We test AI technical claims
For founders before they go to market, for funds before they invest, and for enterprises before they buy.

About Us

What do we do, and what does that mean for you?

Everyone's AI is the best AI these days. Your investors hear it, your buyers hear it, and honestly, so do you. The result? It's nearly impossible to separate what a system does from what someone says it does. Sooner or later something forces you to face the issue: a diligence process, a security review, an enterprise buyer who wants to see the why behind the claim and not just the claim itself. Are you ready for that conversation?

This is where Nodora Partners can help. We've spent over a decade building and evaluating AI systems in production, for banking, the public sector, and venture-backed product teams, so we know what these systems can and can't do, and what they only look like they do.

When you need to know whether your technical story holds up, you get a straight answer from someone who has shipped, not just advised. If it holds up, we can hand you the evidence to prove it. If it doesn't, you'd rather hear that from us than from your next enterprise customer.

Our latest posts
Take a look at what we have been doing recently.
  • Are Frontier Labs Playing a Losing Game?
    Posted on:September 23, 2026 at 08:15 AM

    Why Founders, CTOs, CFOs, and Tech Leads should be paying more attention to what just happened at the AI frontier.

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  • Sovereignty, Europe, and the Future of AI
    Posted on:June 23, 2025 at 05:30 PM

    How open source will change (and maybe even save) the continent.

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  • DEGREE²: Efficient Extraction of Multiple Events Using Language Models
    Posted on:November 18, 2024 at 01:42 PM

    Nodora Partners' work on event extraction presented at FutureED, colocated with EMNLP 2024 in Miami, Florida

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  • Who's Who and Where's What
    Posted on:September 21, 2024 at 03:44 PM

    Dealing With Names and Addresses Around the World | PyData Amsterdam 2024 talk by Nodora Partners Founder Philip Blair | VIDEO

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  • Active Learning in the Era of LLMs
    Posted on:September 13, 2024 at 02:42 PM

    LLM fine-tuning is expensive. How can we fix that?

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  • JRC-Names-Retrieval: A Standardized Benchmark for Name Search
    Posted on:May 26, 2024 at 10:44 AM

    Nodora Partners' work presented at LREC-COLING 2024

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