Contract Intelligence

Transform and Analyze Contracts

Contract Intelligence is an AI-based enterprise application that automate the digitization and information extraction from a wide array of contracts that contain unstructured information. Not only does it distill pertinent and actionable intelligence from these contracts (i.e., attributes, entities, values, and other metadata), the app also identifies underlying pricing, business risks and compliance provisions.

Use Cases

  • NDAs, MSAs, SoWs & Purchase Orders

  • Royalty agreements & acquisition agreements

  • Derivatives contracts, e.g., ISDA master, CSA, MRA, GMRA, MSLA & MSFTA

  • Term-sheets, credit agreements & letters of intent

  • Commercial loan agreements, residential & commercial mortgages, auto loans, and leases

  • Impact analysis of IBOR contracts and remediation

  • SWIFT messages, unstructured settlements, or other payment related instructions

  • Corporate actions and trust documents

Collatio Serves


Advanced and Upgraded Contract Analytics to Defeat your Business Risk

Contract Intelligence by Scry Analytics delivers tremendous gains in productivity and cost reduction while guaranteeing unprecedented levels of accuracy at scale. It is powered by extensive automation that automates contract data extraction implemented at each stage of the process. Our Contract Intelligence application supports your internal expertise giving you the ability to quickly comply with changing market conditions and emerging regulations improving business resilience and agility.

More Detail

Collatio has been built using
the following technologies

  • Bayesian

  • Reinforcement

  • Generic rule-
    based machine

  • Heuristic

  • Reverse

  • Data mining

  • Big data

  • Big data

Key Differentiators &
Business Benefits

  • User Interface and APIs

    Pre-built graphical user interface (GUI) & APIs for quick deployment & integration with clients’ workflows

  • Domain Ontologies

    Prebuilt financial ontologies & business rules that each product will improve over time

  • External Data

    Allows integration with external data sources that may be required to enrich information from attributes in the document e.g., organization hierarchies, M&A activity, etc.

  • Reinforcement Learning

    91% – 98% accuracy that improves over time & with high quality ontology

  • Customizable for Multiple Document Types

    Customizable modularized ontology and Directed Acyclic Graphs to support the ingestion of any type of document that a machine can learn to read e.g., NDAs, MSAs, Invoices, SoWs, etc.