Case study on fintech

Challenges: Eventhough the boot-strapped startup’s founders provided the key functional expertise and product direction, they faced significant challenges

  • Difficulty in translating complex financial strategies into software algorithms
  • Lack of knowhow to execute product vision and roadmap
  • Limited resources for a full product build-out
  • No exposure to the complexities of software development
  • Lack of skills and technological expertise in designing sophisticated software applications
  • Personalization with cognitive insights

Solution: coMakeIT offered the startup a unique, collaborative partnership model to build and support their trading platform, and provided the following

  • Difficulty in translating complex financial strategies into software algorithms
  • Lack of knowhow to execute product vision and roadmap
  • Limited resources for a full product build-out
  • No exposure to the complexities of software development
  • Lack of skills and technological expertise in designing sophisticated software applications
  • Personalization with cognitive insights

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Product highlights

  • A cloud-based, algo-trading platform for automated execution of signal-based investment strategies
  • Investor-friendly tools for analysis of return, risk, and investment strategies
  • Seamless linkage of all trading parties including signal providers, investors, and brokers
  • Self-investment platform for options, commodities, and equities
Fintech Case Study 1

Technology Highlights

Scalable platform with flexible, modern architecture

Java technology stack with PHP and MySQL

Lightstreamer with JMS for real-time data streaming

Business Impact

Rapid validation of product direction and technology choice through MVP

Gained quick traction in the Benelux and North American markets with hundreds of live customers

Reduced go-to-market time for the state-of-the-art SaaS solution

Reduced technology, engineering, and execution risks with a unique, collaborative model