AI Proposal Software For Sales, Consulting, RFP, And Grant Proposals
| Founded year: | 2025 |
| Country: | India |
| Funding rounds: | Not set |
| Total funding amount: | Not set |
Description
Gixo Arc is an AI proposal drafting workspace that turns an RFP, a deck, a scope document, or your own notes into a structured first draft. It handles sales proposals, consulting engagement letters, RFP and RFQ responses, grant applications, partnership proposals, and internal business cases. It will not invent pricing, timelines, or commitments you have not given it.Key Features
- Six proposal types, not one template: Sales proposals, consulting engagement letters, RFP and RFQ responses, grant applications, partnership proposals, and internal business cases each get their own section structure and tone.
- Reads your source documents: Uploaded RFPs, decks, SOWs, and reference files are parsed with OCR so the draft starts from the issuer's actual requirements.
- Requirement-aligned responses: RFP responses are structured point by point against the issuer's requirements and evaluation criteria rather than as free prose.
- Editing and collaboration in place: Revise the draft, work with colleagues, and keep the proposal in one workspace through review.
- Export where the buyer needs it: Deliver as PDF, DOCX, HTML, or plain text.
- Explicit limits: Arc does not invent pricing, timelines, or commitments, does not auto-submit to procurement portals, and does not claim to predict win rates.
Benefits
- No invented commercials: Pricing, timelines, and commitments come only from what you supply, so a draft never quietly promises something you cannot deliver.
- Requirement coverage you can check: Because RFP responses map to the issuer's stated criteria, it is far easier to see what is answered and what is still missing.
- A real first draft in minutes: Starting from the RFP and your reference files removes the slowest part of proposal work, which is assembling the structure and boilerplate.
- One workspace through review: Drafting, editing, and collaboration stay together, so the version going to the client is the version everyone reviewed.
- Honest about scope: Clear limits on what the tool does not do means less rework discovering the gaps late.