ScopeIQ transforms the tender development process by:

• Automatically analyzing SOW files (PDF, DOCX)
• Scoring them across Risk, Competition, and Clarity
• Highlighting weak points with AI recommendations
• Simulating improvements to show potential market impact

From “narrow specs” → to “competitive, compliant tenders.”

In large organizations, tender documentation is often drafted by technical teams, not procurement specialists.
As a result, SOWs tend to be:

• Overly specific — limiting supplier competition
• Inconsistent with procurement standards — creating compliance risks
• Difficult to interpret — discouraging potential bidders

Outcome: fewer offers, higher prices, longer tender cycles, and reduced transparency.

Problem Statement

ScopeIQ is an AI-powered analyzer that evaluates tender documentation (Scope of Work) against three key criteria:
Risk – compliance and procurement integrity
Competition – market openness and supplier accessibility
Clarity – structure, readability, and completeness

Automatically evaluates tender documentation (Scope of Work) using advanced NLP and procurement logic.

AI-Powered Analysis

Provides data-driven recommendations to enhance SOW quality.

Actionable Insights

Risk — compliance and procurement integrity
Competition — market openness and supplier accessibility
Clarity — structure, readability, and completeness

Three Evaluation Dimensions:

Works with existing tender platforms, supports On-Prem and Cloud deployment, and includes an AI dashboard for analytics and reporting.

Seamless Integration

↑ More offers (2–3 → 7+)

↓ Faster tender cycles (by 30%)

↑ Higher compliance scores (by 40%)

↓ Lower price deviations (by 5–10%)