI Fund、Jibe Ventures、Iron Nation Fund、Ginossar Ventures、ICON Fund、Today Ventures和知名天使投资者参与。illumex的目标是通过自动创建一个语义层,统一数据孤岛和添加业务语境以及生成一个一致的领域特定术语表,从而赋予组织突破阻碍生成AI(真AI)计划的数据挑战的能力。该公司已经有像Teva和Carson这样的大型企业利用illumex来准备他们的数据AI,并与Microsoft、Google Cloud和AWS建立了合作关系。

Adoption of generative AI has surged over the past year, with two-thirds of organizations now using the technology, according to a recent McKinsey survey. Importantly, GenAI is now driving significant business value, with some organizations reporting a contribution of upwards of 10% to bottom lines. However, concerns about the inaccuracy and the risks of GenAI have only grown, and nearly a quarter of organizations say they've already experienced negative consequences. Existing solutions like retrieval-augmented generation (RAG) enhance accuracy by providing enterprise data for AI models. However, RAG has drawbacks, especially with structured data: it demands continuous manual maintenance and doesn't ensure a single source of truth or accurate LLM responses. Unstructured data, such as text documents, is semantically meaningful, but structured data lacks inherent context, needing manual labeling that often results in ambiguity and inconsistencies across enterprise data sources. This disorganized data, with issues like duplicate records and conflicting terminology, erodes trust in GenAI applications.

根据麦肯锡的最新一项调查,生成式人工智能的应用在过去一年里激增,现在有三分之二的组织正在使用这项技术。更为重要的是,真AI现在正在为企业带来显著的商业价值,一些组织的贡献已经增加到了10%以上。然而,对真AI的不准确性和风险的担忧不断增加,近四分之一的组织表示他们已经经历过负面影响。现有的解决方案如检索增强生成(RAG),通过为AI模型提供企业数据来增强准确性。然而,对于结构化数据来说,RAG存在缺点:它需要持续的手动维护,并不能确保真相的单一来源或准确的LLM响应。非结构化数据,如文本文档,是语义有意义的,但结构化数据缺乏内在的上下文,需要手动标记,往往导致企业数据源之间的歧义和不一致性。这种组织混乱的数据以及诸如重复记录和冲突术语的问题,破坏了人们对真AI应用程序的信任。根据麦肯锡的最新调查。重要的是,真AI现在正在为企业带来显著的商业价值,一些组织的贡献已经增加到了10%以上。然而,对真AI的不准确性和风险的担忧不断增加,近四分之一的组织表示他们已经经历过负面影响。现有的解决方案如检索增强生成(RAG),通过为AI模型提供企业数据来增强准确性。然而,对于结构化数据来说,RAG存在缺点:它需要持续的手动维护,并不能确保真相的单一来源或准确的LLM响应。非结构化数据,如文本文档,是语义有意义的,但结构化数据缺乏内在的上下文,需要手动标记,往往导致企业数据源之间的歧义和不一致性。这种组织混乱的数据以及诸如重复记录和冲突术语的问题,破坏了人们对真AI应用程序的信任。

illumex solves this by using generative AI to automatically discover, map, and add semantic meaning to structured enterprise data. The platform analyzes metadata — without accessing the underlying sensitive information — to create a unified semantic knowledge graph. This graph acts as a single source of truth that aligns all data with consistent business terminology and context. By automatically constructing a domain-specific ontology, which formally defines the entities, properties, and relationships that represent an organization's knowledge structure, illumex enables consistent, contextually relevant data interactions across the enterprise. This serves as a foundation that enables LLMs to reliably map user questions to the relevant data points that should be retrieved in order to deliver accurate results while ensuring proper governance.

illumex通过使用生成式AI自动发现、映射和添加结构化企业数据的语义意义来解决这个问题。该平台分析元数据 — 而不是访问底层的敏感信息 — 来创建一个统一的语义知识图谱。这个图谱是一致的业务术语和上下文来对接所有数据的真相来源。通过自动构建一个领域特定本体,该本体形式地定义了代表组织知识结构的实体、属性和关系,illumex 能够实现跨企业的一致、有上下文的数据交互。这是一个基础,使LLM能够可靠地将用户的问题映射到应该被检索的相关数据点,以便在确保适当治理的同时提供准确的结果。

"The key to enterprise generative AI success lies in solving the fundamental data challenges that have caused so many projects to fail," said Inna Tokarev Sela, Founder and CEO of illumex. "Our Generative Semantic Fabric aligns organizational data with business meaning and domain-specific context, allowing organizations to finally trust the results of their AI initiatives. By enabling business users to interact reliably with data using natural language, without teaching them the precise technical definitions, we're democratizing AI and empowering enterprises to make better decisions."

illumex(本应如此翻译)的创始人兼CEO Inna Tokarev Sela表示:“企业生成式AI的成功关键在于解决导致许多项目失败的基本数据挑战。我们的生成式语义织物将组织数据与业务含义和领域特定语境相结合,使组织终于可以信任他们AI方案的结果。通过使业务用户能够使用自然语言可靠地与数据交互,而不是教他们精确的技术定义,我们正在民主化AI,并赋予企业更好的决策能力。”

"For enterprises in complex and regulated industries, adopting generative AI isn't just a nice-to-have, it's an existential imperative," said Gonzalo Martínez de Azagra, Founder and General Partner at Cardumen Capital. "However, they face the unique challenge of needing to balance AI-powered innovation with strict data governance and security requirements. illumex perfectly bridges this gap, enabling enterprises to maximize the GenAI opportunity while ensuring the integrity, lineage, and trustworthiness of the data fueling these applications. illumex plays a crucial role in both reassuring organizational data AI-readiness and enabling contextual and governed GenAI interactions."

Cardumen Capital的创始人兼总合伙人Gonzalo Martínez de Azagra表示:“对于复杂和受监管的行业企业而言,采用生成式AI不仅仅是一件好事,而是一个存在的必然。然而,他们面临着需要平衡AI驱动的创新与严格的数据治理和安全要求的独特挑战。illumex完美地弥合了这个差距,使企业能够最大化真AI机会,同时确保驱动这些应用程序的数据的完整性、渊源和可信度。illumex在保证组织数据AI准备极佳的同时,还可以实现上下文和治理的GenAI交互,这在很大程度上缓解了人们的担忧。”

About illumex

关于illumex

illumex empowers organizations to unlock the full value of their enterprise data through its Generative Semantic Fabric. The company's turnkey platform automates the complex process of mapping data semantics and resolving terminological inconsistencies across business silos - a critical step for achieving AI and GenAI readiness. By enabling transparent and governed data interactions with LLMs, illumex opens up transformative enterprise use cases for generative AI. The company was founded by Inna Tokarev Sela, former AVP & Head of AI at Sisense and Senior Director of Machine Learning at SAP, who brings two decades of experience leading large-scale initiatives to leverage data for AI. illumex is an alumni of the Intel Ignite and ICON programs.

illumex通过其生成式语义织物授权组织解锁其企业数据的全部价值。该公司的即插即用平台自动化了将数据的语义映射和解决业务孤岛中的术语不一致的复杂过程,这对于实现AI和真正的AI准备非常关键。通过使LLM实现透明和治理的数据交互,illumex为生成式AI打开了转型的企业用例。该公司的创始人Inna Tokarev Sela曾担任Sisense的机器学习高级副总裁和SAP的机器学习高级总监,拥有20年领导大型项目利用数据进行AI的经验。illumex是英特尔Ignite和ICON计划的校友。

Gavriel Cohen
Concrete Media for illumex
[email protected]

Gavriel Cohen
illumex的Concrete Media
[email protected]

SOURCE illumex

来源:illumex

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