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

Computer Vision, Document AI, Fraud Prevention

Duration

1 Year

Year

2024

Region

USA

FVS combines CV models, transformation layers, evaluation services, and Django-based APIs to process check images and return verification outcomes.

The suite includes pre-processing, model orchestration, and response generation for use cases like signature detection, MICR extraction, amount verification, and payee validation.

Problems

Manual document/check verification is slow, inconsistent, and vulnerable to fraud leakage.

Opportunities

Automate image-based verification with high-confidence AI decisions.

Solutions

Built modular CV engine + models + web service stack for end-to-end image evaluation workflows.

Future Trends

Multimodal fraud detection, confidence-based human-in-loop review, and explainable vision outputs.

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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