No. While our primary specialization is financial software (Banks, Wealth Managers, Funds), we also partner with publicly listed companies and large enterprises on custom software, e-commerce platforms, and complex integrations.

Additionally, our quantitative model building and research services are sector-agnostic. We assist businesses in any industry that requires complex mathematical modeling, predictive analysis, or data simulation.

Yes. A large part of our work involves Modernisation. We build secure API layers that allow modern web and mobile applications to talk to older legacy mainframes, ensuring you get new functionality without replacing your entire backend.

Yes. We are a Mathematics-Led development house. Our team includes quantitative analysts and developers capable of building financial instrument price models, risk analysis tools, and automated trading strategies from first principles.

We move beyond basic chatbots. We build Agentic AI models that can autonomously analyze market data, execute workflows, and detect fraud patterns. We design AI agents that act as intelligent operators within your financial infrastructure.

To ensure accuracy, we typically require a Technical Discovery Phase first. Because we deal with complex financial logic and high-stakes infrastructure, we need to audit your requirements, compliance needs, and data architecture before we can commit to a timeline or budget.

We are priced as specialized financial engineers, not general web developers. Because we build “bank-grade” software that includes rigorous security, compliance, and mathematical validation, our engagement fees reflect that level of liability and expertise. We are the right partner for clients who view software as a capital asset, not a commodity.