How Much Will Your Lending IT Project Cost?
Explore the cost of your digital initiative with our specialized cost calculators and learn whether ScienceSoft’s pricing aligns with your budget.
Thanks to the transparent, adaptable pricing models, our services have proven accessible to lending organizations of all sizes, from startups to major national institutions.
Cost Calculators by Solution Type
Click on the card to reach the cost calculator for your required solution type.
Core lending operations solutions
Borrower-facing solutions
Value-adding technology solutions
Explore Our Sample Cost Ranges
Lending software engineering costs
- $120,000–$250,000 A native mobile lending app built on the existing back end.
- $150,000–$400,000 A web-based borrower app (e.g., self-service portal, a lending platform interface).
- $250,000–$600,000 A specialized operations solution for a particular type of loans featuring traditional automation with static and ML-powered analytics (e.g., loan origination software, loan servicing software).
- $400,000–$1,000,000+ A peer-to-peer lending platform that includes a loan processing engine and role-specific interfaces.
- $500,000–$1,500,000 A custom system that automates end-to-end operations across a particular lending domain (e.g., consumer lending, commercial lending, mortgage).
- $500,000–$1,500,000+ A fully-featured lending blockchain system that comprises a multi-party transactional network, automation smart contracts, and role-specific apps.
- $2,000,000+ A large-scale loan management system that offers automation, analytics, and assistive features powered by AI, including GenAI. Major cost drivers include the number of supported lending types and products, the complexity of integrations, as well as compliance requirements across service regions.
Data analytics and AI service costs
- $30,000–$250,000 Engineering a niche data analytics component (e.g., predictive analytics models, fraud detection algorithms, an optimization engine). The final cost will depend on the chosen type of algorithms.
- $100,000–$250,000 Implementing a statistical analytics platform for a particular lending area (e.g., underwriting, compliance, servicing).
- $250,000–$500,000 Building an area-specific predictive analytics solution powered by tailored statistical and non-neural-network machine learning models.
- $300,000–$600,000 Developing a business intelligence (BI) solution that calculates KPIs across multiple lending business areas (operations, finance, CX, etc.) and features intelligent diagnostic and predictive analytics.
- $500,000–$1,200,000+ Creating a large-scale, real-time lending analytics system powered by AI/ML, including deep learning and generative AI.
Security and compliance costs
- $10,000 One-time penetration testing of a borrower-facing app (e.g., a portal, a mobile lending app).
- $8,000–$16,000 Code review of an internally used lending solution (e.g., loan origination software, a debt collection tool).
- $10,000–$20,000 Compliance pre-audit (against GLBA, CCPA, NYDFS, GDPR, SAMA, or other regulatory frameworks).
- $20,000 Network security testing for a mid-sized lending company.
- $40,000+ A phishing campaign combined with white box lending IT infrastructure pentesting.
- $45,000 QRadar implementation and user training for a lending organization with 1K–10K employees.
QA and testing costs
- $5,000 One-time performance testing for a mobile lending app.
- $24,000–$72,000+ Audit of lending software QA processes and consulting on improvements.
- $20,000/month Continuous managed testing services for a lender that has 3–5 iteratively evolving solutions.
Managed IT support prices
- $14–$40 per ticket L1–L2 IT support.
- $3,000–$16,000+/month Lending software maintenance and L3 support.
Why Lending Organizations Choose ScienceSoft
- Since 2005 in engineering custom solutions for the lending industry.
- Lending IT and compliance consultants (GLBA, CCPA, ECOA, NYDFS, GDPR, SOC 2, etc.) with 5–20 years of experience.
- 45+ certified project managers (PMP, PSM I, PSPO I, ICP-APM) who succeeded in large-scale projects for Fortune 500 firms.
- Principal architects with hands-on experience in designing complex loan automation systems and driving secure implementation of advanced technologies.
- 350+ software engineers, 50% of whom are seniors or leads.
- Established practices to ensure the high quality of lending solutions and their delivery on the agreed timelines and budget in spite of constraints and risks.