ReadySetLaunch · Jul 2026
Case study highlighting Respaid's high-volume invoice recovery, integration demand, and strong early traction signals.
Respectful B2B Debt Collection, Powered by AI
Company research
Public company, workplace, funding, and market signals
Overview
Respaid is a San Francisco-based, remote-first AI collections company that helps businesses recover overdue B2B invoices without damaging customer relationships. It combines respectful multi-channel outreach, lawyer-backed/white-label collections, and AI-driven timing/message optimization, with public claims of about 50% recovery in 20 days and a success-based pricing model.
Primary product
AI-powered respectful B2B collections / accounts receivable recovery platform
Founded
2020
Headquarters
San Francisco, California, United States
Team size
11-50
Work style
Remote
Industry
Financial Services
Sub-industry
B2B collections / accounts receivable recovery
Offices
490 Post Street, Suite 640, San Francisco, CA 94102, United States
Business model
success-based collections
annual SaaS subscription
white-label software
lawyer-led collections
Funding
Stage
Seed
Total raised
$3.2M
Latest round
Seed · Jul 2023
Latest amount
$500K
People & investors
Leadership
Founder & CEO
Chief Technology Officer
Chief Product Officer
General Manager
Work & culture
Remote-first, fast-moving, customer-obsessed, and focused on respectful collections and brand protection.
Work style
Remote
Compensation
No public salary bands were found. The careers page does disclose bi-annual performance-based salary reviews, suggesting a formal review cadence rather than published compensation ranges.
Benefits
$2,000/year learning budget
bi-annual performance-based salary reviews
health coverage
dental coverage
vision coverage
personal birthday time off
family birthday time off
Product & market
Pricing
Tiered annual pricing plus collection fees / success fees; public site lists Standard, Premium, and Enterprise plans.
Differentiators
- —Respectful, brand-preserving outreach instead of aggressive collections
- —AI chooses timing, message, and channel across email, voice, SMS, iMessage, and WhatsApp
- —No IT/ERP integration required to start from CSV/Excel
- —Direct payment to the original creditor
- —White-label and lawyer-led collection modes
- —SOC 2 Type II / CCPA / CPRA posture
- —Success-based pricing aligned to recoveries
Technology
React
TypeScript
Kubernetes
Terraform
dbt
SQL
LLMs
Whisper
voice cloning
AWS
AWS KMS
Stripe
Datadog
MFA
RBAC
Customers
DoorDash
Checkr
Plaid
Rippling
Redis
Deel
Flexport
Microsoft
Dell
Twilio
Competitors
Traditional collection agencies
Upflow
Gaviti
HighRadius
YayPay
Collectiv AI
Scale & contact
Estimated revenue
$3M-$5M estimated annual revenue
Estimated monthly visits
5.9K
Traffic estimate as of Oct 2023
Latest news
BFM Business · Apr 2026
John Banner appeared on BFM Business's French Tech segment to explain how Respaid uses AI to automate debt recovery services.
Persana AI · Sep 2025
Profile article summarizing Respaid's founding in 2020, YC S23 participation, and respectful AI-driven collections approach.
FrenchWeb · May 2024
FrenchWeb profiled Respaid's AI-assisted collections model, founder background, and seed funding round.
Y Combinator · Jul 2023
YC launch post describing the product, customer base, pricing, and launch into the US market.
Jobs and careers at Respaid
0 jobs at Respaid
No open positions
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