scry

Extract, manage and work with humongous data coming from various financial and legal documents in different formats

Financial Spreading

Extract, reconcile and analyze financial data from various financial and operating documents including rent rolls, tax forms, etc.
Invoice Reconciliation

Digitize, extract and reconcile invoices with SOWs, POs, etc. to avoid duplicate values and payments in invoices from various vendors.
Contract Intelligence

Digitize, extract, harmonize and maintain various attributes from NDAs, MSAs, SOWs, etc. to maintain compliance and reconciliation.
Loan Ops Automation

Extract, reconcile and analyze financial data from various loan documents, including paystubs, tax forms, etc.
KYC and Enhanced Due Diligence

Extract details from govt. issued ID documents and reconcile and validate them with various checklists.
Data Flow Mapping

Analyze, reverse engineer and automate the systems based on COBOL and other legacy languages for optimization.

Identifying potential fraud, risk, conflict and non-compliance in financial and legal engagements at transactional level.

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Anomaly Detection in ACH Transactions

Identify potential fraud, risk, conflict, and non-compliance in financial and legal engagements at transactional level.
Anomaly Detection in Mobile Checks

Generate out-sorts and alerts within milli-seconds to sniff out anomalies and identify fraud in mobile check deposits.
Anomaly Detection in Wire Transactions

Analyzes wire transactions carried out in financial institutions and identifies any anomalies or associated fraud risks.
Anti-Money Laundering

Analyzes customer behavior and KYC details across various online and offline sources to generate out-sorts and alerts for money laundering activities.
Conflict of Interest Detection

Identifies patterns by correlating past engagements,hierarchy, internal and external documents to generate out-sorts and alerts for conflict of interest situations
Employees' Fraud Detection

Identifies patterns related to all transactions and relationships to generate out-sorts and alerts for employee fraud situations.

Predicting anomalies in IoT and Supply Chain networks

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IoT Doctor

Ingests data from numerous IoT data sources and alert the user of bad incoming data so that the inherent problem is fixed.
Anomaly Detection in Networks

Ingests data from numerous IoT data sources and alert the user of anomalies in the data and their potential consequences.
Predictive Maintenance

Ingests data from various data sources and alert operators of probable failure so the maintenance could be planned efficiently.
Fault Prediction in Production Lines

Ingests data from several hundred components of a production line thereby alerting the user of anomalies and their potential consequences.
Optimal Asset Management

Ingests data from multiple systems for rapid identification,resolution, and reduction of potential errors within utilities’ service networks.
Real Time Scene Detection

Ingests real time data and uses Computer Vision algorithms and deep learning networks to addresses a wide range of object detection and classification use cases.

Predicting marketing and operational risks using internal and external data

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Adverse Event Detection

Analyzes unstructured data, extracts relevant information and provides competitive analysis related to business success or failure probability.
SMB Default Risk Prediction

Predicts the likelihood of default during the next 60 to 90 days by SMB (small and medium businesses) borrowers using internal as well as external data of lenders.
Service Ticket Management

Improves the efficiency and quality of internal and external technical support service groups by identifying solutions and potential fixes for new service requests.
Optimal Factory Scheduling

Generates accurate demand forecasts as well as manufacturing and distribution schedules by incorporating various operational constraints.
Inventory and Transportation Optimization

Helps manufacturing firms, wholesalers, and retailers in planning and managing inventory levels efficiently.
Suppliers' Risk Prediction

Helps improve supplier planning and supplier portfolio management create appropriate redundancy, backup and recovery options where needed.

Qualities that set us apart

Product accuracy

Upto 90% accuracy that improves over time with prebuilt ontologies & reinforcement learning.
Reinforcement Learning

In-built reinforcement learning algorithms that improves product performance over time “with & without a human loop".
Knowledge Graph

30+ probabilistic spatial & temporal graph algorithms to determine links & connected entities.
Smart Domain ontologies

Rich pre-built financial ontologies & business rules that are regularly updated
Anomaly detection

Library of 25+ proprietary supervised & unsupervised algorithms, pre-trained & tested for our products.