Erayaha

Erayaha is a document reasoning engine focused on contract analysis and structural logic auditing for high-stakes business documents. Designed to address the complexities of agreements, policies, and statements of work, it enables organizations to uncover operational liabilities, contradictory timelines, and hidden logical dependencies directly within their native document editors. The platform compiles contracts and related documents into deterministic structural graphs, aiming to secure execution integrity and reveal risks that may be missed by traditional, sequential language analysis.

Key features include a risk scanner that evaluates documents such as NDAs, SOWs, leases, and master service agreements for security and compliance. Erayaha models agreement clauses as unified, executable logic systems, exposing issues like multi-clause timeline contradictions, unstated variables, asymmetric operational dependencies, and recursive indemnification. The tool identifies problematic patterns such as temporal deadlocks, mutually exclusive performance requirements, vague variable dependencies, accidental liability shifts, measurement leakage, and logic reversals. It also checks for jurisdictional gaps and unverified statutory or compliance dependencies, highlighting vulnerabilities that could arise from shifting regulatory frameworks.

Erayaha integrates directly with Microsoft Word and Google Docs through Microsoft AppSource and Google Workspace Marketplace, allowing users to analyze and audit documents within familiar environments. The platform offers features such as inline playbook enforcement, enabling organizations to cross-reference custom agreements against pre-approved standards and flag non-compliant clauses during drafting. The tool supports multiple languages, with 29 locales available, and includes a document library for managing and categorizing organizational risk and operational exposure.

Targeted at operations, procurement, and risk units, Erayaha provides agentic cores designed to prevent and resolve organizational traps by mapping agreements into deterministic dependency graphs and verifying execution integrity with mathematical precision.