Decide, strengthen, prove and stress-test each proposal with evidence you can trace, and keep what you learned for the next one.

Keep your workflow. Upgrade your intelligence. RiseLab sits above or beside the tools your capture team already uses, and what accumulates is a provenance-backed record of how your company competes, not another folder of proposals.
Win readiness as a band with named drivers, never a percentage — and an evidence-confidence line that says how much RiseLab actually knows about the pursuit.

Capability gaps and evidence gaps are different problems. One needs a partner; the other needs documentation. RiseLab tells you which is which.

An evidence graph extracted from your own material — contracts, people, certifications, results — where nothing becomes corporate truth until you confirm it.

Five independent reviews grounded strictly in Section M surface plausible weaknesses, deficiencies and ambiguities — with the criterion, the confidence and why it matters. Not a prediction of the government’s score.

A feature can be copied. What cannot be recreated is the record RiseLab keeps for your company: what you could prove, what each pursuit required, what you knew, inferred and did not know when you decided, what the stress test flagged, what evaluators actually questioned, and why you won or lost. Every pursuit adds structured evidence to that record. We do not claim the AI “learns how to win”; we claim exactly what is stored, with provenance.
One principle governs every screen, prompt and number: RiseLab will never present an inference with more confidence than the evidence deserves. Every driver, finding and recommendation is tagged KNOWN, INFERRED or UNKNOWN, and an unknown stays unknown.
Most teams stitch this together from a tracker, a folder of old proposals, and late nights. RFP Copilot runs it as one pipeline.

Continuous scanning across SAM.gov, Grants.gov, Govly, TX SmartBuy, World Bank, and USAspending re-competes. Fit scoring against your company profile, deep-score analysis, and a Go/No-Go you can defend.
Upload the PDF or DOCX and the shredder extracts a structured requirement set in about thirty seconds — mandatory flags, eval criteria, submission format, attachments. Reviewers correct any line inline; nothing is locked behind the AI.
Responder drafts one section per requirement, grounded against your content library. Assembler composes the document and runs a grounding audit that flags any claim without evidence. You choose which assets each proposal may cite.
Coverage stats (requirements answered, citations used, grounding score), a chat panel to interrogate the draft, and two buttons that mean what they say: approve into submission prep, or send back for rework with your feedback.
Submission stamps who sent what to whom. Follow-up milestones appear automatically — receipt confirmation, status inquiry, FAR 15.505/15.506 debrief windows — with an RE-threaded composer prefilled with the original recipients.
Win/loss tracking, debrief extraction, a prediction ledger that grades what the stress test flagged against what evaluators actually said, and award intelligence that watches for results after you submit.
USAspending awardee profiles, buyer-agency dossiers with mission and budget, and award portfolios you can save straight into your evidence library — public records, honestly labeled.
Upload past performance and boilerplate, import your own won federal contracts by UEI, or pull documents in from Google Drive and SharePoint. Every asset carries a review clock.
An org-tunable policy decides how much of a draft must cite real evidence before it can be approved. Fabrication is flagged, not shipped.
Add reviewers with workload visibility, place custom agents before or after the drafting wave, and ask the workspace assistant questions like "which proposals are due next week?" — answered from live data.
The full pursuit workflow — pipeline, shredding, review, follow-ups — in a signed, notarized macOS app with the same account.
Section-structured drafts, capability statements, and final versions ready for human polish. Nothing is transmitted to any agency by the platform — you stay in control of send.
AI proposal tools live or die on trust. Here is where ours draws the line.
Every proposal passes a human review gate before submission prep, and the platform never transmits anything to an agency. The audit trail records who approved what.
The grounding audit scores every claim against your actual content library. Drafts that fall below your grounding policy cannot be approved until a human addresses the gap.
No point-estimate win probability, no price-to-win curve, no "+N%" claims. Readiness is a band with tagged drivers; the stress test is a review, not a forecast; shaping impact is measured, never asserted. Unknowns stay unknown.
Competitors’ winning proposal documents are barred from disclosure by law (41 U.S.C. § 4702). Tools that imply otherwise are selling you something else. We give you the legal signal instead: award histories, buyer budgets, incumbent patterns.
Self-serve tiers. Change or cancel from inside the product — no procurement call required.
The same multi-agent orchestration, RBAC, and audit infrastructure that runs our other vertical solutions — not a wrapper around a single prompt.
Shredder, Responder, Assembler, and Aggregator run as a real team with pre/post placement for your own custom agents.
Cloud API models, fine-tuned models, or endpoints deployed on the platform — switchable per conversation from the chat composer.
Uploads, edits, approvals, submissions, and follow-ups are logged. Compliance can reconstruct the chain of custody for any document.
Pick a time now. Bring an RFP you are actually pursuing and your existing materials; we will walk it through Decide, Strengthen, Prove and Stress test on your document.
Prefer email? Send us the solicitation and we will propose a time.
Bring an RFP you're actually pursuing and your existing materials. In one session you will see the reasons it fits and what is known, inferred and unknown; your material gaps and which are capability versus evidence; which claims you can substantiate and their provenance; and how the draft holds up against Section M. Then ask your current system the same questions.