Interplay® has an advanced OCR Manager that can extract structured data from smartphone photos of IDs, including driver's licenses, passports, etc. This allows a quick verification and Know Your Customer (KYC) for anyone looking to verify account owners, buyers, or sellers.

Interplay is trained to recognize a myriad of document sources, data fields, and known structured data models, including personal IDs, passports, and a number of common government tax forms. It is currently deployed in financial institutions to verify transactions and customers.

Iterate's Generate is an advanced AI trained to scan relevant loan application data, connect to credit assessment providers, and calculate loan risk as well as overall creditworthiness.

The platform has advanced ML pattern matching for instant risk calculations. Combined with KYC documentation services and ties with institutional legacy systems, Interplay can provide an advanced Mortgage assessment platform for financial institutions.

• KYC verification
• Dynamic document processing
• Automated workflow and document routing
• ML pattern assessment for risk calculation

Iterate’s Generate can recognize financial data, structure it, and port it directly to existing legacy systems for further processing, while also providing analytics and further training to the Generative AI engine.

Our platform runs as a completely private and secure LLM that can be trained and fine-tuned to the organization's policies, commercial practices, and customer records. These source documents then inform the LLM via RAG methods to provide an advanced AI for the institution.

Financial institutions have an enormous investment into existing legacy systems that have functioned for years or even decades without major disruption. CTOs are faced with the challenge of protecting this investment while also incorporating new technologies.

Interplay can connect modern AI engines to legacy systems that may not have APIs available: text scraping, RPA, ANSI feeds, etc. can all work inside an integrated low-code application flow.

Enterprise banking demands on-premise servers for security and speed.

Interplay runs on data-center hardware and edge servers wherever remote or bandwidth-constrained locations require AI and applications for the organization.

Interplay handles document extraction for Asian Banks across multiple languages and character sets. The AI is trained on trade finance documents and import records. This produced AI models with millions of pre-trained data points.

This AI improves trade finance and other banking document verifications and routing. Verification includes original document copy classifications as well as seal and chop extractions. Automation minimizes manual human hand-holding for advanced job tasks, bringing efficiency and accuracy.

Contracts held by clients can be scanned and instantly sorted by the recognized entities and topics covered. The text of the contracts and documents can build the NLP recognition engine for custom AI training, which builds a stronger proprietary knowledge base. All these documents then start into an automated workflow as determined by internal managers.

Credit risk analysis is one of the strongest cases for neural modeling to recognize patterns. With ever-changing market conditions, ambiguously defined customer groups, and varied asset profiles, traditional risk profiling is rife with misclassifications.

When neural network models are applied to customer and asset data sets, patterns are found, trends are recognized, often in unconventional and unexpected ways.