Autonomous AI agents are here but most enterprises aren’t ready. 95% of AI pilots fail. Not due to tech, but poor architecture. Without agent-ready data, enterprises risk wasted investment and stalled innovation. Our new blog series shares the blueprint for success. Check out the

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We're proud to announce that Unstructured has officially achieved CMMC 2.0 Level 2 Certification with a perfect 110/110 score and zero findings. This milestone reflects our unwavering commitment to national security and data integrity, meeting every NIST SP 800-171 control with

SCORE scales with the future of Document AI. Learn more about it by reading the paper: https://t.co/skn8u2YpWY #DocumentAI #VLM #AIevaluation #Benchmarking #UnstructuredIO #SCORE

That’s why we built SCORE — Unstructured’s semantic evaluation framework for generative document parsing. SCORE measures semantic correctness without punishing structural variation — ensuring evaluation evolves in step with the models themselves.

Yesterday I went viral for the first time - thank you! Over 1,500 people asked for access to our new tool. I'm having trouble replying to everyone. Because of the overwhelming response, I want to upgrade the first 500 people. Full access to our $300/mo plan for $30 (90%off).

That mismatch is widening with every new model release. As VLMs produce richer, higher-fidelity outputs, outdated evaluation frameworks will increasingly misjudge quality and obscure real progress.

Modern VLMs can interpret documents with nuance and context, generating multiple valid structures that preserve meaning. Yet the industry still relies on OCR-era metrics built for more basic systems — metrics that assume one “right” answer and penalize representational diversity.

Vision Language Models have revolutionized how we parse documents — so why hasn’t the way we evaluate them? 1/🧵

Change is not imposed but co-created: Leaders who blend complex strategies with soft empathy, navigating resistance through arenas of dialogue, turn inertia into innovation.

T-minus 2 hours til we're live! 🥳 Join today’s webinar to learn how to design RAG strategies that *actually* scale. Plus, stick around for a live Q&A with @CryptoKevy + @Aj_Krish23 . Can’t make it? Register anyway and we’ll send the recording after! 😎 🔗

@IBMwatsonx @IBM What stands out most to you? Let us know your thoughts below! And check out the full session with @DD_Unstructured @PaulCornel60267 and Stevan Slusher here:

@IBMwatsonx @IBM The difference between good and great AI comes down to how well your data is managed. That’s what we’re building together 💪

@IBMwatsonx 5⃣ @IBM's agentic framework taps into Unstructured’s extracted data to power use cases across HR, procurement, and support.

Just added image reference mode 💜 Used another photos as references for your photoshoots - go try for free!

@IBMwatsonx 4⃣ Unstructured transforms 70+ file types into structured data that @IBMwatsonx activates instantly.

@IBMwatsonx 3⃣ Better models start with less LLM dependency. Unstructured’s integration with Docling improves accuracy on complex docs like tables and handwriting.

@IBMwatsonx 2⃣ @IBMwatsonx and Unstructured are better together, pairing infrastructure strength with deep document intelligence.

@IBMwatsonx Here are 5 key lessons from the conversation 👇 1⃣ The unstructured data crisis is real. Over 80% of enterprise data is unstructured, and 60% of AI projects without AI-ready data will fail by 2026.

“The loss of any life is tragic. No SPOG member uses deadly force unless it is absolutely necessary to protect lives and safeguard the community.” - Mike Solan, President Seattle Police Officers Guild.

In last week’s joint session with @IBMwatsonx, we explored what it really takes to build reliable RAG pipelines at enterprise scale. The takeaway? You can’t fix unreliable outputs with bigger models; you fix them by improving the data that feeds them.

AI is only as strong as the data it’s built on. 1/🧵

There’s a new RAG technique every other week. Hybrid Search. Rewriting. Re-ranking. Agents. And while each solves something important, it’s easy to get overwhelmed — or worse, stuck trying to memorize patterns without knowing when to use them. So let’s slow down, break things