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Industries · Banking

Banking software development,built for trust and scale.

Core modernization, digital banking, fraud AI, and open-finance layers — with audit-ready delivery from day one.

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01 / Digital banking users

2.5B+

02 / Fraud AI adoption

40%

03 / Open banking APIs

60%

04 / IML delivery

8+ yrs

Banking demand drivers

Pressures banking teams are under — and where AI helps.

  1. 01 · Driver

    Fraud AI

    Teams in banking prioritize fraud ai — we scope roadmaps and AI features around measurable outcomes in this area.

  2. 02 · Driver

    Core modernization

    Teams in banking prioritize core modernization — we scope roadmaps and AI features around measurable outcomes in this area.

  3. 03 · Driver

    KYC flows

    Teams in banking prioritize kyc flows — we scope roadmaps and AI features around measurable outcomes in this area.

Banking solutions

Software we ship for banking operators and product leaders.

  1. 01

    Digital banking & portals

    Digital banking & portals integrated with your core systems and instrumented for the compliance posture Banking teams expect.

  2. 02

    Core system overlays

    Core system overlays scoped around measurable KPIs in Banking — with runbooks your operators can follow after launch.

  3. 03

    Payments & treasury

    Payments & treasury shipped in demo-ready slices so stakeholders can validate workflows before full rollout.

  4. 04

    Fraud & AML monitoring

    Fraud & AML monitoring designed for auditability, access control, and handover documentation from day one.

  5. 05

    KYC & digital onboarding

    KYC & digital onboarding integrated with your core systems and instrumented for the compliance posture Banking teams expect.

  6. 06

    Open banking APIs

    Open banking APIs scoped around measurable KPIs in Banking — with runbooks your operators can follow after launch.

Pair with our AI solutions and engineering services for program-scale delivery.

Banking AI layer

Intelligence for banking that survives review — not demos.

  • 01 · AI

    Fraud graph models

    Fraud graph models with evaluation harnesses, human review, and monitoring tuned for Banking risk profiles.

  • 02 · AI

    Credit & limit AI

    Credit & limit AI deployed with guardrails, fallbacks, and cost controls — not experimental prompts in production.

  • 03 · AI

    Service copilots

    Service copilots validated against Banking data realities before end users see automated decisions.

  • 04 · AI

    Ops forecasting

    Ops forecasting paired with observability and rollback paths your on-call team can act on.

Stack & proof

Built for your stack.Shown in shipped work.

From Banking programs to cross-vertical platforms — the technologies below reflect what we deploy most often, alongside engagements you can review in our portfolio.

See more work

Platforms & tools

  • React
  • Next.js
  • Node.js
  • Python
  • TypeScript
  • PostgreSQL
  • AWS
  • Docker
  • Kubernetes
  • GraphQL
  • Flutter
  • Figma

Selected engagements

A glimpse of what we ship

Full portfolio
Why Banking teams pick IML

A partner built for banking delivery with measurable outcomes.

  1. 01 · Edge

    AI-first delivery since 2018

    Eight years shipping products with applied AI — not slide decks. We pair model work with production UX, APIs, and observability.

  2. 02 · Edge

    Regulation-aware by default

    Audit trails, access control, and documentation your security and compliance teams can hand to reviewers without translation.

  3. 03 · Edge

    Prototype → production path

    A working slice on your data in weeks, then a validated rollout cadence your stakeholders can track.

  4. 04 · Edge

    Offshore value, onshore clarity

    India-based engineering with US/EU-friendly communication, demos, and written decision records every sprint.

See how we work for how engagements run.

Banking questions

Answers for leaders scoping the next banking build.

  • Yes. We combine domain research with your data and workflows in discovery — then ship a prototype on a real pathway in weeks.

  • Access control, audit logs, encryption, and documentation are architectural defaults — scoped to your regulatory envelope at kickoff.

  • We integrate via APIs, events, and batch pipelines with ERP, CRM, and legacy cores — overlay-first unless you want a greenfield build.

  • A focused MVP or rapid POC is typically four to ten weeks depending on integrations and compliance depth.

Let's build

Turn your roadmap into living AI products.

Tell us what you want to launch — we’ll outline a practical path from first prototype to production, with milestones you can track and no forced long-term contract.

[email protected]
Book a discovery callWhatsApp us

Response time

Under 1 business day

Confidentiality

NDAs on request

First prototype

Often within a week