Banking & Finance
Custom banking and fintech softwaredevelopment and AI services.
Building a new financial product, or replacing a system that no longer keeps up?
Corpvance builds lending platforms, fraud and risk systems, customer portals, back-office automation, and AI for document processing and policy retrieval. We integrate with core banking platforms, payment rails, and data warehouses, and build to the access and audit standards your reviewers expect.
A small senior team. You work directly with the engineers building your product.
- 01
- Core banking integrations
- 02
- Fraud and risk models
- 03
- KYC and AML workflows
- 04
- AI retrieval systems
- 05
- Cloud migration
Market Context
AI is already in production across financial services
Adoption is no longer the question. The gap now sits between institutions running models in production and those still stuck in pilots.
- 88%
- of financial institutions report AI/ML already in production
- 89%
- are applying GenAI in production or active pilots
- 50%
- increased AI/ML investment by more than 25% year over year
IIF-EY AI/ML Survey 2024
IIF-EY AI/ML Survey 2024
IIF-EY AI/ML Survey 2024
These are engineering problems. Model outputs that cannot be explained to a reviewer, data spread across systems that were never designed to share it, and controls bolted on after a pilot rather than designed in. All of them are fixable in software.
Who we build financial software for
Requirements change depending on who owns the workflow. These are the organizations Corpvance works with, and what they usually need built.
Banks and credit unions
Institutions running a core banking platform that need modern software around it rather than a core replacement.
Customer portals · Back-office tools · Integrations
- Customer portals
- Back-office tools
- Integrations
Lenders and mortgage companies
Teams where approval speed and consistency drive volume, and underwriting still depends on manual document review.
Loan origination · Document automation · Decision support
- Loan origination
- Document automation
- Decision support
Fintech and payments companies
Product companies where the software is the business, and engineering capacity sets how fast the roadmap moves.
Product build · Platform scaling · AI features
- Product build
- Platform scaling
- AI features
Wealth and asset managers
Advisory and investment teams working across portfolio data, client reporting, and research that has to stay traceable.
Client portals · Reporting · Research retrieval
- Client portals
- Reporting
- Research retrieval
Risk, fraud, and compliance teams
Groups where the bottleneck is alert triage and case handling rather than detection itself.
Alert triage · Case management · Audit trails
- Alert triage
- Case management
- Audit trails
Not sure which of these fits your organization? A short scoping call is usually enough to tell whether the work is a new build, an integration, or a modernization.
What Corpvance builds for banking and finance
We can build a new financial product from the ground up, extend a platform you already run, or replace the manual steps around your core systems.
Customer and internal products built around your operations rather than a vendor's template.
- Customer and member portals
- Loan origination systems
- Onboarding and KYC flows
- Back-office operations tools
- Advisor and broker dashboards
- Payment and transfer interfaces
- Mobile banking apps
- Internal admin platforms
AI applied to the review, detection, and document work that currently runs on analysts.
- Fraud and anomaly detection
- Credit and risk scoring support
- Document extraction and verification
- AML alert triage
- Policy and regulation retrieval
- Client reporting automation
- Summarization over case files
- AI features inside existing products
Connections between your core systems, data platforms, and third-party providers.
- Core banking integrations
- Payment rails and card networks
- Open banking and account aggregation
- KYC and identity providers
- Credit bureau connections
- Data warehouses and ETL
- Reporting pipelines
- Permission-aware data access
Improving financial software that works but is slow, manual, or hard to change.
- Interface and UX redesign
- Cloud migration
- Performance and scalability
- Mobile support
- Access control retrofits
- Replacing spreadsheet and manual steps
- Incremental platform replacement
- Modern application architecture
How a banking project runs
The hard parts in financial software are integration and auditability, so we settle those before the build scales.
- 01
Scope
We map the workflow, the systems it touches, and who needs access to what. You get a written scope and an architecture direction.
- 02
Integration check
We confirm what your core platform, warehouse, and third-party providers actually allow before feature work starts.
- 03
Design
Interface and data model decisions, reviewed with the risk, operations, and compliance people who will live with them.
- 04
Build
Short delivery cycles with a working environment you can log into and test at any point.
- 05
Launch and support
Security review, testing, and deployment, then continued development or a full handover to your team.
Audit trails and access control are written alongside features rather than added at the end, which is where retrofitted financial systems tend to run into trouble.
Build something new, or modernize what you already run
Financial services engagements start in one of two places, and Corpvance delivers both. Many projects turn out to be a mix.
Build from scratch
For a new product, a new line of business, or a workflow with no system behind it today. We handle product design through to production.
- New customer-facing platforms
- Fintech and payments products
- Fraud and risk systems
- Mobile applications
- Greenfield architecture
- Launch and scaling support
Modernize and automate
For a system that works but is slow, manual, or expensive to change. We improve it in stages so the platform your teams depend on stays live.
- Interface and UX redesign
- Cloud migration
- Core and API integrations
- Automating manual review steps
- Adding AI to existing products
- Performance and access control
Most engagements combine both: a new product on one side, and integration with the core systems around it on the other.
818 Digital
818 Digital
The Business Problem
Teams were losing hours moving between CRM records, document stores, email, calendars, and market data just to answer a single question, with no consistent way to enforce who could see what.
What We Built
Corpvance built a conversational command layer that searches across connected business systems and returns answers with the underlying records attached, under the access rules each source already enforces.
What Shipped
- Universal search across connected systems
- Document intelligence and OCR pipelines
- Enterprise system integrations
- Access-aware application architecture
- Analytics and visualization layer
- Mobile-first product interface
Outcome
One interface replaces the manual hunt across separate tools, with answers traceable back to the source record.
Frequently asked questions
Practical answers about scoping, compliance, integration, and how we measure success.
01Can Corpvance build a financial product from scratch?
Yes. That covers product design, software development, AI development, backend systems, integrations, cloud infrastructure, testing, and deployment. We also handle the parts teams tend to underestimate, including role-based access, audit logging, and the operational tooling needed to support the product once it is live.
02Can you modernize existing banking software?
Yes, and it rarely needs to happen all at once. We can rebuild specific workflows, redesign the interface, improve performance, migrate infrastructure, or replace the platform in stages. Incremental modernization is usually the right call, because taking a live financial system offline carries far more risk than the technical debt itself.
03Can you integrate with our core banking platform?
Yes, working with what your core exposes and what your vendor agreement permits. We build integrations through core APIs, data warehouses, identity providers, payment rails, and approved data exports, so AI and new interfaces work against your existing source of truth rather than a parallel copy of it.
04Can you add AI to an existing financial product?
Yes. Common additions are fraud and anomaly detection, document extraction for onboarding and underwriting, alert triage, policy and regulation retrieval, and summarization over case files. The constraint is rarely model quality, it is explainability and access control, both of which we design into the retrieval and decision layers.
05Can you build models that risk and compliance teams can defend?
That is the requirement we design around. Outputs carry the features, sources, or case context behind them so a reviewer can reconstruct why a result was produced. We also scope evaluation harnesses, logging, and human approval gates on material actions such as credit overrides and escalations.
06How do you handle security and data access requirements?
We implement the technical safeguards on the application side: encryption in transit and at rest, role-based access control, secure authentication, audit logging, and permission-aware AI retrieval. Because your obligations also depend on policies, infrastructure, and internal procedures, we work directly with your security and compliance stakeholders.
07Who owns the code and the intellectual property?
You do. Ownership of the source code and associated intellectual property transfers to you, along with repositories, infrastructure configuration, and documentation. We do not retain licensing rights over what we build for you, and we do not resell client work as a product.
08Can you work alongside our existing engineering team?
Yes. We can own a workstream end to end, extend an in-house team on specific parts of the build, or take responsibility for a subsystem such as the integration layer or the AI components. Where an internal team already owns the platform, we work inside your repositories, review process, and deployment pipeline.
09What happens after launch?
You choose. Some clients keep us on a support agreement covering maintenance, monitoring, security updates, and continued development. Others take the system in-house, in which case we run a structured handover with documentation, architecture walkthroughs, and a support window while your team gets comfortable.
10How do we start?
A short call to understand the workflow, the systems involved, and what is driving the project. From there we move into a discovery engagement that produces a written scope, an architecture direction, and a clear plan for the build.
Capabilities that make industry software production-ready.
Successful software implementation needs data pipelines, application interfaces, and cloud operations around the product.
Artificial Intelligence
Production AI systems with retrieval, agents, evaluation, and human review loops.
Explore Artificial Intelligence→Data & Analytics
Pipelines, warehouses, and validated datasets that make industry AI reliable.
Explore Data & Analytics→Software Engineering
Portals, APIs, and operational interfaces that put AI into daily workflows.
Explore Software Engineering→Explore other industries
Corpvance applies custom technology where workflows are repetitive, data is available, and outcomes can be measured.
