Tundra
LANCER
Lancer :
Ideal for quick, focused engagements
Team: ≤ 2 resources
Duration: ≤ 3 weeks
Indicative Budget: ≤ $3,000 USD*
Use Cases: MVPs, prototypes, simple websites, bug-fix sprints
Indicative Pricing: ~$15–$25/hr per resource*
Growth :
Best suited for growing products or structured builds
Team: 2–5 resources
Duration: Up to 4 months
Indicative Budget: Up to $30,000 USD*
Use Cases: Feature-rich web apps, integrations, custom dashboards
Indicative Pricing: ~$15–$35/hr per resource*
Enterprise :
Tailored for high-scale, complex or long-term initiatives
Team: 5+ resources
Duration: More than 4 months
Indicative Budget: Starts from $30,000+ USD*
Use Cases: End-to-end platforms, SaaS products, compliance-heavy systems
Indicative Pricing: ~$25–$50/hr depending on roles*
(Development)
Project Description
Azure Tide Holdings partnered with us to develop Tundra, a Python-based SaaS platform tailored for financial service institutions. Designed for immersive analysis and operational efficiency, Tundra automates financial modeling, risk assessment, and forecasting tasks using powerful backend computation. The solution supports banking professionals by transforming raw financial data into actionable insights, all in a secure and responsive environment.
Scope Of Work
The client required a robust, web-accessible Python application to power intelligent financial services under a SaaS model. The application needed to handle data ingestion, modeling, simulation, and visualization with high reliability and speed. Key functional areas included budgeting tools, credit risk analytics, and dynamic reporting dashboards. The platform also needed integration with external APIs and secure user management for multiple clients.
Our Solution
To deliver the Tundra platform as envisioned, our team implemented the following:
- Built a scalable Python backend for advanced financial computation and simulations.
- Developed a multi-tenant SaaS architecture with secure role-based access.
- Integrated real-time data visualization modules using interactive charting libraries.
- Enabled external API integrations for banking data, credit scoring, and compliance checks.
- Implemented cloud-based hosting with containerization for performance and scalability.
- Delivered dashboards that allow financial advisors to model and compare forecast scenarios.
- Applied modern DevOps practices for continuous integration, testing, and secure deployment.
- Created a responsive frontend interface for both desktop and tablet banking users.
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