SPEEDNET

Speednet sp. z o.o. is a Poland-based software development company that provides technical services to the banking and financial services sector. The company’s registered office is in Gdańsk, Poland. Client work and portfolio descriptions indicate operations that include projects in Finland and deployments that reach customers across many countries (a content item references a content management project deployed to 90+ countries), implying activity beyond a single national market.

Services and Capabilities

• End-to-end digital product development for finance: design and delivery of web and mobile applications for banking and fintech customers, including app stores deployment and ongoing support.
• Mobile banking systems for retail and corporate clients: development and modernization of mobile banking clients aligned with security and regulatory requirements.
• Payments and integration: implementation and integration of payment solutions and third-party services (KYC, AML, core banking connectors) through a partnership ecosystem.
• Middleware and business logic layers: centralisation and orchestration of business rules across channels and backend systems.
• Content and customer management platforms: implementation and localisation of CMS and CRM systems with multilingual support and large-scale content deployments.
• Digital lending systems: solutions supporting loan and mortgage journeys from origination through servicing.
• Delivery acceleration and tooling: provision of ready-made software components, automation of software development lifecycle steps, predictive costing and risk models, and AI governance processes.

Industry Focus

• Banking: modernising legacy banking systems, delivering mobile banking applications, and supporting regulatory compliance and scalable operations.
• Fintech: building multi-institution platforms, microservices-based architectures, and product-ready systems that facilitate rapid scaling and integration with financial partners.
• Insurance and insurtech: digitising sales and servicing workflows and developing or modernising core insurance engines.

Technology and Delivery Approach

• Architecture and integration: use of microservices and middleware layers to separate business logic, enable integrations with payment and core-banking providers, and support scalable deployments.
• Automation and delivery tooling: an AI-driven software development lifecycle framework is described as part of delivery tooling to automate governed, context-aware steps of development and increase delivery velocity.
• Data and predictive methods: predictive modelling is applied to estimate costs and risks using historical project data; analytics appear in planning and cost-risk assessment.
• AI governance and model validation: processes for validating AI components and managing regulatory aspects of AI usage are incorporated into delivery practices.
• Delivery process and support: projects are executed using iterative, roadmap-driven plans with post-release maintenance and support services.