Power up your capabilities with custom financial software.

key benefits of custom financial software

Benefit from our financial analytics solutions that offer flexibility, faster deployment, and enhanced security. Our custom financial software is a low-cost alternative to on-premises software licenses, providing remote collaboration and attracting top talent. Faster deployment and iteration of applications reduce time to market and increase competitive advantage. Our teams of experts ensure data is secure, giving you peace of mind.

View a Demo here: Optimizer for Portfolio Management Services

Build your own intelligence

financial software development

Financial Analytics on Cloud

Custom Financial Software Development

Optimize Processes

Set up process rules and keep the business running as you intended. Measure your business performance and risk metrics.

Minimize fixed costs

Lower your infrastructure cost to — Zero. Businesses can simply initiate and quickly scale immediately. All while keeping their overhead costs low.

Manage risks with data

A systematic risk management approach is required to keep your business in check. The risk engine automatically provides updates on the dollar amount that is at risk.

Engage with visual results

Develop a dashboard and generate meaningful insights for your business. Focus on stakeholder engagement and let the automated system guides the discovery process.

Integrate familiar technologies

Customize your own solutions. Integrate & work with your familiar software, which may involve using APIs, web services, or other integration tools.

Generate signals and act

With automations, you can set alerts to recurring functions, allowing you to better manage your business and operate accounting and other operating functions systematically.

Enhance Your Financial Capabilities | Custom Financial Software

Data Analytics & Visualization

  • Data plotting with Java scripts, Python lib, and Excel
  • Multi-level vectorization for super fast simulations
  • Task and schedule automation
  • Python Scikit-learn and Numpy for data analytics and machine learning

Quantitative Finance

  • Functional and non functional programming
  • Structured arrays for asset allocation
  • Financial time series modeling and regression analysis
  • Parallel computing and the Monte Carlo Algorithm
  • Constrained optimizations

Data Management

  • API for Historical EOD data
  • API for fundamental data
  • Cloud-based interface built by Django
  • Security data management with Postgres database
  • Generate and export stock data in CSV

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