sanostro

Case Study: Fintech Web Development for Sanostro

Sanostro is an investment platform using quantitative simulations to support portfolio diversification. Django Stars converted a Matlab-based algorithm into a scalable web platform and automated simulations, data processing, and digital advisory workflows.
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sanostro
Team
5 members
Type
Investment Platform
Industry
Fintech/Investment
Platforms
Web

About the Project with Sanostro

  • Django Stars re-engineered Sanostro’s Matlab-based investment logic into a scalable, production-ready web platform.
  • The platform enables clients to run quantitative investment simulations, evaluate portfolio performance, and generate automated recommendations through a web interface and public API.
  • Sanostro needed to transform a consulting-driven, offline service into a digital product that could scale without increasing operational overhead.
  • The objective was to deliver a functional MVP, automate simulations and data processing, and expose results as actionable reports through a secure web platform.
About the Project with Sanostro

Challenges

Challenges
  • Automating data ingestion and simulation workflows
  • Enabling web-based access to investment simulations and analytical reports
  • Supporting flexible simulation inputs
  • Scaling advisory services by transitioning from in-person consulting to a robo-advisory model
  • Establishing a stable technical foundation for platform growth

Technology Stack

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We Delivered For Sanostro

  • Re-engineered the Matlab-based investment algorithm into a scalable web architecture
  • Implemented automated data processing and simulation pipelines
  • Exposed core platform capabilities through a public API for client integrations
  • Established a technical foundation to support a transition toward a scalable robo-advisory model
  • Designed and built a web platform for running investment simulations and portfolio analysis
  • Developed a reporting layer that generates analytical outputs
  • Enabled flexible simulation configurations using proprietary and clients’ data

Results of the Collaboration with Sanostro

  • Converted a previously offline, expert-driven investment service into a scalable digital product.
  • Eliminated manual data preparation and simulation workflows through full automation of analytics pipelines.
  • Enabled concurrent use by multiple institutional clients without degradation of simulation accuracy or performance.
  • Reduced operational dependency on in-person advisory by introducing a web-based and API-driven delivery model.
  • Improved consistency and reproducibility of investment recommendations by formalizing algorithm execution in software.
  • Lowered marginal service costs per client by decoupling growth from manual analytical effort.
  • Established a robust technical base for future expansion of robo-advisory and marketplace capabilities.

With custom fintech web development services, Django Stars supports financial firms in moving from bespoke, offline analytical workflows to structured web platforms that can be operated, scaled, and maintained over time. This helps address inherent constraints around manual execution, limited throughput, and the operational risk of running complex financial logic outside a production system.

Testimonials

The project management was good. Their initial estimates were upheld and we encountered no surprises. We had some delays in our project start date and when we finally started they were able to find good people that could do the job very fast.

5.0
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