Industry
Fintech Software Development Services — Payments, Ledgers, Lending & Embedded Finance
Production fintech engineering — payments, double-entry ledgers, KYC/AML, lending, BaaS, and the SOC 2 / PCI compliance posture regulated workloads require — built on NestJS + Next.js + Azure (ACI, Entra ID) with RunPod GPU compute, vectorless RAG, and EFR-compliant data flows.
The state of fintech
Fintech market by 2030
Global fintech expansion driven by payments modernization, embedded finance, SMB digitization, and underbanked-population access.
Embedded finance opportunity
Non-financial platforms increasingly embedding payments, lending, and accounts as core features — vertical SaaS is the largest segment.
Card-present moving online
Sustained shift from POS to online and embedded payments, especially in SMB and B2B segments where ACH and account-to-account are growing fastest.
What we build for fintech teams
- Payments integrations: Stripe, Adyen, ACH (Plaid / Modern Treasury), wire, card-present, and crypto rails
- EFR (Electronic Funds Remittance) compliant data flows and reporting pipelines
- Double-entry ledger engineering — custom or atop Modern Treasury / Tigerbeetle
- Idempotent payment flows with proper retries, reconciliation, and dispute / chargeback handling
- KYC/AML and identity verification (Persona, Alloy, Onfido, Plaid IDV)
- Sanctions and PEP screening with ongoing monitoring
- Lending platforms: underwriting, decisioning, origination, servicing, and collections
- BaaS integrations with Unit, Treasury Prime, Synctera, Stripe Treasury — accounts, cards, payments
- Card issuing via Marqeta, Stripe Issuing, Lithic
- Subscription and invoicing flows with Stripe Billing or custom on Stripe primitives
- Azure deployments: Azure Container Instances (ACI) for scalable microservice workloads
- Microsoft Entra ID (Azure AD) for enterprise SSO, MFA, and identity governance across fintech platforms
- RunPod GPU instances for AI model inference, ML scoring, and risk analytics at scale
- Vectorless RAG pipelines for financial document intelligence without traditional vector database overhead
- Compliance: SOC 2, PCI DSS scope minimization, BSA/AML readiness, state MTL awareness
- Audit-ready logging, change management, and access reviews automated via CI/CD
- Real-time fraud signals and rule engines, with feedback loops from disputes
- Reporting: regulatory, accounting, and customer-facing transaction history with PDF/CSV export
- NestJS API tier with strict TypeScript, OpenAPI contracts, and idempotency keys at every boundary
- Next.js (App Router) for customer apps, ops portals, and admin dashboards with Entra ID / Auth0 + MFA
- GitHub Actions CI/CD with OIDC, environment protection, signed container images, and SBOMs
- Reconciliation engines with daily variance reporting and operator-facing investigation tooling
Why DiveScale
Domain knowledge meets engineering rigor
Fintech is where software meets serious money — and serious regulators. DiveScale builds fintech products that pass procurement, security review, and the operational stress of real transaction volume. Ledger integrity is non-negotiable; we engineer for the case where the third party fails and your math still has to balance.
We have shipped fintech across payments, lending, embedded finance, BaaS, and back-office accounting tools. Our engineers understand idempotency, double-entry, reconciliation, partial captures, dispute and chargeback workflows, and EFR-compliant data flows — and the difference between a webhook you can trust and one you cannot.
Our Azure-native fintech stack is purpose-built for enterprise and regulated workloads: Azure Container Instances (ACI) for rapid, scalable microservice deployment without Kubernetes overhead when speed matters; Microsoft Entra ID for enterprise SSO, MFA, and identity governance that sponsor banks and institutional clients require; RunPod GPU instances for AI-powered risk scoring, fraud detection, and financial document analysis at scale.
We bring vectorless RAG to fintech AI — retrieving relevant financial documents, regulatory text, and transaction context without the operational complexity of managing vector databases. This means faster iteration, lower infrastructure cost, and AI-assisted financial analysis that actually ships to production rather than staying in a pilot forever.
We minimize PCI scope aggressively. Stripe Elements, hosted iframes, and tokenization keep most systems out of scope; when systems must be in scope we engineer to PCI-aware standards. The same discipline applies to BSA/AML — we lean on certified partners (Persona / Alloy for KYC, ComplyAdvantage / LexisNexis for screening) rather than reinventing what regulators already accept.
Lending is one of our specialties. We build origination flows, underwriting decisioning, servicing platforms, and collections tooling — with the audit trail every state regulator and sponsor bank wants to see. Origination decisioning is explainable (no black-box ML in adverse-action contexts), and decision logic is versioned so historical decisions remain reproducible.
And we are honest about complexity. Fintech projects take longer than other domains because the failure modes are existential — a duplicate ACH costs real money; a missed sanctions hit costs the license. We share realistic timelines, build in audit-ready increments, and never promise speed at the cost of correctness.
Fintech solutions we deliver
How we deliver
Our fintech delivery process
- 01
Compliance + regulation map
Map the regulatory surface (FinCEN, state MTL, PCI, SOC 2, sponsor-bank requirements where applicable) before architecture. Without this, technical decisions get expensive.
- 02
Architecture & PCI scope
AWS landing zone, Terraform foundation, KMS encryption, scoped IAM, Auth0 with MFA, and aggressive PCI scope minimization via Stripe Elements / tokenization.
- 03
Ledger + idempotency
Idempotent flows at every boundary, double-entry primitives, daily reconciliation, and operator tooling for investigations. The math has to balance even when third parties misbehave.
- 04
KYC / AML build
Identity, sanctions, PEP screening, and ongoing monitoring wired in early — not as the last sprint before launch. Suspicious-activity workflows and SAR-filing tooling for BSA/AML where required.
- 05
Audit-ready evidence
Logging, access reviews, change management, and SOC 2 / PCI evidence collected by CI/CD — not by humans at audit time.
- 06
Pilot and certify
Limited pilot, sponsor-bank approval (where BaaS), pen tests, and SOC 2 / PCI assessments before broad launch.
- 07
Operate, observe, evolve
On-call coverage, real-time transaction monitoring, reconciliation alerts, ongoing fraud-rule tuning, and renewal cycles for compliance certifications.
Technologies we deploy for fintech
Next.js
Production Next.js engineering — App Router, RSC, edge runtime, ISR, SEO-first metadata, and the deployment topology that fits your workload (Vercel or self-hosted).
Learn moreTypeScript
End-to-end typed engineering — React, Next.js, NestJS, Node, and shared schemas — with the discipline TypeScript was built for.
Learn moreNode.js
Production Node.js engineering — NestJS, Fastify, Hono, real-time systems, job queues, and the operational discipline that single-threaded runtimes demand.
Learn moreReact
Production React engineering — Server Components, design systems, performance discipline, accessibility, and the build tooling modern apps deserve.
Learn moreAWS
AWS architecture, migration, and platform engineering — multi-account governance, well-architected workloads, Terraform IaC, and the operational discipline production demands.
Learn moreMicrosoft Azure
Azure architecture, App Service, AKS, Functions, and Azure OpenAI — enterprise-grade builds for Microsoft-aligned organizations.
Learn moreAWS Lambda
Lambda function design, optimization, and operations — cold-start mitigation, IAM scoping, observability, and the architectures where serverless wins.
Learn moreTerraform
Terraform engineering — module design, state strategy, multi-account governance, policy-as-code, drift detection, and CI-driven plan / apply for multi-cloud estates.
Learn moreDocker
Production Docker engineering — small images, multi-stage builds, BuildKit caching, security scanning, and the operational discipline containers deserve.
Learn moreKubernetes
Production Kubernetes engineering — cluster design, GitOps, observability, CIS hardening, multi-tenancy, internal developer platforms, and the day-2 operations the demos skip.
Learn morePostgreSQL
Production PostgreSQL — schema design, query tuning, replication, partitioning, and the operational discipline a serious database deserves.
Learn moreMongoDB
MongoDB engineering — schema design, indexing, aggregation pipelines, Atlas operations, and the discipline to use document storage well.
Learn moreGitHub Actions
GitHub Actions engineering — reusable workflows, OIDC-to-cloud, runner strategy, and the discipline that turns pipelines into a platform.
Learn moreOpenAI
Production-grade integrations with GPT-4o, GPT-4.1, o-series reasoning models, Realtime voice, embeddings, and the Assistants API.
Learn moreAnthropic (Claude)
Production builds on Claude Opus, Sonnet, and Haiku — long-context reasoning, tool use, prompt caching, and Computer Use agents.
Learn moreFintech — Frequently Asked Questions
Yes — typically built atop Unit, Treasury Prime, Synctera, Stripe Treasury, or directly with a sponsor bank. We assemble the BaaS stack, run the sponsor-bank approval process alongside you, and ship the customer-facing product with the operational tooling sponsor banks expect.
