企业人工智能已从实验阶段转变为实质性的支出项目。企业可以统计令牌、许可证、智能体运行次数以及人工智能生成的代码行数。然而，许多企业仍然无法回答那个决定下一步行动的关键问题：哪些人工智能计划真正值得扩大规模。
Enterprise AI has moved from experimentation to a material line item. Companies can count tokens, licenses, agent runs and lines of AI-generated code. Yet many still cannot answer the question that determines what happens next: which AI initiatives are actually worth scaling.
Ascerta 的创立正是为了给出这一答案。这家前身为 Pay-i 的公司在宣布更名的同时，完成了 1800 万美元的 A 轮融资。本轮融资由戴尔科技资本（Dell Technologies Capital）领投，日立创投（Hitachi Ventures）、BGV、威普罗创投（Wipro Ventures）及早期投资者参投。此轮融资使该公司的融资总额达到 2290 万美元。这笔资金将助力 Ascerta 扩展其所谓的“企业人工智能管理”业务，为企业提供跨组织的人工智能成本、采用率和商业价值的统一视图。
Ascerta was built to give them that answer. The company formerly known as Pay-i has announced its new name alongside an $18 million Series A. Dell Technologies Capital led the round, with participation from Hitachi Ventures, BGV, Wipro Ventures and earlier investors. The round brings total funding to $22.9 million. It will help Ascerta scale what it calls Enterprise AI Management. That gives companies a single view of AI cost, adoption and business value across the organization.
从管理人工智能成本到评估人工智能价值，Ascerta 由微软资深人士大卫·泰珀（David Tepper）、多伦·霍兰（Doron Holan）和埃里克·温特斯（Erik Winters）于 2024 年共同创立。他们亲眼见证了人工智能经济在企业规模化应用中是如何迅速失衡的。泰珀在微软工作了 19 年，曾负责 Azure 内部生成式人工智能的使用策略；霍兰在微软工作了 27 年，曾负责构建每天处理数千亿次请求的超大规模限流基础设施。
From managing AI cost to AI value Ascerta was founded in 2024 by Microsoft veterans David Tepper, Doron Holan and Erik Winters. They saw firsthand how quickly AI economics break at enterprise scale. Tepper spent 19 years at Microsoft and led GenAI strategy for internal use across Azure. Holan spent 27 years there and architected hyperscale throttling infrastructure handling hundreds of billions of requests a day.
该公司于 2025 年 5 月以 Pay-i 的名义走出隐身模式，完成了 490 万美元的种子轮融资，专注于人工智能成本管理。随着人工智能应用的加速，问题范围也在扩大。企业需要了解人工智能的使用方式，以及智能体和模型正在执行的任务。他们还需要知道这些活动所创造的价值是否足以证明进一步投资的合理性。这种需求转变推动了公司更名为 Ascerta，并向企业人工智能价值的全生命周期管理领域进行扩展。
The company emerged from stealth as Pay-i in May 2025 with a $4.9 million seed round focused on AI cost management. As adoption accelerated, the problem widened. Enterprises needed to know how AI was being used and what agents and models were doing. They also needed to know whether that activity was creating enough value to justify more investment. That shift drove the rebrand to Ascerta and an expansion into the full lifecycle of enterprise AI value.
“市场上充斥着毫无意义的虚荣指标，”Ascerta 首席执行官兼联合创始人 David Tepper 表示。“企业在统计令牌数量、生成的代码行数和智能体运行次数，却难以推导出人工智能对其业务的实际影响。我们创立 Ascerta 的初衷，就是为了消除这些噪音，为企业提供在人工智能时代获胜的手段。这意味着要提供针对其业务、人员和用例的洞察，意味着要提供专门构建的工具来防止浪费并积极优化价值。Ascerta 是引导企业度过历史上最关键转型时代之一的向导。”
“The market is full of meaningless vanity metrics,” said David Tepper, CEO and Co-Founder of Ascerta. “Companies are counting tokens, lines of generated code, and agent runs, struggling to derive the impact AI has on their business. We built Ascerta to cut through the noise and give organizations the means to win in the AI-era. That means insights specific to their business, people, and use cases. That means purpose-built tools to prevent waste and aggressively optimize for value. Ascerta is a guide through one of the most pivotal eras of transformation in history.”
Ascerta 的工作原理Ascerta 为领导者提供了一个统一的系统，让他们能够查看组织如何使用人工智能、人工智能正在执行什么任务以及它是否带来了回报。它能够连接企业内部现有的各类人工智能，并与现有系统协同部署。这包括自研应用程序以及大多数常见的人工智能企业工具，例如微软的 Copilot 套件、Amazon Bedrock AgentCore、Salesforce Agentforce，以及包括 GitHub Copilot、Claude Code 和 Codex 在内的主要编程智能体。
How Ascerta works Ascerta gives leaders one system to see how their organization uses AI, what that AI is doing and whether it pays off. It connects to the AI already running across the enterprise and deploys alongside existing systems. That includes homegrown applications and most common enterprise AI tools. Among them are Microsoft’s Copilot suite, Amazon Bedrock AgentCore, Salesforce Agentforce and major coding agents including GitHub Copilot, Claude Code, and Codex.
在此基础上，Ascerta 对人工智能进行全程追踪，从人员的使用方式，到它执行的工作，再到它驱动的成果。其专有研究将每个用例与其旨在推动的业务关键绩效指标（KPI）挂钩。它能展示哪些举措创造了价值，哪些需要改进，哪些应该被砍掉。它按个人、团队和工具追踪采用率，以便组织能够识别出谁取得了真正的成果，并帮助其他人提升人工智能素养。
From there, Ascerta follows AI from how people use it, through the work it performs, to the outcomes it drives. Its proprietary research ties each use case to the business KPIs it was meant to move. It shows which initiatives create value, which need fixing and which should be cut. It tracks adoption by person, team and tool, so organizations can see who is getting real results and help everyone else build AI fluency.
在这一切之下，Ascerta 以市场上最细致的精度衡量人工智能的真实成本。这甚至精确到将单个模型调用与特定用例相关联。它涵盖了其他工具所忽略的子令牌成本、隐藏费用和企业折扣。
Underneath it all, Ascerta measures the true cost of AI with the most granular accuracy on the market. That goes down to tying individual model calls to specific use cases. It includes sub-token costs, hidden fees and enterprise discounts that other tools miss.
三款产品将这一理念贯穿于整个人工智能领域。Atlas衡量人工智能的价值、采用情况和投资回报率，覆盖从单一工作流到完整组合。Forge展示工程团队如何使用编码代理，并将这种采用转化为实际生产力。Convoy帮助自行配置算力的组织充分发挥其价值，同时让他们在不中断生产的情况下增加新的用例。
Three products put this to work across the AI estate. Atlas measures AI value, adoption and ROI, from a single workflow to the full portfolio. Forge shows how engineering teams use coding agents and turns that adoption into real productivity. Convoy helps organizations that provision their own capacity get full value from it. It also lets them add new use cases without disrupting production.
客户吸引力如今，Ascerta与Atos、Wipro以及全球保险公司等客户合作，还与微软、AWS、IBM、Slalom和Trace3等合作伙伴携手。该公司表示，在其客户群体中，其平台将人工智能计划的投资回报率提升了47%，还将代理上线时间缩短了24%，并将浪费的人工智能支出削减了86%。
Customer traction Today, Ascerta works with customers including Atos, Wipro, and global insurance carriers. It also works alongside partners such as Microsoft, AWS, IBM, Slalom, and Trace3. Across customers, the company says its platform has improved ROI on AI initiatives by 47%. It has also reduced agent launch times by 24% and cut wasted AI spend by 86%.
“在Atos，我们的主权代理工作室运营模式建立在将代理式人工智能从试点推向全球规模化生产的基础上，”Atos集团首席技术官兼首席人工智能官Florin Rotar表示。“这需要可衡量的商业价值，而不仅仅是技术能力。Ascerta在兑现这一承诺方面发挥了关键作用，为我们提供了所需的可见性和控制力，使我们能够有信心地扩展人工智能计划。”
“At Atos, our Sovereign Agentic Studios operating model is built on moving agentic AI from pilot to production at global scale,” said Florin Rotar, Group CTO and Chief AI Officer at Atos. “That requires measurable business value, not just technical capability. Ascerta has been instrumental in delivering on that promise, giving us the visibility and control we need to scale AI initiatives with confidence.”
客户使用Ascerta为人工智能驱动的功能赋予硬性美元价值，还用它来挽回因代理运行失败、重复项目和影子人工智能而损失的支出。工程负责人用它来引导团队更有效地使用编码代理。运行自有算力的组织用它来整合工作负载，并在不中断生产的情况下扩展新的用例。
Customers use Ascerta to put hard dollar values on AI-powered features. They also use it to recover spend lost to failed agent runs, duplicate projects and Shadow AI. Engineering leaders use it to guide teams toward more effective use of coding agents. Organizations running their own AI capacity use it to consolidate workloads and scale new use cases without disrupting production.
“Ascerta正在构建AI价值创造的系统记录平台，”戴尔科技资本董事总经理拉曼·卡纳表示。“大多数企业正在超越广泛的AI试验阶段，将投资聚焦于能够带来可衡量商业价值的领域。大卫和Ascerta团队正在为领导者提供所需的可见性和严谨性，帮助他们了解哪些举措行之有效、优化支出并扩展最成功的AI项目。我们很高兴能与Ascerta合作，共同定义企业AI管理这一品类。”为何这在当下至关重要。
“Ascerta is building the system of record for AI value creation,” said Raman Khanna, Managing Director at Dell Technologies Capital. “Most enterprises are moving beyond broad AI experimentation and focusing their investments on what delivers measurable business value. David and the Ascerta team are giving leaders the visibility and rigor they need to understand what’s working, optimize spending and scale their most successful AI initiatives. We’re excited to partner with Ascerta as they define the Enterprise AI Management category.”
企业AI的扩展速度已超出企业的核算能力。它如今涵盖模型、副驾驶、编码代理、内部应用和GPU容量。传统的FinOps工具可以显示成本，但无法展示AI为业务带来了什么，而随着代理承担更多工作，这一差距还在不断扩大。Ascerta通过将人们如何使用AI及其成本与所驱动的成果相连接来弥合这一差距。这让领导者看到哪些有效、哪些需要修复以及下一步该在哪里投资。
Why this matters today Enterprise AI is scaling faster than companies can account for it. It now spans models, copilots, coding agents, internal applications and GPU capacity. Traditional FinOps tools can show what it costs, but not what it’s doing for the business, and that gap widens as agents take on more work. Ascerta closes it by connecting how people use AI and what it costs to the outcomes it drives. That shows leaders what’s working, what needs fixing and where to invest next.
展望未来。Ascerta将利用A轮融资扩展其平台和上市团队。它还计划将其集成扩展到所有主要企业AI工具，在已覆盖几乎所有工具的基础上进一步发展。
Looking ahead Ascerta will use the Series A to scale its platform and go-to-market team. It also plans to extend its integrations to every major enterprise AI tool, building on coverage that already includes nearly all of them.
随着企业运行数千个模型、代理和工作流，它们需要的不仅仅是对AI成本的了解。Ascerta正在将其在AI价值优化方面的研究转化为新产品，从衡量AI的价值迈向主动提升其价值。
As enterprises run thousands of models, agents and workflows, they need more than a view of what AI costs. Ascerta is turning its research in AI value optimization into new products, moving from measuring what AI is worth to actively improving it.
关于Ascerta。Ascerta是企业AI管理平台，通过衡量、优化和扩展AI价值，帮助企业向AI优先运营转型。Ascerta将AI成本和性能与业务成果相连接，为领导者提供持续、可信的视图，了解该在哪里行动、该在哪里加速。Ascerta获得了戴尔科技资本、日立创投、BGV和Wipro Ventures的支持。
About Ascerta Ascerta is the Enterprise AI Management platform that helps companies transition to AI-first operations by measuring, optimizing, and scaling AI value. Ascerta connects AI cost and performance to business outcomes, giving leaders a continuous, trusted picture of where to act and where to accelerate. Ascerta is backed by Dell Technologies Capital, Hitachi Ventures, BGV, and Wipro Ventures.
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