Fintech Software Development Company
Lending, payments, banking, and insurance software, from underwriting engines to claims automation, built so every number can be traced.
Insurance software development: where we focus
Underwriting & Claims Systems
Claims and underwriting workflows unified across the systems they currently touch, with structured handoffs and status visibility instead of manual re-keying.
Fraud Detection Models
Predictive models trained and validated on your own claims data, flagging risk before payout instead of after the loss is already out the door.
Core Banking Integrations
Role-based access and audit-grade data integrity built to answer a regulator's questions as well as a user's.
Lending & Loan Origination
Application intake, document collection, credit decision rules, and servicing dashboards, with every decision logged next to the data behind it.
Payments & Reconciliation
Payment flows on Stripe, Plaid, or your processor, with every transaction matched to a ledger entry instead of a spreadsheet at month end.
Agent & Policyholder Portals
Quote, bind, and policy service portals connected to your policy admin system, so nobody types the same application twice.
What a fintech app development company has to get right
This is the vertical where “move fast” has to coexist with “prove every number is right.” Every workflow decision has a compliance and audit trail attached, and a shortcut that would be a minor bug elsewhere is a reportable incident here.
At Tidewell Underwriting, a single claim touched five disconnected systems, with staff manually re-keying the same data into each one. The delay was pure process friction, not underwriting judgment. We unified all five into one workflow with structured handoffs and status visibility. At Harborline Insurance, fraud review happened manually after payout, meaning confirmed losses were already out the door by the time a pattern was caught. We built a predictive model trained and validated on their own claims data (not a generic pretrained model) that cut fraud losses 18% by flagging patterns before payout, not after.
Across these engagements, the architecture leans on PostgreSQL for audit-grade data integrity, Python/PyTorch for models evaluated against known-correct answers before launch, and role-based access built to answer a regulator's questions as well as a user's.
Fintech software development starts with the audit trail
In financial software, the question an auditor or regulator asks is rarely whether a feature works. It is “show me why this happened.” Answering it means designing for traceability before the first screen: an append-only record of who changed what and when, every automated decision stored with the inputs and rule version that produced it, and money tracked in a double-entry ledger so any balance can be rebuilt from its transactions.
The exact rules depend on what you do, so we plan around them with your compliance lead from discovery:
- PCI DSS for card payments, which we mostly sidestep by never storing card numbers and using tokenized checkout instead.
- SOC 2 controls for access, change management, and logging, which most enterprise buyers now ask about.
- KYC and AML checks through providers such as Persona, Alloy, or Socure, with results kept for later review.
- GLBA privacy rules for consumer financial data, plus state insurance regulations for carriers, MGAs, and agencies.
We build the software so it supports those controls. Certification itself is your auditor's call, and we work alongside them instead of promising it for you.
The systems fintech and insurance software has to talk to
Most financial products sit on top of other systems, so integrations take a large share of the work. Typical ones are Plaid for bank account data, Stripe, PayPal, Adyen, or Dwolla for card payments and ACH, QuickBooks and Xero for business customers' books, Salesforce or HubSpot for sales and servicing, DocuSign for loan and policy documents, core banking platforms through their APIs or a middleware layer, and credit bureaus such as Experian, Equifax, and TransUnion for pulls and reporting. For insurers, add policy administration systems such as Guidewire or Duck Creek, rating engines, and document generation.
Where an older system has no API, we build a sync around its file exports and validate every batch before the new system trusts it. A mismatch stops the import and alerts a person instead of quietly writing bad numbers.
The systems fintech and insurance software usually connects to
Bank data
- Plaid
- Core banking APIs
Payments
- Stripe
- PayPal
- Adyen
- Dwolla
Accounting
- QuickBooks
- Xero
Your appCredit bureaus
- Experian
- Equifax
- TransUnion
CRM and documents
- Salesforce
- HubSpot
- DocuSign
Insurance
- Guidewire
- Duck Creek
- Rating engines
What fintech app development costs
Financial software costs more than a typical business app of the same size, because every path that moves money needs automated tests and a reviewable trail. The biggest cost drivers are the number of outside providers, whether you hold customer funds or only move them, and how many roles need different permissions.
Our app development cost guide covers general ranges. For your product, we give a fixed quote after discovery, and the first consultation is free.
Work we've shipped like this
Tidewell Underwriting
Automated claims intake and routing across five previously disconnected systems.
5 → 1
Systems requiring manual re-entry
~65%
Reduction in claim intake processing time
0
Weeks of downtime during rollout
Harborline Insurance
A predictive risk-scoring model that flagged high-risk claims before payout, cutting fraud losses 18%.
18%
Reduction in fraud losses
Pre-payout
Flagging now happens before payout, not after
<5%
False-positive rate on flagged claims
Services that pair with this work
Fintech and insurance software questions
Can't find what you're looking for? Reach out and we'll answer directly.
What does a fintech software development company build?
Lending and loan origination systems, payment and billing flows, banking dashboards, investment and advisory tools, underwriting and claims systems for insurers, and fraud detection models. Most of these connect to several outside providers, so a large part of the work is integration and testing.
Do you build PCI DSS compliant payment software?
We design payments so card numbers never touch your servers, using tokenized checkout from Stripe or your processor. That keeps most of your systems out of PCI scope, which costs far less than securing stored card data yourself. Your processor and assessor confirm the compliance level that applies to you.
Can you integrate with Plaid, Stripe, or our core banking system?
Yes. Plaid, Stripe, and most modern providers have well documented APIs. Core banking platforms and older insurance systems vary a lot more, so we confirm what yours exposes during discovery and plan a file-based sync where there is no API.
What does insurance software development cover?
The systems carriers, MGAs, and agencies run on: rating and quoting, underwriting workbenches, policy administration, claims intake and processing, agent and policyholder portals, and fraud detection. Most insurers already have a core platform, so custom work usually fills the gaps around it.
How do you protect financial data?
Encryption in transit and at rest, role-based access with the fewest permissions each person needs, multi-factor login for staff, full audit logging, and secrets kept out of the code. Every release also gets dependency and vulnerability scanning, and production data stays out of test environments.