Estimated deal
$50K
initial RTX client relationship
$50K Enterprise Win — How Cypress AI Turned an RTX Demo Into a Client
Work avoided
18.5–27.75h
estimated research and writing time
Enterprise win
RTX
became a client from the initial campaign
Intro
Cypress AI
Cypress AI helps enterprise proposal teams respond to RFPs faster without giving up accuracy, traceability, or control. Its platform turns approved company knowledge and past proposal content into sourced first drafts, standardized requirements, and reusable answers for teams operating inside complex, high-trust buying environments.
That made outbound unusually demanding. Cypress AI needed to reach proposal, capture, procurement, and business-development leaders who are skeptical of generic AI claims. The company used ColdGenius to research those stakeholders and write role-specific outreach at scale. The initial campaign booked a demo with RTX, that demo turned RTX into a Cypress AI client, and a later expansion run added 10 more qualified leads in 84 seconds.
Results at a glance
- RTX became a Cypress AI client after a demo booked through ColdGenius outreach
- An estimated $50,000 initial deal created a direct revenue outcome from the campaign
- 111 personalized drafts for 82 discovered contacts preserved the quality of hand research without the manual bottleneck
- 10 qualified leads added in 84 seconds gave the team another high-fit expansion audience without manual list building
The first ColdGenius batch booked a demo with RTX. That demo turned RTX into a Cypress AI client.
Campaign outcome
Before ColdGenius
The problem
Cypress AI was selling a specialized enterprise product into long, complex buying cycles. A generic message about “automating RFPs” would not earn attention from leaders responsible for compliance, institutional knowledge, proposal quality, and security. Every email had to connect Cypress AI to the recipient's actual role and workflow.
The team knew how to write that message by hand: review a prospect's work history, understand the account, choose the most relevant product angle, and write a short email that sounded thoughtful rather than automated. The process worked for a small number of contacts, but it could not reach enough stakeholders across large enterprise accounts or maintain consistent follow-up.
The shift
Why ColdGenius
Cypress AI gave ColdGenius a detailed brief covering its product, ideal buyers, tone, and proof points. ColdGenius discovered 82 high-fit contacts across proposal, sales, and business-development roles, prioritized them for the initial pass, and generated 111 complete email drafts.
Before choosing an angle, the platform reviewed each prospect's role and work history. Proposal operations leaders could receive messaging about knowledge-base maintenance and source reuse. Capture executives could receive messaging about faster first drafts and bid decisions. Security-conscious stakeholders could see traceability and deployment control first. Follow-ups added a distinct angle rather than repeating a generic reminder.
Before & after
The transformation
Hand-picked outreach became a repeatable enterprise motion. Manual profile research became role-aware personalization generated for every contact. The initial run produced 111 tailored drafts for 82 discovered contacts, and a later expansion added 10 more qualified leads in 84 seconds. The RTX win proved that the system could do more than create activity: it could open and convert a conversation inside one of the world's largest aerospace and defense companies.
By the numbers
Key metrics
Before-and-after figures combine reported outcomes with directional estimates.
| Metric | Before | After |
|---|---|---|
| Outbound-attributed pipeline | ~$0 | ~$50K |
| Contact-to-conversation rate | ~1–2% | ~5–8% |
| Reply rate | ~2–4% | ~8–12% |
| High-fit lead rate | ~30–40% | ~75–85% |
| Tools and research labor | ~$2K–$4K/mo | ~$500–$1K/mo |
Zoom out
The takeaway
Specialized enterprise products do not win with broader claims or more volume. They win when the message shows a buyer why the product applies to the part of the workflow they own. Cypress AI made that specificity repeatable: product context guided the pitch, work history guided the opening, and distinct follow-ups kept the conversation useful. The result was a named enterprise client, an estimated $50,000 initial relationship, and an outbound motion the team could scale.
Customer profile
- Website
- cypressai.co
- Industry
- RFP and proposal automation
- Customer type
- Enterprise B2B software
