RapidRFPRapidRFP
Security & Trust

Built where accuracy isn’t optional.

Federal and enterprise buyers don’t get to be wrong. RapidRFP is engineered for the trust, traceability and data isolation that high-stakes proposals demand — and your data stays yours.

Trust & security

Built for organizations where accuracy isn't optional.

Federal and enterprise buyers don't get to be wrong. RapidRFP is engineered for the trust, traceability and data isolation that high-stakes proposals demand.

Never trained on your data

Your proposals, past performance and library are yours alone. We never use your content to train shared models — full stop.

Org-isolated by design

Every organization gets its own isolated knowledge graph, embeddings and data scope. No cross-tenant bleed, ever.

Human-in-command

RapidRFP drafts and proposes; people approve. Every insertion is an accept/reject decision — you own the final word.

Fully auditable

Every system action, tool call and AI decision is logged with sources, tokens and timestamps. Accuracy is provable, not promised.

Enterprise-grade controls and a transparent compliance posture.

SOC 2 (in progress)CMMC-awareCUI handlingFedRAMP pathRBACSSO
Data handling

How your data is protected

Clear, verifiable controls — the kind your security team and your customers’ security teams expect.

  • Encryption in transit (TLS) and at rest
  • Per-tenant isolation of data, embeddings & knowledge graph
  • No training on your proprietary content — ever
  • Delete your data at any time
  • SSO (SAML/OIDC) & role-based access control (RBAC)
  • Full audit logging of system actions & sources
  • Least-privilege cloud integration scopes
  • Hosted on enterprise-grade cloud infrastructure
Trust

Security questions

No. Your content is used only at inference time to ground answers, encrypted and isolated to your tenant. It is never used to train a shared model, and you can delete it at any time.

Bring your security review.

We’ll walk your team through our controls, data handling and current attestations — and answer your questionnaire.

Self-checking loops · grounded & cited · never trains on your data