The RFP platform that gets measurably better with every deal you run. No answer library to maintain. No knowledge lost to turnover.
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Most RFP tools force teams to build and maintain a static answer library that goes stale the moment someone forgets to update it. Tribble skips that step entirely. It generates scored, cited responses from a living knowledge graph, routes hard questions to the right expert through Slack or Teams, and tracks which proposals actually win. Every outcome feeds back in. The result: your 200th proposal carries intelligence your first one never had.






Answer libraries decay. Tribble compounds. The platform records which responses win deals, which content gaps cost you, and which experts produce the highest-converting answers. That data feeds every future draft. Teams using legacy tools start from the same baseline on proposal 500 as they did on proposal one. Tribble teams widen their win rate advantage with every deal they close.
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TRM Labs
TRM Labs processes over 200 RFPs per year with the same team size. Tribble reduced their response time from 11-12 working days to 8-9.
Rydoo
Rydoo cut SOC 2 questionnaire completion from 3-4 hours of engineering time to under 30 minutes using Tribble.
Abridge
Abridge achieved 80% faster completion times on security and compliance questionnaires.
UiPath
UiPath automated the equivalent of five full-time employees' RFP workload without hiring new staff.
Abridge
Before Tribble, Abridge's team spent 12–15 hours a week stitching security questionnaire answers together across Notion, Drive, and Slack. With Tribble's unified, source-backed knowledge base, 85% is auto-handled — 3–4 hrs to 30 min, ramp 50% faster.
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Tribble is an AI-native platform that automates RFP responses, security questionnaires, and DDQs for enterprise sales teams. The system generates scored first drafts from your organizational knowledge, routes questions to the right experts through Slack and Teams, and tracks which proposals win to improve future responses.
48 hours to first live RFP. Upload 5-10 past RFPs to seed the knowledge base, connect your integrations, and start generating. A concierge team of Field AI Engineers handles deployment.
Tribble holds SOC 2 Type II certification. The platform uses zero customer data to train shared AI models. Every response includes source attribution and full audit trails, and configurable approval workflows enforce governance at every step.
Legacy tools require teams to maintain static answer libraries. Tribble generates responses from a living knowledge graph that updates in real time from connected systems. Every deal outcome feeds back into the intelligence layer, so the 500th proposal carries the weight of every win before it. The platform also extends beyond RFPs into call intelligence and win/loss analytics.
B2B teams in regulated industries handling 20+ RFPs or security questionnaires per quarter. Healthcare IT, financial services, government, and cybersecurity teams see the biggest impact. Current customers include Salesforce, UiPath, Sprout Social, and TRM Labs.
Tribble imports RFPs in XLSX, DOCX, and PDF formats. A browser extension captures directly from procurement portals including Ariba, Coupa, WHISTIC, and OneTrust. Responses export in the original format.
When a prospect asks a technical question in a Slack Connect channel, a rep @mentions Tribble and gets a cited answer back in seconds — pulled live from 15+ connected sources like Salesforce, Google Drive, Confluence, Notion, and proposal libraries, rather than a static Q&A library that goes stale. In internal channels, the agent can also auto-reply, though it waits 60 seconds for a human response first so it supplements your SMEs rather than cutting them out. Teams can upload whole RFPs or security questionnaires to Slack and have Tribble draft them end-to-end from the same knowledge base. Every answer arrives with source citations and a last-updated date so reps can verify before sending to a prospect.
Traditional Slack bots follow pre-programmed rules and return fixed outputs; generic AI apps draft plausible-sounding answers with no grounding. Tribble's agent uses retrieval-augmented generation against your live, verified sources, so every response is tied to a specific document — which is what meaningfully reduces hallucination. A confidence score acts as a safety layer: if the agent isn't certain, the question auto-routes to the right SME with the original prompt, the attempted answer, and full channel context. The SME's reply is then captured and indexed, so accuracy improves automatically with every exchange, and Tribblytics tracks which answers ended up in won deals, closing the loop.