Grantable

Automatically parses RFP documents to identify key requirements, evaluation criteria, and compliance mandates. Extracts structured data from unstructured proposal documents to surface what funders are actually asking for.

Generates initial draft text for specific RFP response sections based on RFP requirements and organizational context. Creates contextually relevant first drafts that align with funder language and expectations.

Stores and manages organizational information, past proposals, and program details that can be referenced across multiple RFP responses. Creates a knowledge base that AI can draw from to maintain consistency and reduce repetitive data entry.

Tracks and organizes multiple RFP responses simultaneously, managing deadlines, requirements, and drafting progress across concurrent funding opportunities. Provides project-level organization for juggling multiple proposals.

Analyzes RFP language patterns and funder communication style to generate responses that align with expected tone, terminology, and framing. Helps proposals sound like they were written for that specific funder rather than generic.

Identifies and highlights compliance-critical requirements, restrictions, and mandatory elements within RFPs that could result in proposal rejection if missed. Surfaces high-risk compliance issues that need human attention.

Provides RFP-specific templates and response frameworks based on common grant writing structures and funder expectations. Scaffolds the response structure so writers know what sections to include and in what order.

Helps draft compelling impact statements and outcome descriptions based on organizational data and program results. Generates language that translates program metrics into funder-relevant impact narratives.

Generates explanatory text for budget line items that justifies costs and connects spending to program outcomes. Creates narratives that explain the 'why' behind budget allocations in funder-friendly language.