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Robert Pisarczyk

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@R_Pisarczyk

Joined October 2026
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Robert Pisarczyk Verified account @R_Pisarczyk
From privacy-enhancing technologies to building our own LLM. Quite the plot twist.

If you’re curious how we got here, what makes Struct different, or why Jack is still traumatised by one of our AI bills 😅, check out this interview with my co-founder @jk_fitzsimons by @p_e
Jack Fitzsimons Verified account @jk_fitzsimons 23h
Had the pleasure of catching up with @p_e last week. We first met when he crushed a competitive programming competition in Bremen, Germany (circa 2012) and I've always been impressed by his work ever since.

So, needless to say it was a privilege to answer some questions for his substack: research.auditless.com/p/building-bla…

If you're interested in playing around with Struct yourself check out blatent.ai
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Robert Pisarczyk Verified account @R_Pisarczyk
Very excited to finally share what we've been building!

Today, we are launching Blatent Struct, our first language model. 🚀

One thing that's always bothered us about building with LLMs is how much engineering you need around the model. Getting an answer is one thing. Making sure it follows the right decision path, returns everything your application needs and doesn't break your business rules is another.

We wanted to change that.

Struct brings programmability to language models.

You can define complex, cascading decisions, conditional dependencies and exactly what each outcome must satisfy. You can also enforce business rules and permissions during inference.

And rather than stitching together multiple model calls, Struct can handle the whole decision tree in a single run.

We also spent a lot of time making sure this doesn't come at the expense of performance.

In our benchmarks, Struct achieves comparable accuracy to Claude Sonnet 5.5, at 11× the speed and over 100× lower estimated cost.

It's also over 2× faster than Jev, with higher average accuracy across 20 benchmarks. And on source-grounded extraction, it outperforms Cloudflare Clairic (87.5% vs. 81.7% across six benchmarks), at 62% lower estimated cost.

For me, the exciting part is what this enables: everything from document processing and customer support to agents that can make complex decisions while respecting the rules you've set.

This is just our first model, and there's a lot more to come.

I'd love for you to give it a try and tell us what you think. We're especially keen to hear what works, what doesn't and what you'd like us to build next.

🚀 Get started for free (up to 100m input tokens are on us) : blatent.ai
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