Centralized datasource and connection configuration service for multi-database AI applications in card and fraud ecosystems.

Data Access, Database Connectivity, Spring

Duration

1 Year

Year

2024

Region

USA

Data Source_Without Ten provides reusable data source and pooling configuration for AI services that connect to Informix, MySQL, and related enterprise stores.

It simplifies database setup and consistency across projects by externalizing connection behavior and integrating with shared infrastructure libraries.

Problems

Repeated database setup across services increased maintenance and configuration drift.

Opportunities

Build one standardized datasource layer for all dependent AI services.

Solutions

Delivered Spring-based datasource module with pooling, logging integration, and enterprise DB compatibility.

Future Trends

Secrets-managed credentials, dynamic connection routing, and environment-based auto-configuration.

Our Projects

AI Fraud Engine

End-to-end fraud analytics platform for training, evaluating, and serving transaction fraud predictions in online and offline modes.

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NLP Web Service

Django REST web service for call-quality evaluation and historical evaluation retrieval using NLP engine integrations.

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NLP Processing Framework

Modular NLP framework covering preprocessing, feature engineering, and vectorization for conversation and text analytics.

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Model Serving Platform

Containerized Python model-serving stack for specialized vision/NLP handlers such as MICR, signature, and verbiage detection.

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Model Inference Service

Real-time inference API service for invoking deployed AI models with resilient, enterprise-ready request handling.

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Financial Verification Suite (FVS)

AI-powered computer vision platform for check/image verification including signature, MICR, amount, date, and verbiage analysis.

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Successful Project Deliveries

Highlighting some of our most impactful and innovative solutions

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