ScienceSoft

We are proud to share that ScienceSoft is included in the annual Inc. 5000 list of the fastest-growing private companies in the US for the second consecutive year! At ScienceSoft, we create strong partnerships with clients to win and grow together 🚀 A full press release: https://lnkd.in/eVEVFT9F

Why are BFSI market players still reluctant to adopt AI? The costs are ❌ no longer an issue thanks to the wide availability of secure AI tools by Amazon and Microsoft, and yet many of my clients in finance ❗ still hesitate to automate their processes with AI. Here’s what they’re worried about: ⚠️ Insufficient accuracy of AI-delivered insights In finance, where a single error can cause billions in losses, the bar for AI accuracy is exceptionally high. It can be hard to achieve precision above 90%, especially for complex workflows such as borrower risk assessment or investment performance prediction. 🔍 Opaque AI's decisioning logic The sophisticated logic of AI models can be hard to explain, which raises legal concerns associated with opaque AI decisions and the inability to prove fair business practices. ⚖️ Precision vs. explainability tradeoffs Making AI fully explainable often comes at the expense of accuracy, and that tradeoff is unacceptable to most of my clients. Maximizing both the precision and the interpretability of financial AI is challenging but doable. For example, in one of ScienceSoft’s recent BFSI projects, our team delivered 🏆 fully explainable and compliant AI algorithms for fraud detection showing 95% accuracy. How did we make it happen for finance? 1. We engineered hybrid AI models combining black-box deep learning algorithms (CNNs) with interpretable machine learning algorithms (LightGBM, XGBoost). This way, we secured both high AI accuracy and sufficient transparency needed for compliance. 2. To ensure AI compliance from the onset, our consultants elicited regulatory requirements early on and translated them into detailed AI logic requirements guiding the model design. 3. Our data scientists optimized and fine-tuned model hyperparameters to prevent under- and overfitting, i.e., incorrect model reasoning that might result in analytical errors. 4. We trained AI models to avoid automation for complex cases and route questionable tasks for manual handling. This would prevent contextual misinterpretations and unintended machine biases. Want to learn more about how to implement AI in finance? Check out our dedicated page on maximizing accuracy in financial software (link in the comments 👇) #financialservices #financialsoftware #fintech #AI ScienceSoft

Check out the major capabilities of Electronic #Laboratory Notebook and how custom development costs vary depending on solution complexity. By ScienceSoft, since 2005 in #healthcare IT: https://lnkd.in/ecVWRQg4  #Custom #LaboratorySolutons

Legacy systems shouldn’t hold you back. Learn how ScienceSoft ensures seamless integration between old and new systems, preserving business continuity while unlocking new possibilities: https://lnkd.in/ecjTcq6p #legacyapps #applicationintegration #modernization

❓ Could tokenized real estate outplay traditional property investment vehicles? The global market for tokenized real estate is relatively young in 2024, but according to research by my colleagues at ScienceSoft, by 2030, it will soar to 🚀 $3 trillion and represent 🏢 15% of the real estate assets under management. Here are the key research findings that convinced me that tokenization will transform real estate investing by the end of this decade: 1. In 2023, 80% of high-net-worth (HNW) and 67% of institutional investors were already investing or planning to invest in tokenized assets. 2. By 2026, institutional investors plan to allocate 5.6% of their portfolios to tokenized assets, and HNW individuals — 8.6%. Both segments cite real estate as their second most attractive tokenized asset investment option. 3. Current US legal frameworks treating real estate tokens as securities are evolving, promising to unlock higher demand for investments in tokenized estate. 4. Tokenization technology is mature enough to develop solutions for a secure and cost-effective real estate token offering. It’s projected to reach mainstream adoption in 2–5 years. 5. The number of tokenization service platforms worldwide grew by 75% in 2023 alone. Of these, 38% were registered in the US, with 37% focused on real estate. 6. The surveyed real estate leaders believe that tokenization has a strong potential for development, but the residential sector will hold the market back in the mid-term. 7. 55% of real estate sellers have already launched or are piloting tokenization solutions. Pioneers like Elevated Returns and RealT proved the technical and economic feasibility of real estate tokenization. 8. Today, real estate tokens are mainly traded on their primary issuance platform. However, solutions for token interoperability across marketplaces are in the works (for example, a cross-network token transfer solution by Swift and Chainlink Labs). 📃 Check the full report to explore these insights further (link in the comments 👇) Will tokenized real estate become the #1 property investment option by 2030? I’d love to hear your thoughts in the comments! Raoul Pal, Henri Arslanian, your take is much appreciated here. #realestate #investment #tokenization #blockchain

We’re excited to share that ScienceSoft has been recognized as one of America’s Most Reliable Companies 2025! 🎉🏅 This prestigious honor, awarded by Newsweek in collaboration with Statista, places us among the top 300 US companies celebrated for delivering consistent and high-quality results, building sustainable partnerships, and offering value-driven solutions tailored to clients’ needs.   A heartfelt thank you to our clients for their trust, which inspires us to keep raising the bar, to our partners for their invaluable collaboration, and to our incredible teams whose dedication and hard work made this achievement possible 💪! Read more about this inspiring milestone: https://lnkd.in/eMDKUjJt

ScienceSoft has released its proprietary research exploring the potential of wearable devices in preventive healthcare for the geriatric population. Supported by data from statistical platforms, consumer surveys, and scientific research, the report predicts that within 5 to 10 years, one in two older adults will use wearable devices daily to forecast life-threatening risks. 👉 Visit https://lnkd.in/eNQffw-n

We’ve received a testimonial from Projecis, Inc. We assisted them with enhancing and #supporting their #project #management #software #product: 

Health insurance #automation can help reduce operational costs, but software TCO may become a new 📉 budget drain if not managed well, ScienceSoft's insurance IT consultant Olga Vinichuk says. Read the full interview to learn 💰 cost-saving digital features and ways to optimize health #insurance personnel and IT spending 👉 https://lnkd.in/eC2fApFe #healthinsurance #insurtech #IT #software

By 2030, the global market for tokenized #realestate will reach 🚀 $3 trillion and represent 15% of the real estate AUM, ScienceSoft's research team predicts. Discover the key drivers and hindrances of the 🏨 real estate #tokenization market and learn how our prediction will affect your business 👉 https://lnkd.in/evb8dE3r