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AI Requirements Analysis Platform

Upload your requirements document. AI detects ambiguous, non-atomic, incomplete, and untestable specs in minutes — cutting down manual analysis time so your team can move forward faster.

Three steps to a cleaner spec

1. Upload your document

Drop a PDF, DOCX, XLSX, CSV, JSON, or TXT file. Our system automatically parses both structured and unstructured data, extracting every requirement.

2. AI reviews everything

Using an AI pipeline, our system checks for ambiguity, atomicity, testability and completeness.

3. Download audit report

Get a detailed report with issue classifications, severity scores, and suggested AI rewrites. Ready in minutes.

Sound familiar? The problems we solve

Hours spent on review

Senior engineers can spend hours reviewing lengthy specifications to find ambiguities and inconsistencies—before a single line of code is written.

"The system shall be fast"

Vague, unmeasurable requirements that mean different things to the client, the architect, and the tester.

Untestable specs

QA engineers who can't write a single test case because there's no measurable acceptance criterion or missing conditions.

Errors discovered too late

errors in requirement found only when development is 70% done. Expensive rework follows.

What We Evaluate

Ambiguity: Identifying statements that can be interpreted in multiple ways.
Atomicity: Verifying that each requirement expresses a single, indivisible feature or constraint.
Testability: Validating that a QA engineer could write a concrete test case for the requirement.
Completeness: Checking if necessary conditions, edge cases, or inputs are left out.
Classification: Verifying functional vs non-functional categorization.