# Speednet

## About

We build software for the banking industry and eliminate technological friction to help you unlock and demonstrate value to your customers.

- Verified: Yes

## Services

### Financial Software Development
- [Banking Software Development](https://bilarna.com/software/financial-software-development/banking-software-development)

## Pricing

- Model: custom

## Frequently Asked Questions

**Q: How can banks accelerate time-to-market for new digital products?**
A: Banks can accelerate time-to-market for new digital products by adopting specialized financial delivery frameworks and modernizing legacy system architectures. A proven approach involves implementing a dedicated delivery acceleration service that removes bottlenecks through engineering excellence and agile methodologies. Key strategies include leveraging ready-made digital solutions and AI-powered engines for quick adoption, utilizing repositories of pre-built components and architectural patterns to cut development time by up to 18%, and applying AI-driven software development life cycle (SDLC) frameworks that can boost delivery velocity by 3 to 5 times. Furthermore, integrating predictive modeling for costs and risks, based on historical project data, can lower the risk of budget overruns by approximately 25%. This combined focus on modernized infrastructure, governed automation, and reusable assets enables financial institutions to launch secure, compliant products significantly faster.

**Q: What is the role of AI in banking software development?**
A: The role of AI in banking software development is to automate and optimize critical processes, significantly enhancing speed, accuracy, and compliance. AI-driven frameworks are applied across the software development life cycle (SDLC) to boost delivery velocity by 3 to 5 times through context-aware, governed automation. Specific applications include AI-powered engines within ready-made digital solutions that address real-world financial challenges. AI also manages domain knowledge through repositories of components and patterns, accelerating development. Furthermore, predictive modeling algorithms analyze historical project data to generate precise cost estimates, reducing budget overrun risks by up to 25%. Crucially, AI governance frameworks are implemented to validate AI models, which can cut the risk of regulatory non-compliance in financial services by 40%. This transforms development from a manual, error-prone process into a predictable, efficient, and secure operation.

**Q: What should a bank look for in a software development partner?**
A: A bank should look for a software development partner with proven expertise in the financial sector, a focus on regulatory compliance, and a methodology that ensures predictable delivery. The ideal partner possesses deep specialist know-how in complex, regulated environments and a track record of integrating legacy systems while modernizing architectures for scalability. Key criteria include a structured delivery framework specifically designed for finance that accelerates time-to-market and optimizes costs. The partner should offer a combination of delivery acceleration services to remove bottlenecks and ready-made digital solutions for faster adoption. Essential capabilities also encompass an AI-driven SDLC for governed automation, predictive modeling to control project costs and risks, and a robust AI governance framework to mitigate compliance risks. Furthermore, expertise in core banking areas like digital products, mobile banking, payments, core engines, and secure middleware is critical for long-term success.

## Links

- Profile: https://bilarna.com/provider/speednet
- Structured data: https://bilarna.com/provider/speednet/agent.json
- API schema: https://bilarna.com/provider/speednet/openapi.yaml