The problem in venture is no longer access to deals. It’s processing speed without missing outliers. SecureLend Agents plug into existing workflows via MCP and can: → ingest decks, DocSend links, data rooms, emails, PDFs → structure opportunities automatically → run underwriting / IC pre-checks against your rubric → draft investment memos and follow-ups → sync context across your existing stack Built for VCs drowning in inbound deals, expanding across lending, PE. Agent-native underwriting.

Framer — Launch websites with enterprise needs at startup speeds.

Launch websites with enterprise needs at startup speeds.

I started SecureLend because underwriting is still absurdly manual. Some lenders still don’t even have proper online forms. Unfortunately, not kidding. What began as a loan origination system for banks has evolved into a broader workflow stack: intent → underwrite → decide This launch focuses on VCs. Why? Because early-stage dealflow has a brutal problem: too many decks, too little time, and missing one outlier can be very expensive. SecureLend Agents plug into your workflow via MCP. You can: > Upload a deck or provide a DocSend link > Run a pre-check against your own rubric > Pull third-party context when configured — CRM, portfolio metrics, company intelligence, data rooms, compliance checks > Create an underwriting case if it looks promising > Draft an IC memo and follow-ups Example integrations include Harmonic, Visible, Affinity, DocSend, and ComplyAdvantage. The key idea: The model is not the moat. OpenAI, Claude, and Gemini are stateless horizontal brains. Real underwriting needs vertical context, state, third-party data, firm-specific rubrics, and workflow memory. That’s what we’re building.