Custom Development
Enterprise software with AI built in
Core banking platforms, digital wallets, payment gateways, and telecom systems that learn, adapt, and improve with every transaction. Built on Vertex AI, AWS SageMaker, and Azure ML.
Software Products
Custom platforms built to scale
Core Banking Platforms
Deposit, lending, payments, and securities trading built on modern cloud infrastructure. Multi-currency, multi-language, 99.99% uptime.
- Real-time ledger
- Fraud detection AI
- Compliance automation
- Customer analytics
Digital Wallets & Payments
White-label mobile wallets with AI-driven payment routing, spend analytics, and personalized offers.
- Sub-second settlement
- Churn prediction
- Offer personalization
- Dispute resolution AI
Telecom OSS/BSS
Order Management, Service Provisioning, Billing systems with ML-powered customer service and network optimization.
- Customer churn AI
- Network optimization
- Revenue assurance
- Self-care optimization
Intelligent Agents
Custom LLM-based conversational AI for customer service, compliance Q&A, and internal operations.
- Context awareness
- Multi-language
- Knowledge base integration
- Human escalation
Real-time Analytics
Streaming data platforms that feed AI systems. Sub-second latency for decision-making.
- Feature stores
- Real-time ETL
- Anomaly detection
- Dashboard automation
Risk & Compliance
AI systems for KYC/AML, sanctions screening, and regulatory reporting. Built-in audit trails.
- ML risk scoring
- Sanctions matching
- Audit automation
- Explainability
Technology Stack
Purpose-built for scale and intelligence
AI & ML Platforms
Backend & Data Infrastructure
Inference & Serving
Compliance & Security
Delivery Model
Build with confidence
Discovery & Architecture
Understand business flows, data, and constraints. Design system architecture for scale and compliance.
Core Development
Build backend services, APIs, and data pipelines. Agile sprints with working software every 2 weeks.
AI Integration
Develop models, integrate Vertex/SageMaker/Azure ML, build feature stores, deploy inference APIs.
Security & Testing
Penetration testing, security audit, compliance validation, load testing at 10x expected volume.
Production Launch
Blue-green deployment, canary rollout, 24/7 war room, rollback plan, monitoring dashboards.
Operations & Learning
24/7 support, model monitoring, A/B testing, continuous improvement based on production data.
Questions
Custom Software · Answered
What's included in custom AI software development?+
Architecture design, full-stack development (backend + frontend + mobile), AI/ML integration, data pipelines, real-time inference, API design, security & compliance, deployment, and 24/7 support. We build complete systems, not components.
Which AI platforms do you use for custom software?+
We integrate with Google Vertex AI (AutoML, forecasting), AWS (SageMaker, Anthropic Claude API), Microsoft Azure (ML, Healthcare AI), and open-source frameworks (XGBoost, PyTorch). Each choice is driven by your data residency and use case, not platform loyalty.
Can you build real-time fraud detection systems?+
Yes. We've deployed sub-100ms fraud detection using XGBoost on GPU, streaming feature stores, and real-time inference APIs. Typical savings: 40-60% reduction in false positives, 25-35% lower fraud loss.
Do you have banking/fintech experience?+
Yes. Aitropolis has built core banking platforms, digital wallets, payment gateways, and telecom billing systems. All deployments follow ISO 27001-aligned security controls, PCI-DSS, and local regulatory requirements (DFSA, SBP, ASIC).
How long does custom software development take?+
MVP to production: 4-8 months for a focused use case. Larger platforms (core banking, telecom BSS): 12-18 months. Timeline depends on scope, data readiness, and regulatory requirements. We deliver incrementally with working software every 2-4 weeks.
Ready to build intelligent software?
Let's discuss your platform vision and timeline.