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GTM AI Index
Index › Sales › October 2026 Edition

RFP response software

Asked as “RFP response software”, and as “proposal management software”, on behalf of a mid-market B2B company. 57 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each. Added to the October 2026 Edition on October 4, 2026; its answers are read by the distilled judge (ai-indexes-judge-qwen3-14b-run3), not the claude-opus-5 judge of the earlier categories: how the two compare.
Standing · first-choice share
25%
Contested · PandaDoc 16%
25Loopio16PandaDoc14Responsive46others

25% of first choices, contested.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.

The standing

Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Loopio25%16%56accepted challengernewNew since September 2026: not ranked then, 25% now.
02PandaDoc16%31%35criticized challengernewNew since September 2026: not ranked then, 16% now.
03Responsive14%20%46accepted challengernewNew since September 2026: not ranked then, 14% now.
04DeepRFP7%0%10accepted challengernewNew since September 2026: not ranked then, 7% now.
05Proposify5%28%32criticized challengernewNew since September 2026: not ranked then, 5% now.
06AutoRFP.ai2%5%21accepted challengernewNew since September 2026: not ranked then, 2% now.
071up2%0%11accepted challengernewNew since September 2026: not ranked then, 2% now.
08Qwilr2%8%13accepted challengernewNew since September 2026: not ranked then, 2% now.
Show the two products at 0%, ordered by negative rate
09Upland Qvidian0%21%33accepted challengernewNew since September 2026: not ranked then, 0% now.
10Inventive AI0%0%11accepted challengernewNew since September 2026: not ranked then, 0% now.

The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured

Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
All twenty-eight head-to-head pages: the top eight products, each against each

Recommended versus criticized

Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.

Criticized challengerCriticized default
Negative label rate →
01
02
03
04
05
06
07
08
09
10
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01Loopio25%
02PandaDoc16%
03Responsive14%
04DeepRFP7%
05Proposify5%
06AutoRFP.ai2%
071up2%
08Qwilr2%
09Upland Qvidian0%
10Inventive AI0%

What they warned about

One of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Grok 4.1 Fast, Mistral Small, DeepSeek V4 Flash, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5, GPT-6 Luna and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Proposify
28%
9 of 32 labels negative · 9 of 14 models · 5 hard negative
“General proposal tools like Proposify and PandaDoc: These excel at sales proposals but fall short for true RFPs.” Grok 4.1 Fast, negative prompt
PandaDoc
31%
11 of 35 labels negative · 8 of 14 models · 5 hard negative
“General proposal tools like Proposify and PandaDoc: These excel at sales proposals but fall short for true RFPs.” Grok 4.1 Fast, negative prompt
Loopio
16%
9 of 56 labels negative · 7 of 14 models · 1 hard negative
“**Loopio** specifically called out as "not AI-native"—built in 2014 with AI added around 2021” Kimi K2, negative prompt
Responsive
20%
9 of 46 labels negative · 7 of 14 models · 1 hard negative
“Be Cautious With: Responsive (formerly RFPIO) ... This is the most criticized major platform based on consistent negative feedback” Qwen 3.7 Flash, negative prompt

What they cite

Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.

Sites the answers cite

78 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 1003 links across 166 sites, every framing counted. Ranked by the number of answers carrying the site or page. None of the 252 answers across every segment cited this index's own page for the category.

vendor site · Responsive38 answers · 69 citations · 12 models
vendor site · Guideflow37 answers · 41 citations · 12 models
vendor site · Inventive36 answers · 58 citations · 12 models
vendor site · Loopio31 answers · 43 citations · 14 models
30 answers · 63 citations · 12 models
vendor site · SiftHub28 answers · 35 citations · 12 models
26 answers · 26 citations · 12 models
vendor site · Storyflow21 answers · 24 citations · 11 models
vendor site · AutoRFP.ai20 answers · 28 citations · 9 models
vendor site · BidSparq20 answers · 25 citations · 8 models
vendor site · GetApp17 answers · 19 citations · 9 models
vendor site · DeepRFP16 answers · 21 citations · 11 models

Pages the answers cite

The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.

Search against answers

Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best rfp response software”, “rfp response software”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
Company and productsShareOwn site citedName searches, GoogleAI search demand, est.Organic visitsPaid search a month, est.Google ads, last 30 daysBest Google position
Loopio loopio.com25%2203,600804,64026
PandaDoc pandadoc.com16%52760,500510425,196$42,516119
Responsive responsive.io14%21312,100210,14137,620165
PowerRFP powerrfp.com9%19100792
DeepRFP deeprfp.com7%381700677
BreezeDocs breezedocs.ai
Breeze Docs 5%, BreezeDocs 2%
7%12
Proposify proposify.com5%2743,6002838,10327
Tribble tribble.ai4%218
Expedience Proposal Software4%
AutoRFP.ai autorfp.ai2%7670038,77122

Google's top ten for the two searches hold 13 sites; 4 of them are among the sites the models cited here (autorfp.ai, inventive.ai, responsive.io, sifthub.io). The first result for “best rfp response software” is kantiv.com.

How they answered

Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHide
ModelDirect“What is the best RFP response software for a mid-market B2B company?”Paraphrase“Which proposal management software would you recommend to a mid-sized B2B company?”Comparative“What are the top RFP response tools and how do they differ?”Budget-constrained“What is the best RFP response software for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a RFP response software. What should we look at?”Negative“Which RFP response tools should I avoid or be cautious about?”
Claude Haiku 4.5Tribble
Three alternativesAutoRFP.ai, Loopio, Steerlab
PandaDocChanged
Three alternativesDealHub, Proposable, Proposify
Loopio
Four alternativesArphie, AutoRFP.ai, GovDash, Responsive
against: Upland Qvidian
DeepRFP, iQuoteXpress
One alternativeSmartDocs
no first choiceagainst: Loopio, Responsive, Upland Qvidian
GPT-5.4 miniLoopio
One alternativeResponsive
ProposifyChanged
One alternativeQwilr
Responsive
Two alternativesLoopio, PandaDoc
against: Upland Qvidian
RFP Response Builder
Two alternativesAutoRFP.ai, RequestFX
against: Loopio, Responsive
no first choicenothing named
Gemini 3.5 FlashTribble
Three alternativesAutoRFP.ai, Loopio, Steerlab
against: Responsive
ResponsiveChanged
Five alternativesGetAccept, Loopio, PandaDoc, Proposify, Qwilr
Loopio, Responsive
Seven alternatives1up.ai, Arphie, AutoRFP.ai, Civio AI, GovDash, Perceptis AI, Procurement Sciences
RFP.ai
Five alternatives1up, Better Proposals, Breeze Docs, DeepRFP, PowerRFP
against: Loopio, Responsive
Loopio, Responsive
Five alternatives1up.ai, Civio, GovDash, Procurement Sciences, Tribble
against: Coupa, Loopio, Responsive, SAP Ariba, Upland Qvidian, Workday Sourcing
Perplexity SonarLoopio
One alternativeResponsive
against: Proposify
ProposifyChanged
Five alternativesBetter Proposals, PandaDoc, Responsive, RocketDocs, Upland Qvidian
Responsive
Seven alternativesAutoRFP.ai, AutogenAI, GovDash, HeyIris, Loopio, Tribble, Upland Qvidian
Breeze Docs
Four alternatives1up, AutoRFP.ai, DeepRFP, PowerRFP
no first choiceagainst: Outlook
Grok 4.1 FastResponsive
One alternativeLoopio
against: Upland Qvidian
PandaDocChanged
Three alternativesLoopio, Proposify, Qwilr
Responsive
Five alternativesArphie, AutoRFP.ai, Loopio, Tribble, Upland Qvidian
PowerRFP
One alternative1up
Responsive
Four alternatives1up, Arphie, Loopio, Upland Qvidian
against: PandaDoc, Proposify, Responsive, Storyflow, Upland Qvidian
Mistral SmallLoopio, Responsive
Two alternativesExpedience Proposal Software, Proposify
PandaDocChanged
Three alternativesExpedience Proposal Software, Monday.com, Proposify
Responsive
Four alternatives1up, Loopio, Thalamus AI, Upland Qvidian
PowerRFP
One alternativeBreeze Docs
no first choiceagainst: PandaDoc, Proposify, Storyflow
DeepSeek V4 FlashLoopio
Four alternativesAutoRFP.ai, Proposify, QorusDocs, Responsive
PandaDocChanged
Three alternativesGetAccept, Proposify, Qwilr
Responsive
Seven alternativesArphie, AutoRFP.ai, DeepRFP, Loopio, SiftHub, Thalamus AI, Upland Qvidian
against: PandaDoc, Proposify
DeepRFP
Five alternativesBetter Proposals, Inventive AI, PandaDoc, PowerRFP, Proposify
against: AutoRFP.ai, Loopio, Responsive
no first choiceagainst: Loopio, PandaDocnothing named
Llama 4 MaverickExpedience Proposal Software
Two alternativesAutoRFP.ai, Conveyor
Expedience Proposal SoftwareHeld
Four alternativesPandaDoc, Proposify, QuoteWerks, Qwilr
no first choiceDeepRFP
Two alternativesRFPMonkey, VisibleThread
no first choiceagainst: PandaDoc, Proposify, Storyflow
Qwen 3.7 FlashAutoRFP.ai, Loopio
Two alternativesQwilr, Upland Qvidian
PandaDocChanged
Three alternativesExpedience Proposal Software, Proposify, Qwilr
Loopio
Two alternativesResponsive, Upland Qvidian
Breeze Docs
Two alternatives1up, PowerRFP
Loopio
Two alternativesResponsive, Upland Qvidian
against: Gainsight, PandaDoc, Vendavo
against: Loopio, PandaDoc, Proposify, Responsive
Kimi K2Loopio
Three alternativesAutoRFP.ai, PandaDoc, Responsive
PandaDocChanged
Three alternativesLoopio, Proposify, Qwilr
Loopio
Three alternativesAutoRFP.ai, Responsive, Upland Qvidian
against: PandaDoc
BreezeDocs, DeepRFP
Two alternativesBidSparq, PandaDoc
against: GovWin IQ
no first choiceagainst: Better Proposals, Loopio, PandaDoc, ProposalKit / Proposal Central, Proposify, Qwilr, Upland Qvidian, XaitPorter
GLM 4.7 FlashXLoopio
Two alternativesResponsive, Upland Qvidian
PandaDoc, QwilrChanged
Two alternativesProposable, Proposify
no first choicePowerRFP
Two alternativesBidSparq, Proposify
no first choiceagainst: Better Proposals, BidMagic, ChatGPT, Claude, DocMerge, PandaDoc, Proposify, Storyflow
MiniMax M2.5Loopio, Responsive
Two alternativesSiftHub, Upland Qvidian
PandaDocChanged
Two alternativesProposify, Qwilr
Loopio
Four alternativesInventive AI, Proposify, Responsive, Upland Qvidian
Breeze Docs, PowerRFP
Two alternatives1up, BidScript
Responsive
Three alternativesLoopio, Tribble, Upland Qvidian
against: ChatGPT, Claude, Gemini, PandaDoc, Proposify, Storyflow
GPT-6 LunaLoopio
One alternativeResponsive
Loopio, ProposifyChanged
One alternativePandaDoc
Loopio
Five alternativesAutogenAI, Conveyor, Ombud, Responsive, Upland Qvidian
1up
One alternativeLoopio
no first choicenothing named
Muse Glimmer 30BLoopio
Two alternativesAutoRFP.ai, Responsive
PandaDocChanged
Four alternativesGetAccept, Loopio, Proposify, Qwilr
Loopio, Responsive formerly RFPIO
Three alternativesQorusDocs, Tribble, Upland Qvidian
PowerRFP
Three alternativesBidhive, PandaDoc, RFP360.AI
Loopio, Responsive
One alternativeUpland Qvidian
against: Arphie, Loopio, Responsive
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against

The record

One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Eighty-four rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Haiku 4.5claude-haiku-4-5-202510012026-10-05 00:06yes1611 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-05 00:55yes35 s
Direct recommendationGemini 3.5 Flashgemini-3.5-flash2026-10-05 00:13yes2227 s
Direct recommendationPerplexity Sonarsonar2026-10-04 22:25yes204 s
Direct recommendationGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-05 00:40yes2410 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-10-04 22:36yes53 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-04 23:48yes2527 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-04 22:21yes52 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-05 00:12yes932 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-10-04 23:42yes1031 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-04 22:56yes2562 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-04 22:16yes1015 s
Direct recommendationGPT-6 Lunagpt-6-luna2026-10-04 22:57yes415 s
Direct recommendationMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-04 23:58yes1413 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-10-05 00:54yes99 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-05 00:36yes24 s
ParaphraseGemini 3.5 Flashgemini-3.5-flash2026-10-04 23:09yes1022 s
ParaphrasePerplexity Sonarsonar2026-10-04 23:57yes203 s
ParaphraseGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-04 23:29yes228 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-10-04 23:53yes54 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-04 22:53yes1622 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-05 00:03yes52 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-05 00:37yes520 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-10-05 00:22yes1534 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-04 23:41yes991 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-04 22:13yes718 s
ParaphraseGPT-6 Lunagpt-6-luna2026-10-04 22:56yes312 s
ParaphraseMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-04 23:43yes1523 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-10-04 22:46yes109 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-04 23:13yes67 s
ComparativeGemini 3.5 Flashgemini-3.5-flash2026-10-04 22:20yes2425 s
ComparativePerplexity Sonarsonar2026-10-05 00:31yes205 s
ComparativeGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-04 23:32yes2110 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-10-05 00:39yes97 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-04 22:22yes2440 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-05 00:53yes52 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-04 23:31yes956 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-10-04 22:50yes1823 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-04 22:16yes1939 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-04 22:43yes1429 s
ComparativeGPT-6 Lunagpt-6-luna2026-10-04 23:36yes626 s
ComparativeMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-04 23:51yes1323 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-04 23:13yes97 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-04 22:35yes56 s
Budget constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-04 23:40yes1625 s
Budget constrainedPerplexity Sonarsonar2026-10-04 23:07yes172 s
Budget constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-04 22:39yes218 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-10-05 00:38yes146 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-05 00:30yes2151 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-05 00:39yes54 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-04 22:23yes516 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-04 23:32yes1119 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-04 22:45yes2060 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-04 22:15yes513 s
Budget constrainedGPT-6 Lunagpt-6-luna2026-10-04 23:35yes216 s
Budget constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-05 00:08yes1213 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-04 23:09no06 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-04 23:22no08 s
Scale constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-05 00:00yes1125 s
Scale constrainedPerplexity Sonarsonar2026-10-04 22:13yes184 s
Scale constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-05 00:37yes1510 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-10-04 23:08no07 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-04 22:45yes2338 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-05 00:39yes53 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-04 23:09no028 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-04 23:54yes1017 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-04 23:23yes1583 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-04 23:15yes1023 s
Scale constrainedGPT-6 Lunagpt-6-luna2026-10-04 23:03yes221 s
Scale constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-05 00:57yes1517 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-10-05 01:01yes1810 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-04 22:14no04 s
Negative framingGemini 3.5 Flashgemini-3.5-flash2026-10-05 00:56yes1923 s
Negative framingPerplexity Sonarsonar2026-10-05 00:40yes204 s
Negative framingGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-05 00:42yes208 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-10-04 22:43yes54 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-04 23:51no025 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-05 00:10yes53 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-05 00:21yes1840 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-10-04 22:51yes2227 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-05 00:24yes2329 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-04 22:25yes1723 s
Negative framingGPT-6 Lunagpt-6-luna2026-10-04 22:51yes218 s
Negative framingMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-05 00:27yes1426 s

Normalization in this category

Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.

ShowHide
Category-scoped readings
Inventive read as Inventive AI
Unresolved, counted raw
BidMagic
BidScript
Bidhive
Civio AI
DocMerge
Google Docs/Sheets
GovWin IQ
Perceptis AI
ProposalKit / Proposal Central
ProposalPro
RFP.co
RFP360.AI
RFPMonkey
RequestFX
SmartDocs
Sweetspot
Tenderos
Thalamus
Tradogram
Workday Sourcing
Zip
Zyno RFP
Discontinued, still offered
No shut-down product was recommended here.

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