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
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
該平台作爲一箇中間層，可以協調數據孤島並自動爲數據添加上下文和含義，從而實現可靠和透明的AI項目。
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，紐約 / PRNewswire / -- illumexGenerative Semantic Fabric平台是針對結構化企業數據的平台，今天宣佈籌集了1300萬美元的種子資金。此輪融資由卡杜門資本、amdocs ventures和三星風投領銜，ICI Fund、Jibe Ventures、Iron Nation Fund、Ginossar Ventures、ICON Fund、Today Ventures和知名天使投資者參與。illumex的目標是通過自動創建一個語義層，統一數據孤島和添加業務語境以及生成一個一致的領域特定術語表，從而賦予組織突破阻礙生成AI(真AI)計劃的數據挑戰的能力。該公司已經有像Teva和Carson這樣的大型企業利用illumex來準備他們的數據AI，並與Microsoft、Google Cloud和AWS建立了合作關係。
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.
根據麥肯錫的最新一項調查，生成式人工智能的應用在過去一年裏激增，現在有三分之二的組織正在使用這項技術。更爲重要的是，真AI現在正在爲企業帶來顯著的商業價值，一些組織的貢獻已經增加到了10%以上。然而，對真AI的不準確性和風險的擔憂不斷增加，近四分之一的組織表示他們已經經歷過負面影響。現有的解決方案如檢索增強生成(RAG)，通過爲AI模型提供企業數據來增強準確性。然而，對於結構化數據來說，RAG存在缺點：它需要持續的手動維護，並不能確保真相的單一來源或準確的LLM響應。非結構化數據，如文本文檔，是語義有意義的，但結構化數據缺乏內在的上下文，需要手動標記，往往導致企業數據源之間的歧義和不一致性。這種組織混亂的數據以及諸如重複記錄和衝突術語的問題，破壞了人們對真AI應用程序的信任。根據麥肯錫的最新調查。重要的是，真AI現在正在爲企業帶來顯著的商業價值，一些組織的貢獻已經增加到了10%以上。然而，對真AI的不準確性和風險的擔憂不斷增加，近四分之一的組織表示他們已經經歷過負面影響。現有的解決方案如檢索增強生成(RAG)，通過爲AI模型提供企業數據來增強準確性。然而，對於結構化數據來說，RAG存在缺點：它需要持續的手動維護，並不能確保真相的單一來源或準確的LLM響應。非結構化數據，如文本文檔，是語義有意義的，但結構化數據缺乏內在的上下文，需要手動標記，往往導致企業數據源之間的歧義和不一致性。這種組織混亂的數據以及諸如重複記錄和衝突術語的問題，破壞了人們對真AI應用程序的信任。
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通過使用生成式AI自動發現、映射和添加結構化企業數據的語義意義來解決這個問題。該平台分析元數據 — 而不是訪問底層的敏感信息 — 來創建一個統一的語義知識圖譜。這個圖譜是一致的業務術語和上下文來對接所有數據的真相來源。通過自動構建一個領域特定本體，該本體形式地定義了代表組織知識結構的實體、屬性和關係，illumex 能夠實現跨企業的一致、有上下文的數據交互。這是一個基礎，使LLM能夠可靠地將用戶的問題映射到應該被檢索的相關數據點，以便在確保適當治理的同時提供準確的結果。
"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（本應如此翻譯）的創始人兼CEO Inna Tokarev Sela表示：“企業生成式AI的成功關鍵在於解決導致許多項目失敗的基本數據挑戰。我們的生成式語義織物將組織數據與業務含義和領域特定語境相結合，使組織終於可以信任他們AI方案的結果。通過使業務用戶能夠使用自然語言可靠地與數據交互，而不是教他們精確的技術定義，我們正在民主化AI，並賦予企業更好的決策能力。”
"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的創始人兼總合夥人Gonzalo Martínez de Azagra表示：“對於複雜和受監管的行業企業而言，採用生成式AI不僅僅是一件好事，而是一個存在的必然。然而，他們面臨着需要平衡AI驅動的創新與嚴格的數據治理和安全要求的獨特挑戰。illumex完美地彌合了這個差距，使企業能夠最大化真AI機會，同時確保驅動這些應用程序的數據的完整性、淵源和可信度。illumex在保證組織數據AI準備極佳的同時，還可以實現上下文和治理的GenAI交互，這在很大程度上緩解了人們的擔憂。”
About illumex
關於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通過其生成式語義織物授權組織解鎖其企業數據的全部價值。該公司的即插即用平台自動化了將數據的語義映射和解決業務孤島中的術語不一致的複雜過程，這對於實現AI和真正的AI準備非常關鍵。通過使LLM實現透明和治理的數據交互，illumex爲生成式AI打開了轉型的企業用例。該公司的創始人Inna Tokarev Sela曾擔任Sisense的機器學習高級副總裁和SAP的機器學習高級總監，擁有20年領導大型項目利用數據進行AI的經驗。illumex是英特爾Ignite和ICON計劃的校友。
Gavriel Cohen
Concrete Media for illumex
[email protected]
Gavriel Cohen
illumex的Concrete Media
[email protected]
SOURCE illumex
來源：illumex
譯文內容由第三人軟體翻譯。