Author: Maryia Puhachova
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How Embedded Finance Changed Fintech
The Revolution Inside Your Favourite App Made By Embedded Finance Ever noticed how you can buy, pay or even get a loan without leaving the app you are using?That’s embedded finance, the force that changed fintech more than so many technology trends in the past decade. What started as a “pay in one click” experience…
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Software Development Pricing Model: How To Choose Right For Your Project
Money is still a sensitive topic, and software development is not an exception. You can have a brilliant product idea, a strong team and clear goals, but the moment you get to “how much will it cost?” things might get blurry. The way to choose the right pricing model is the way of finding a…
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How Prediction Models Shape Modern Media?
Explore how prediction models are transforming media in 2025 — from ensemble systems to smarter audience insights.
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Scoring vs. Lerpal: Not A Fight But A Relationship
Scoring models may decide in milliseconds, but the quality of those decisions comes from months (and often years) of engineering, iteration and late-night debugging. And here’s the thing: scoring is the core of the fintech lending business. The ability to predict repayment probability and to do it reliably is what defines margins, risk and competitiveness.…
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When the Law Blinks, Tech Has Already Moved On
By the time you finish reading this article, someone, somewhere will have pushed a new AI model update into production. The models that power our apps, shape our feeds, and process our data are changing at a pace no regulator has ever had to match yet. And that is the current paradox: AI compliance is…
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When Numbers Decide Billions: Scoring Models in FinTech
Sometimes, the most important decisions in fintech don’t happen in boardrooms. They happen invisibly in milliseconds. A card swipe in Paris, a loan request in São Paulo, a new account opening in Warsaw – each of these triggers the same process: a scoring model deciding whether money moves or stops. For the customer it looks…
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Ai4 Vegas – How Did It Really Go?
Long story short: it was big, loud, well-organised, full of interesting companies presented and dedicated people worth meeting. And yes, the boxing robot (that we think had Usyk as his inspiration) might still be one of our favourite memories. Now to the details The opening keynotes felt like a stadium show with all the screens,…
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Your LLM Is a Perfect Spy (And Why Prompt Engineering Won’t Save You)
Since our latest article was about data leaks we had no other choice except to deep dive into this topic. That piece looked at it from the outside: what they are, why they happen, and who’s responsible. This one goes inside: into the architecture, the safeguards and the day-to-day practices we use at Lerpal to…
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Leaked Tokens, AI And The “Who’s Responsible?” Moment
Imagine you are a hacker (only in your imagination, please!), and you’ve just stumbled onto an open database of a promising AI startup. In it, you’ll find internal logs, user queries and hundreds of thousands of authentication tokens just sitting there, begging to be misused. That happens way more than you’d think. In a recent…
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How LLMs Are Actually Being Used in Mobile Apps
Oh no, another AI article? Well, yes, and a useful one. Since (like it or not) we are now living in the age of industrial-grade AI, if you are building mobile products, it’s something you might have to deal with hands on. AI is already inside the apps on your phone, shaping how they work,…