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San Francisco, CA, USAFounded 202042+ employeesPrivate
$3.2M raisedSeed· last: seed (Sep 2023)· 2 rounds
Backed by(5 investors)

Respaid is a fintech startup that is revolutionizing debt recovery for businesses. Their platform combines the expertise of amicable debt collectors with AI technology. offer transparent pricing based on successful debt recovery, making it easier for businesses to manage their cash flow.

Founders

YC S23

Hiring Pitch

Hey, we're Respaid. We help businesses recover unpaid B2B invoices faster—with respect. Our AI-powered platform gets 50% of your invoices paid within 20 days, dramatically outperforming traditional agencies. Starting is simple: upload an Excel file, and our system handles the rest—no integration or heavy IT resources needed. We optimize every outreach using data and personalization, protecting your brand's reputation while improving bottom line results.

We serve global companies from high-growth startups to enterprise brands, including DoorDash, Deel, Flexport, Clipboard Health, and Vanta. Today, Respaid is trusted by 750+ customers, used in the US, Europe, and beyond, led from our San Francisco HQ by a diverse, passionate team. Join us as we set a new standard for respectful, effective B2B collections—helping innovative businesses unlock the cash flow they've earned.

Tech Stack

We use AI—including the latest large language models, ML-driven prediction, and robust automation pipelines—to optimize B2B collections for clients worldwide. Our AI determines the best channel, timing, and language for every interaction, with respectful communication as a core principle. Product advancements in the last year include advanced payment analytics, workflow automation at scale, and state-of-the-art integrations (Zapier, direct API, CSV). We value shipping, learning fast, and collaboration—engineers and product work closely with data, ops, and customer teams. Technical challenges: scaling to 1,000+ clients, cold-start prediction, security, and multi-market compliance. Tech stack: Python, Typescript, Postgres, AWS, ML (transformers/LLMs), and event-driven microservices.

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