10 | Wealth & Finance Q1 2024 Best FinTech Software Development Company 2026 – USA To begin, please tell us more about the origins of ScienceSoft and what you deliver to your clients. We started as the exclusive software development partner of the NILIM Cooperative (later IMC), whose pioneering AI product was among the first of its kind commercially available. Together, we helped deliver AI software used by Motorola, Procter & Gamble, Unilever, and other global leaders. Following IMC’s acquisition by IHS Inc. in the early 2000s, ScienceSoft became a fully independent company in 2002. At that point, we strategically narrowed our focus to a handful of regulated industries. We entered the financial IT market in 2005, and over time, financial services became one of our major industry directions, especially investment management and insurance. Today, much of our work in these sectors is centered on AI transformation. And by that, I don’t mean just adding AI assistants to the existing tool stacks. Sometimes that is useful, but it is not transformation. To us, AI transformation starts when you look at how work is organized: how decisions are made, how data moves, where experts lose time, where customers wait, and where the current operating model is no longer fast or flexible enough. Depending on the client’s ambition, we may transform a specific process, such as investment planning or portfolio management, claims handling, or fraud detection. Or we may support a broader redesign of digital operations across the firm. What kind of solutions do you provide to support full business transformation? In fintech, we focus primarily on operational solutions for investment and insurance companies. That includes systems for workflow automation, decision support, data visibility, analytics, customer self-service, and digital engagement. We also build AI components: agents, copilots, machine learning models, data pipelines, APIs, and integration layers that enable enterprise AI transformation. for us, “cutting edge” is not about chasing every trend. It is about testing new technologies early enough to understand where they work, where they fail, and what kind of controls they need before they go anywhere near production. That principle is central to how we work. ScienceSoft’s Architecture and Solutions Center of Excellence runs internal research into emerging technologies and architectural patterns. Recently, that work has included agentic AI scenarios in investment research and insurance fraud detection. Regulation is part of the same conversation. Our compliance team monitors requirements and expectations from bodies such as the SEC, FINRA, GLBA, NAIC, and NYDFS, as well as emerging AI governance practices. In regulated industries, anything “new” is not a virtue but an added risk. So, before we recommend a new technology to clients, we need to know how it will stand up to compliance review. At its core, what is your company culture like? ScienceSoft’s roots as an AI company shaped our culture of innovation from the very beginning. We encourage our teams to challenge assumptions, explore new technologies, and look beyond conventional approaches. That mindset is especially important now, when AI is evolving quickly and established best practices become outdated fast. How would you describe the future of ScienceSoft? The next chapter of ScienceSoft’s growth will be defined by strengthening our leadership in AI-powered transformation across investment management and insurance. We see the greatest near-term opportunity in redesigning business processes around AI in a predictable, risk-aware way. To support this direction, we continue investing in specialized talent. We’re expanding our pool of financial domain consultants, AI experts, solution architects, data engineers, and project managers who can lead complex AI transformation initiatives from strategy through execution. We’re also growing our capabilities in enterprise AI governance and AI-enabled delivery. These areas are becoming increasingly important as financial institutions move from pilot projects to enterprise-scale AI adoption. We also see big growth opportunities across international markets. Over the past decade, ScienceSoft has established itself as an investment software development company serving clients well beyond North America. Going forward, we plan to further expand our AI engineering and wealth management software development practice in the GCC region, with a strong focus on local market requirements, client expectations, and regulatory frameworks. While financial software development services remain core to ScienceSoft’s business, we increasingly view them as part of a larger transformation agenda. Where we’re heading is helping investment and insurance organizations navigate large-scale AI transformation programs and turn AI into a governed, high-yield business capability. Contact: Nick Kurayev, CEO Company: ScienceSoft Website: https://www.scnsoft.com/ ScienceSoft is a global AI transformation and software engineering company founded in 1989. For nearly four decades, it has helped organizations use technology to change how they operate, compete, and grow. We learn more from CEO Nick Kurayev below, in light of its recent recognition.
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