Cypress AI helps proposal teams answer RFPs faster. Its platform can get teams to a first-pass RFP response in 3 minutes, turning a company's existing knowledge base, past proposal content, and institutional expertise into AI-generated drafts with sentence-level sourcing, standardized RFP breakdowns, analytics, and single-tenant deployment options for enterprise buyers. The product is built for teams where speed matters, but accuracy, trust, and security matter even more.
That made outbound sales unusually demanding. Cypress AI was not selling a lightweight productivity tool to small teams. It needed to reach enterprise proposal, procurement, capture, and business development leaders who live inside complex buying cycles and who are rightly skeptical of generic AI claims. The company needed every message to sound researched, specific, and relevant to the prospect's actual RFP workflow.
Cypress AI used ColdGenius to run deeply personalized outbound campaigns into enterprise accounts. The first batch helped book a demo with RTX, one of the largest aerospace and defense companies in the world, and that ColdGenius.ai-driven demo turned RTX into a Cypress AI client. Using a $50,000 estimate for the initial deal, that one customer represented meaningful near-term revenue before counting expansion potential or the strategic value of having a foot in the door at a major defense contractor. After proving the motion, Cypress AI scaled the same researched approach to thousands of personalized emails per month without turning outreach into generic blasts.
The Challenges
Enterprise Buyers Needed Specificity
Cypress AI's buyer is not impressed by broad AI language. Proposal leaders, capture teams, and business development executives already know RFP work is painful. What they need to hear is why a product applies to their exact motion: the volume of proposals they manage, the compliance pressure around source material, the knowledge-base maintenance burden, the need to reuse winning language without losing accuracy, and the review process that happens before anything reaches a customer.
A generic email about "automating RFPs" would get filtered out immediately. Cypress AI needed outreach that reflected each prospect's role, work history, industry context, and likely proposal process. That level of personalization is hard to produce consistently by hand, especially when the target accounts are large enough to contain many possible stakeholders across business units.
Manual Research Did Not Scale
The Cypress AI team knew what made a strong outreach message: mention the prospect's actual background, connect that experience to RFP response work, and explain Cypress AI's value in plain language. Doing that manually meant reading LinkedIn profiles, checking company pages, finding the most relevant angle, and then writing a careful email that did not sound overproduced.
That process worked for a small number of hand-picked contacts, but it did not scale to the number of enterprise stakeholders Cypress AI needed to reach. The team needed a way to keep the quality of manual research while increasing volume and maintaining a steady follow-up cadence.
The Message Had to Stay Human
Cypress AI's own brand voice is confident but direct. The company wanted emails that felt curious, thoughtful, and professional without drifting into corporate jargon. Each message needed to be short enough for an executive inbox, specific enough to earn attention, and clear enough to move the conversation forward.
That balance is difficult with ordinary sequence tools. Templates can mention an industry or job title, but they rarely capture the reason a specific person should care. Cypress AI needed outreach that looked at each prospect individually before deciding which product benefit to lead with.
The Implementation
Cypress AI used ColdGenius to build and send a multi-step outbound campaign for enterprise RFP and proposal stakeholders. Instead of asking the platform to fill variables inside a fixed template, the team gave ColdGenius a detailed brief on Cypress AI's product, buyer, tone, and proof points.
The ColdGenius AI platform discovered 82 targeted contacts across proposal, sales, and business development roles, then prioritized them for an initial pass because they showed a high degree of fit with Cypress AI's ICP. ColdGenius generated 111 personalized email drafts with complete body copy and sent 33 confirmed outreach messages from Cypress AI sender accounts. One later expansion run added 10 more qualified leads in 84 seconds, giving the team fresh prospects without another manual list-building pass.
Product Context Built Into Every Email
The campaign brief explained what Cypress AI does and why it matters: generating first-pass RFP responses in minutes, organizing the knowledge base automatically, providing sentence-level references, standardizing RFPs for faster decisions, learning from existing content, supporting single-tenant deployments, and giving teams analytics on response time and performance.
ColdGenius used that context to choose the right angle for each prospect. A proposal operations leader might see messaging about knowledge-base maintenance and reuse of past answers. A capture executive might see messaging about faster first drafts and clearer bid/no-bid decisions. A security-conscious enterprise stakeholder might see single-tenant deployment and source traceability emphasized first.
Prospect Research From Work History
The highest-value instruction in the campaign was simple: look at the prospect's work history first. ColdGenius reviewed each lead's profile and looked for relevant experience around proposals, procurement, business development, government contracting, capture management, sales operations, or other work adjacent to RFP response.
That research shaped the opening of each email. Instead of starting with a generic pitch, the outreach could reference a prospect's current role, recent work, or background in a way that naturally connected to Cypress AI's value proposition. The goal was not flattery. It was to show the recipient that the message had been written for them, not for a list.
Dynamic Follow-Up With Distinct Angles
Cypress AI used follow-up messaging that adapted the RFP automation angle to each prospect's role rather than repeating the same pitch. The sequence could sharpen the value proposition over time, connect Cypress AI to different parts of the RFP workflow, and keep the conversation moving without relying on generic reminders.
Each step was generated from the same product and tone guidance, but the emails were not clones of each other. ColdGenius wrote each touch from scratch so the follow-ups added new context instead of repeating "just checking in."
The Results
The initial campaign helped Cypress AI get in front of the kind of enterprise account that is extremely difficult to reach with generic outbound. The most important result was clear: ColdGenius.ai booked a demo with RTX, and that ColdGenius-driven demo turned RTX into a Cypress AI client. If that initial deal is estimated at $50,000, the campaign created a direct revenue outcome on top of a repeatable motion Cypress AI could scale far beyond the original contact list.
A named enterprise customer. RTX is a major aerospace and defense company with sophisticated procurement, proposal, and compliance needs. Booking and converting a demo with an account like that gave Cypress AI the kind of customer proof that matters in enterprise software: a real buyer in a high-trust, high-complexity market.
An estimated $50,000 initial deal. A single enterprise win can change the economics of an outbound campaign. At an estimated $50,000 initial contract value, the RTX relationship would be worth far more than the time saved on research and writing alone. The more important point is that the campaign did not only create activity. It created a revenue-producing customer conversation.
A foot in the door at one of the world's largest defense contractors. Winning an initial conversation inside RTX also gave Cypress AI access to a much larger relationship surface. For a product built around RFP response, procurement, capture, and proposal workflows, one successful entry point can lead to additional stakeholder conversations across teams, business units, and adjacent proposal groups that face the same operational problem.
18.5 to 27.75 hours of research and writing avoided. Cypress AI's strongest emails required prospect-specific research and careful role-based writing. At a conservative 10 to 15 minutes per hand-researched email, the 111 ColdGenius-generated drafts represented 1,110 to 1,665 minutes of manual work removed from the team. That is roughly 18.5 to 27.75 hours saved before counting list building, follow-up tracking, or sender management.
82 high-fit enterprise prospects worked without spreadsheet management. The ColdGenius AI platform discovered 82 contacts, including a 72-contact core campaign and a 10-contact earlier campaign, then prioritized them for the first pass based on ICP fit. ColdGenius kept the audience, generated messaging, sender accounts, and follow-up workflow organized inside one system instead of forcing the team to manage lists, notes, drafts, and send status manually.
Thousands of personalized emails per month. After RTX came from the initial batch, Cypress AI expanded the same ColdGenius motion to thousands of personalized emails per month. Product context, work-history research, and role-specific angles stayed built into the workflow, so higher volume did not turn the campaign into generic blast outreach.
Sharper positioning for RFP stakeholders. The campaign forced Cypress AI's value proposition into concrete buyer language. Instead of talking broadly about AI, the outreach connected the product to the daily work of RFP response: finding the right source material, creating an accurate first draft, reviewing answers faster, and keeping institutional knowledge organized.
More personalized enterprise outreach without manual bottlenecks. ColdGenius let Cypress AI preserve the quality bar of hand-researched emails while removing the manual work that limited campaign volume. Every message could use role and work-history context without asking the team to research and write every email one by one, and the 84-second lead expansion showed the same advantage on the prospecting side.
A repeatable outbound motion. The RTX demo and client win gave Cypress AI more than a single customer. It proved a repeatable way to approach large organizations: identify the right proposal and business development stakeholders, research their background, connect Cypress AI to the part of the RFP process they own, and follow up with useful, specific messaging.
Key Takeaways
Cypress AI is a strong example of how specialized B2B AI companies can use outbound effectively without sounding generic. The company was not trying to blast the market with vague automation claims. It had a specific product, a specific buyer, and a message that needed to adapt to each person's role inside a complex enterprise account.
ColdGenius handled the research and writing layer that made that possible at scale. It turned Cypress AI's product knowledge into tailored emails, used prospect work history to find relevant openings, and kept the follow-up sequence moving without watering down the message, first for the RTX-winning batch and then for thousands of personalized emails per month.
For technical founders selling into enterprise accounts, the lesson is straightforward: the more specialized your product is, the more specific your outbound has to be. ColdGenius helped Cypress AI make that specificity repeatable, and the ColdGenius-driven demo helped turn RTX into a client.
