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Freedom251 › Blog › AI management

Pay-i Rebrands as Ascerta, Raises $18M to Track AI Business Value

By Freedom251 Team · · 3 min read

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Pay-i is now Ascerta. The Bellevue-based enterprise software company announced the rebrand on September 30, 2026, alongside an $18 million Series A led by Dell Technologies Capital. Ascerta says it is expanding beyond AI cost management to help organizations measure AI adoption and connect spending with business outcomes. Those are the company’s stated goals, not independently verified product results.

What changed—and how much funding Ascerta raised

Ascerta’s September 30 announcement says the company formerly known as Pay-i raised $18 million in a Series A led by Dell Technologies Capital. Hitachi Ventures, BGV, Wipro Ventures, and existing investors FUSE, Tola Capital, and Gaia Ventures also participated. Ascerta’s press announcement puts total funding at $22.9 million. Ascerta’s announcement and GeekWire’s report give those central transaction figures.

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The same-day company blog uses slightly different rounded figures: $18.1 million for the round and $23 million in total funding. The available accounts do not explain the difference, so it is best understood as a reporting or rounding variation rather than a separate financing event. Ascerta’s blog contains the alternate figures.

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GeekWire reports that the company was founded in 2024 by Microsoft veterans David Tepper, Doron Holan, and Erik Winters. It also says Pay-i launched in May 2025 with a $4.9 million seed round.

What Ascerta says its software does

Ascerta describes its shift as a move from AI cost management toward “Enterprise AI Management.” Its stated aim is to give companies a view of AI costs and usage, then associate that activity with business KPIs. The practical question it is trying to answer is not only how much AI a company uses, but which initiatives appear valuable enough to continue or scale.

The company says its software can connect to enterprise AI in use, including homegrown applications and tools such as Microsoft Copilot, Amazon Bedrock AgentCore, Salesforce Agentforce, GitHub Copilot, Claude Code, and Codex. It says customers can track adoption by person, team, and tool and relate use cases and costs to business measures. These are Ascerta’s descriptions; the announcement does not establish independent testing of coverage, accuracy, or business impact.

Atlas, Forge, and Convoy

Product Ascerta’s stated focus
Atlas Measuring AI value, adoption, and ROI across workflows or portfolios.
Forge Understanding coding-agent use and productivity in engineering teams.
Convoy Helping organizations understand and use provisioned capacity.

The company announcement names these products but does not provide independent comparisons, measured performance results, or enough detail to assess how they work against alternatives.

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What the reported customer results do—and do not—show

Ascerta says it works with Atos, Wipro, and global insurance carriers. It also reports three customer outcome figures: 47% improved ROI on AI initiatives, 24% reduced agent launch times, and 86% less wasted AI spend. The company’s announcement presents these as outcomes across customers.

These figures are company-reported claims. The cited announcement does not provide methodology, baselines, sample sizes, or customer-by-customer attribution, and the figures are not independently verified in the available coverage. They should not be read as guaranteed results or as a general estimate of what enterprises can expect.

In the announcement, Ascerta CEO and co-founder David Tepper says, “The market is full of meaningless vanity metrics,” while Atos Group CTO and Chief AI Officer Florin Rotar says, “That requires measurable business value, not just technical capability.” The latter is a customer testimonial, not an independent evaluation of the product.

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Why the rebrand matters to enterprise buyers

The name change signals a broader pitch than monitoring AI bills. Ascerta is positioning itself around the connection between AI activity and business value: identifying who uses which tools, what those tools cost, and whether the related work supports a company’s chosen KPIs. That could help an organization organize oversight across a growing mix of AI tools and internal applications.

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But tracking metrics is not the same as proving causation. A buyer assessing software in this category would need to understand how it attributes costs, defines adoption, covers the tools and agents actually in use, and links AI activity to outcomes without overstating what the data can establish. Ascerta’s announcement describes its intended functions; it does not, by itself, demonstrate that those measurements reliably prove AI-driven ROI.

Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.

AI managementArtificial IntelligenceAscertaEnterprise SoftwarefundingPay-i

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