Turn every incoming RFP into an on-brand, ready-to-send draft — trained on the proposals that already close. The agent reads the requirements, pulls your pricing and proof, and writes the response in your format.Result: your experts stop assembling documents and start commanding volume.
Stop rebuilding the same sections by hand. Every draft starts from what already won.
Pricing, specs, and lead times pulled automatically — your judgment goes to the final call, not the assembly.
Respond to more RFPs without adding headcount. 10 responses a day becomes 100.
Feed it an incoming RFP. It reads the requirements, pulls your pricing and proof, and writes a ready-to-send draft in your format.
The incoming RFP, plus any overrides you set — pricing, site, tailoring.
It matches requirements against your knowledge base of winning work.
A finished Word draft in your format, with a plain-English recap.
The agent's knowledge base is built from your own materials — with past winners as the core.
The core of the knowledge base — the agent learns what already closes.
Rate cards and cost inputs, so quotes are grounded in your real numbers.
Facility, region, and capability data for site-specific responses.
Boilerplate, case studies, and specs — reused consistently, never rewritten from scratch.
Keep every response perfectly on-brand and consistent — the agent fills your fixed structure.
The agent builds the structure from the RFP itself — ideal when every buyer asks differently.
The agent fully drafts — a quick human scan, then send.
A strong first draft your domain expert reviews and finalizes.
Reaches ~80% from your data alone — then climbs with every approval.
An orchestration layer directs top models — GPT, Claude, Gemini, and open-source — toward exactly what your RFP needs.
The agent is not the model. The orchestration layer and your knowledge base are where the real expertise lives — model-agnostic and cost-optimized for every task.
The agent clears the assembly work; your people make every call. Adoption is designed in — not hoped for.
Nothing ships without your team's sign-off — their judgment is the QA.
Your best estimator stops assembling documents and starts commanding volume.
The message that works: we're keeping the team — we're cutting the busywork.
We'll build a working agent on your real proposals — so your team can feel the value before any commitment.
A few historic winning proposals plus the RFPs they answered, sent securely.
No integrations, no lift on your side — we ingest and configure everything.
We run 2–3 real drafts; you react, and the agent sharpens from there.
The agent reaches roughly 80% draft quality on day one, built from your own winning proposals — then it climbs with every draft your team approves. Nothing ships without expert sign-off.
Both. Template mode locks every response to your fixed structure so responses stay perfectly on-brand. RFP-adaptive mode builds the structure from the RFP itself — ideal when every buyer asks differently.
A few historic winning proposals plus the RFPs they answered, shared securely. There is no lengthy integration project — we ingest and configure everything.
Yes. Deployments are client-instanced with strict data segregation, your data never trains the underlying models, and the platform is SOC 2 Type II audited with AES-256 at rest, TLS 1.2+ in transit, and RBAC + MFA access.