Invisible Collector
Pedro Mendes identified a massive inefficiency in how companies manage receivables. With 76% of money transacted worldwide based on credit, yet companies largely unstructured in their collection processes, he saw a clear market gap. Rather than waiting for customers to remember to pay, why not reach out proactively and intelligently stimulate payment before defaults happen?
Launched in January 2016, the Invisible Collector team spent roughly 14-15 months developing their cloud-based system alongside initial test customers. They built an AI-powered interaction engine that doesn't just send generic payment reminders—it determines the optimal timing, tone, and message for each debtor. The system can even run A/B tests on different collection strategies to see what works best. Development finally culminated in a commercial release in November 2016.
Instead of scaling with marketing spend or relying on word-of-mouth, Pedro's team took a surgical approach: LinkedIn direct outreach. They searched for CFOs and IT managers at utility companies and professional credit collection agencies—the exact personas with budget and pain. Their pitch was simple: a 2-3 line message asking, "Do you want to get your money faster? Please reach us. We have an online AI based system to revolutionize or to ramp up your collection process." The response rate was strong enough that they built a meeting, discussed the prospect's existing collection process, then demonstrated their solution. It worked—their first customers came via this direct-sales channel.
The LinkedIn + direct-sales model proved remarkably effective. Within a year of commercial launch, they'd signed 15 corporate customers—many of them professional credit collection companies who became both resellers and partners. Notably, Pedro's team avoided the trap of trying to build a self-serve product too early. Instead, they stayed hands-on, focusing on the highest-intent buyers: people already in the collections business.
By the time of this interview, Invisible Collector was generating $45,000 per month in revenue (15 customers × ~$3k average monthly fee), entirely bootstrapped with zero churn so far. The team had grown to 6 people across Portugal and Spain and was already cash-flow positive—a rare achievement for a young SaaS company. Rather than raise capital to survive, they were raising $500k at a $1.5M pre-money valuation specifically to hire expertise in online marketing channels and fund an AI product enhancement. Two serious investors (one corporate fund, one FinTech-focused angel from Spain) had already tabled proposals.
Similar Companies
247.ai
$25.0M/mo247.ai, founded by PV Cannon in 2000, is an AI-powered customer service automation platform serving over 150 enterprise customers with $300M+ in ARR. The company raised only $20M from Sequoia (2003) and bootstrap, achieving 10% net profit margins while maintaining a 12-month CAC payback period and 100% net revenue retention. Despite a security breach setback around 2018, 247.ai has recovered and recently achieved 20% new revenue booking growth in their best quarter.
Madwire
$10.0M/moMadwire is a comprehensive SaaS platform for small businesses (1-100 employees) that combines CRM, payments, invoicing, billing, e-commerce, and multi-channel marketing tools in a single platform. Founded in 2009, the company has grown to $120M ARR serving 20,000 customers with an average revenue per user of $500/month, while maintaining strong unit economics ($3,000-$4,000 CAC with 3-month payback) and recently turning profitable with a focus on reaching 15-20% EBITDA margins. The company is exploring an IPO within 12-18 months without having raised substantial capital beyond an initial $7.5M.
Brandwatch
$5.0M/moBrandwatch is an enterprise SaaS social intelligence platform founded in August 2007 by Giles Palmer that crawls 80 million websites and aggregates social media feeds to provide brands with real-time insights about conversations mentioning them and competitors. Operating profitably at scale with 1,500 enterprise customers paying an average ACV of $30,000, the company generated over $60M ARR in 2017 and grew approximately 30% year-over-year while maintaining a disciplined approach to capital deployment.
Braze
$5.0M/moBraze (formerly Appboy) is a customer engagement platform founded in 2011 that helps large consumer-scale companies orchestrate personalized messaging across multiple channels. With 600 enterprise customers paying $100k+ ACVs, the company has grown to ~$60M ARR (5M/month) with a net revenue retention of ~140%, demonstrating strong expansion revenue from existing customers. Having raised $170M total and grown to 300 employees, Braze is positioned to reach $100M+ ARR within the next year.
Jellyvision
$5.0M/moJellyvision evolved from a 1990s gaming company making virtual game show hosts on CD-ROMs into a B2B enterprise SaaS platform called Alex. Since relaunching in 2002, they've built a subscription business helping large employers navigate employee benefits decisions, now serving 1,400 customers representing 18 million employees with a $60M+ ARR, over 100% net revenue retention, and a 51% five-year CAGR—all while remaining largely bootstrapped and cash-flow positive since 2009.