Kindgeek

Happy New 2025 🎊 🥂 As we step into a new year, let's try to fill it with growth and success! At Kindgeek, we are inspired to strengthen relationships with our respected customers and are always open to new connections and opportunities! We continue to prove our commitment to be a platform for positive change for everyone interested in fintech!

Well, this moment of summarizing has come! We are happy to share our achievements with you! Let's look back at 2024 with Kindgeek! ⬇️ 🎄

Dear clients, teammates, and colleagues! Kindgeek wishes you Merry Christmas! 🌲 Sending you a joyful holiday filled with warmth, love, and moments to cherish. May this season bring happiness to your homes, success to your ventures, and peace to your hearts! Let’s continue to shine like a northern light together! To innovate, create, and grow in the year ahead! Thank you for being part of our journey and for your trust!

🎉 Big news for the Kindgeek team! We are happy to announce that Kindgeek has been recognized in the TOP-1000 Companies of 2024 by Clutch! Being listed among top-performing IT companies is a true milestone for us! We couldn’t have achieved this without our dedicated team, respectful clients, and shared belief in creating exceptional fintech solutions. This recognition motivates us to continue driving industry innovation and proudly represent Ukraine in the global tech arena!

In the previous post, we started discussing fintech and LLMs: exploring their interaction points and the benefits large language models bring to the industry. Today, we propose diving deeper to examine the interaction between fintech and LLMs from an analytical perspective. Let’s explore the types of analysis where LLMs can be particularly useful for fintech ⬇️ 📑 Document analysis: banks and insurance companies use LLMs to analyze contracts, compliance documents, and financial statements quickly and accurately. This option will greatly help avoid significant mistakes that can affect operational processes and even the institution's reputation. 🔮 Predictive analysis: LLMs analyze historical data to predict trends, helping institutions make informed decisions about credit risk, market behavior, and portfolio management. 👨 Sentiment analysis: LLMs process customer feedback, reviews, and social media mentions to gauge public sentiment about financial products, services, or market trends. This insight helps financial institutions adapt their offerings and improve customer engagement.

Adaptability and the ability to implement cutting-edge technologies are undoubtedly a plus for any niche. Of course, #fintech is no exception. In this post, we will look at the interaction between #LLM and fintech, as well as the advantages. Fintech, an industry driven by innovation, benefits significantly from the analytical and generative capabilities of LLMs. They bridge gaps in understanding complex financial data, enhance automation, and enable scalability of services, making financial solutions more accessible and efficient. By integrating LLMs, fintech companies can not only optimize existing processes but also innovate new solutions to meet evolving customer needs. Find more in the carousel! 👉

Personal finance management (PFM) apps have become a trend for those aiming to improve their financial literacy. With rising demand, the market offers excellent examples like Mint, Empower, and Tiller Money. Why does using these apps make sense? First of all, they help users make informed decisions, avoid unnecessary expenses, and achieve financial goals effectively. Additionally, these apps can positively change financial habits – 62% of users report improved behavior after regular use. At Kindgeek, we’ve also developed a PFM app – WiseWallet! With AI integration, WiseWallet provides a seamless user experience, supports various types of transactions, offers personalized analytics, and allows customization to suit individual needs. And that's not all 💪 Try it now! ▶️ App Store https://bit.ly/3XXDQTS ▶️ Play Market https://bit.ly/3zAkdqK 📩 Also, subscribe to our news Telegram channel for all updates about WiseWallet: https://lnkd.in/dyyepXxf

We attended the ECOM21 conference – the top fintech gathering, held on November 27-28 in Riga, Latvia. Kindgeek was represented by our amazing dream team: 🧑💻 CTO Michael Kramarenko 💻 Project Manager Valeriia Zamyatina 🤝 Delivery Manager Roxie Slavych 📈 Business Analyst Anastasiia Miedviedieva These were two days full of valuable industry insights, effective networking, incredible people, and vibrant energy! We’re grateful for the opportunity to be part of such an event!

Компанія Kindgeek виділить 500 000 гривень аби комплексно забезпечити 4 бойові бригади ЗСУ. Дякую Come Back Alive та Львівській міській раді за організацію проєкту «Зброєносці» завдяки якому Kindgeek робить свій внесок у забезпечення військових, які зараз тримають оборону на передовій, зокрема, на Донеччині. Підтримуємо збір щоб закупити озброєння, засоби радіоелектронної боротьби, нові пікапи та різні типи дронів. Це необхідно для ефективнішої боротьби, мобільності, та головне – збереження життів. Закликаю долучатися до проєкту інші компанії і стати зброєносцями для тих, хто захищає нас. Всі деталі про проєкт «Зброєносці» – за посиланням https://lnkd.in/g_EXXgVZ

🔐 Recently, the world marked Computer Security Day! We want to remind you once again that information security is a priority for us as a company and encourage you to prioritize it in your daily life as users too. Here are a few tips to help you stay safe in the fintech landscape: 🔒 Use strong passwords: Your password should be at least 12–16 characters long, combining letters, numbers, and special symbols. Avoid reusing passwords across multiple platforms. 📲 Enable two-factor authentication: Add an extra layer of security using SMS codes, authenticator apps, or biometric verification. 📩 Beware of phishing attacks: Always verify the sender’s identity when you receive emails, messages, or links requesting personal or financial information. 🔍 Monitor your accounts regularly: Check your transaction history frequently to spot any suspicious activity early.