Klipy VS YieldStack

Klipy's answer

Jung (co-founder, prior ML startup exits) was in a board meeting when a hot prospect replied — and lost the deal to a competitor who responded in 10 minutes.

He built the first version to draft his own follow-ups automatically. After sharing it with early users, 4,450 agent conversations in 8 weeks revealed the same pattern: "when A happens, do B, I'll approve, then execute C." 75% of requests were for execution nobody else could deliver.

That gap between conversation and revenue-producing action became the product. Backed by UBS, AppWorks, Google Cloud, and Microsoft for Startups.

YieldStack's answer:

Rommin Adl and Daniel Chesney founded YieldStack to simplify commercial real estate financing. The platform brings deal preparation, lender matching, offer comparison, and closing coordination into one workflow, combining AI-assisted analysis with human brokerage expertise.

Klipy's answer

• Sunil Gulati, Sr Director Sales, TekPioneers
• Phil Bouwman, Head of Strategy, Million Circles
• Alexander King, Co-Founder, Regulars
• Chip Royce, Founder, Flywheel Advisors

YieldStack's answer:

The largest CRE Lenders in the USA

Klipy's answer

B2B sales teams and GTM-background founders who lose deals to slower competitors.

• Primary: SaaS founders who run their own sales — 5–50 deals in flight, no time for manual CRM
• Secondary: Lean sales teams of 5–20 reps where the bottom 50% need to follow up at machine speed
• Also: RevOps leaders and VPs of Sales who need AI execution that passes SaaS procurement

YieldStack's answer:

Commercial real estate investors, developers, operators, and mortgage brokers seeking bridge, DSCR, fix-and-flip, construction, multifamily, and permanent financing across the United States.

Klipy's answer

• AI: Google Gemini + Claude via Vercel AI SDK, RAG / vector search on conversation data
• Backend: Convex real-time serverless database, Next.js 15
• Integrations: Nylas v7 (email/calendar), Recall.ai (meeting transcription), Unipile (LinkedIn/WhatsApp/Telegram)
• Auth & Payments: Clerk, Stripe, Orb (usage metering)
• Infrastructure: Vercel, Google Cloud, Microsoft Azure

YieldStack's answer:

AI integrations supporting the platform’s workflows.

Klipy's answer

Your agent occupies the only position in the market that works: fast AND supervised.

Every other tool either records and suggests (slow) or acts without you (fast, but burns domains and gets 0 replies). Your agent watches every conversation, drafts the follow-up with full deal context, and waits for your approval. Speed without giving up control.

• 6 minutes vs. the 47-hour industry average
• Supervised: every draft requires your approval — nothing sends without you
• Conversation-native: RAG on real conversations, not what reps remember to type into a CRM
• Multi-channel: email, calls, LinkedIn, WhatsApp, and Telegram in one agent
• 2-minute setup: first draft appears in 60 seconds. No workflow builder.

YieldStack's answer:

YieldStack combines AI-assisted lender matching with hands-on commercial mortgage brokerage. Borrowers submit once, compare financing options, and work with a team that handles structuring, negotiation, and closing coordination. Borrowers approve lender outreach, with no upfront fees and a broker fee paid only at closing.

Klipy's answer

78% of deals go to whoever responds first. Not whoever's best. Your agent makes that speed structural — not dependent on how fast you type.

vs. Gong: Gong is the best call recording platform. But recording a conversation doesn't follow up on it. Your agent does.

vs. HubSpot / Salesforce: The most popular CRMs for sales teams. But your CRM only knows what reps remember to type. Your agent knows what was actually said.

vs. Fireflies / Otter.ai: Great for transcription. Transcripts don't close deals. Your agent drafts the follow-up from the conversation — in 6 minutes.

vs. autonomous AI SDRs (11x, Artisan): 1,400 emails, 0 replies. Burns domains. $550/positive reply. Your agent drafts from real conversations and you approve before anything sends. That's supervised, not autonomous.

Speed of a machine. Control of doing it yourself. That's why it works and they don't.

YieldStack's answer:

YieldStack helps borrowers evaluate the whole financing offer: rate, leverage, fees, reserves, prepayment terms, and closing requirements. Its platform organizes the process, while its brokerage team helps borrowers find suitable lenders and move the deal forward. One submission gives borrowers a coordinated financing process without an upfront brokerage fee.