Government and public tenders
Which RFP software helps with go/no-go decisions?
Short answer
12 response tools document go/no-go or qualification support: Iris, Tenderbolt, Realm, Steerlab, Civio, Iternal and 6 more. Check that the scoring uses your own criteria, such as fit, capacity and win themes, rather than a generic score you cannot explain to sales leadership.
Tools that qualify, with the evidence
| Tool | Evidence | Source | Starting price |
|---|---|---|---|
| Iris | Covers the full RFP lifecycle: AI-scored go/no-go against win history, prospect research, a structured war-room brief, cited first drafts, collaboration and export. | heyiris.aias of Oct 2026 | Custom |
| Tenderbolt | Covers the full incoming-RFP flow: Go/No-Go analysis that extracts requirements and scores fit, auto-filled Excel questionnaires exported in the original format, requirement-aligned technical proposals and RFQ pricing-schedule matching. | tenderbolt.aias of Oct 2026 | Custom |
| Realm | Go/No-Go scoring of incoming RFPs and tenders | withrealm.comas of Oct 2026 | Custom |
| Steerlab | Steerlab drafts RFP and RFI responses, ingests Excel, Word, PDF and narrative proposals, and adds a Go/No-Go agent for bid decisions. | steerlab.aias of Oct 2026 | Custom |
| Civio | Civio RFX qualifies opportunities for go/no-go, then builds compliance matrices and first drafts for the pursuit through submission. | civio.aias of Oct 2026 | Custom |
| Iternal | Its Waypoint RFP agent collects, deduplicates and scores public-sector solicitations from sources such as SAM.gov; the vendor labels those layers as shipping and describes bid/no-bid qualification and Word DOCX drafting as the platform's agentic layers. | iternal.aias of Oct 2026 | Custom |
| Tendium | Ingests public tenders with AI summaries and Smart Checklists for bid/no-bid, then drafts bid responses from your Content Library with the Writing Assistant; it is built around public-sector tenders rather than high-volume questionnaire answering. | tendium.comas of Oct 2026 | €125/mo |
| Anchor | RFP summaries with risk flags for go/no-go calls | getanchor.aias of Oct 2026 | $125,000/yr |
| Thalamus AI | AI bid/no-bid scoring calibrated to your own past wins and losses | thalamushq.aias of Oct 2026 | Custom |
| Stotles | AI bid/no-bid report that summarizes the tender pack and flags risks | stotles.comas of Oct 2026 | £0 (Free plan) |
| ContraVault AI | Analyses RFP and tender packs for go/no-go, risks and contradictions, generates pre-bid clarifications, auto-fills bid forms and drafts proposal sections with clause-level references. | contravault.comas of Oct 2026 | Custom |
| Tendrio | Excellent for front-end RFP qualification and requirement extraction. | revuo.aias of Jul 2026 | Custom |
Why this question matters
The cheapest RFP is the one you decline early. Go/no-go tools read the request, extract requirements and score fit, so the team spends drafting time on bids it can win.
Which one fits your situation
- If you are a presales team qualifying inbound requests, start with Iris, Realm and Steerlab.
- If you bid on public tenders, start with Tenderbolt, Steerlab and Tendium.
What to test in a trial
- Score five past requests, including two you lost, and compare the tool’s call with hindsight.
- Check whether you can edit the scoring criteria.
Caveats
- A fit score is an input to the decision, not the decision.
- Some go/no-go features are listed as coming soon on certain profiles and do not count here.
How we decided who qualifies
Only RFP, DDQ and questionnaire response tools with a published profile are checked. A tool is named here only when its record shows the rule above, either in a sourced research fact or in the reviewed profile, and we publish an answer only when at least three tools qualify. A tool missing from the table may still do this; it has not been documented in a way we could source. Read the research methodology for how facts are dated and corrected.
More questions on this topic
What goes into a go/no-go decision?
Fit with requirements, relationship with the buyer, competition, capacity and the deal value against the effort.
Can AI make the go/no-go call?
It can summarise and score. The decision needs someone who knows the account.