Murphy
Barcelona startup using AI agents to contact borrowers and negotiate repayment plans. It raised $15M in 2025, led by Northzone.
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Podcast Episode
🎙️ Deep Dive
Daily News - 14 July 2025
Listen to the episodeAbout Murphy
Debt collection is still one of the most manual processes in finance: costly call centers, rigid scripts and a long tail of small-ticket debts that are not worth chasing and end up written off. Murphy, a startup based in Barcelona, is trying to replace that chain with conversational AI agents that contact borrowers in arrears, verify their identity, assess what they can afford and agree a repayment plan within limits set by the creditor. Northzone, which led the round, describes debt servicing as a global industry of more than $300 billion that is ripe for disruption. The product is an omnichannel platform. According to the company website, the voice agent has a median reply time under 0.6 seconds and works alongside WhatsApp, SMS, RCS, email and a self-service portal where the customer can review and pay the plan. A contact strategy picks timing and frequency for each person, while configurable negotiation rules define which payment options are allowed. Every call gets an automated compliance score against local regulation and the client's own rules, and each agreement stays linked to its recording. The platform connects to dialers and CRMs or runs on file exchange, and it can be deployed on the client's servers, in a private cloud or on Murphy's own infrastructure. The company was founded in 2024: the press says late 2024, and Borja Solé Fauria's Crunchbase profile gives November 2024. Solé Fauria is co-founder and CEO; according to Northzone, he lived the pain of handling thousands of micro-invoices first-hand while working as a CFO. The CTO and co-founder is Marc Sánchez, who per Northzone built large-scale communications infrastructure at Twilio. The current website also lists a third co-founder, Dmitry Zlokazov, as CPO, who does not appear in the 2025 coverage. On 14 July 2025 Murphy came out of stealth announcing $15 million (about EUR 12.8 million), made up of a $2 million pre-seed and a $13 million seed. Northzone led, with ElevenLabs, Lakestar, Seedcamp, Enzo Ventures and existing investors. The money is meant to build the product, grow the technical and go-to-market teams and expand in Europe and the United States. In its 2025 announcements the company claimed recovery rates about 40% higher and collection times 75% shorter than traditional methods, plus hundreds of millions of dollars in debt already handled for banks, telecoms, utilities and mobility companies in Europe. These are company claims, not independently verified. The 2026 website cites 14 markets, 25 languages, more than 150,000 communications a day, and hubs in London and Dubai. A blog post describes a 90-day pilot with a tier-1 Spanish bank on accounts 0 to 90 days in arrears, in which Murphy reportedly recovered 81% against 77% for the bank's own call center. That figure also comes from the company. Why it matters: Murphy is a concrete case of voice AI agents deployed in a regulated, high-volume process, where compliance, traceability and measurable results count for more than technical novelty. The main risk is that its edge depends on banks and regulators trusting an AI agent to hold the conversation with the debtor.
The Story
Founded in 2024 in Barcelona by Borja Solé Fauria (CEO) and Marc Sánchez (CTO); the company website lists Dmitry Zlokazov (CPO) as a third co-founder. It emerged from stealth on 14 July 2025 with a $15M round.
How Murphy works
Business Model
B2B software for banks, lenders, telecoms, utilities and collection agencies: the platform can run on the client's servers, in a private cloud or on Murphy's cloud, with dedicated deployment engineers handling integration.
Revenue Model
Pricing is not public. The company pitches a claimed cost saving (up to 60% lower than collection agencies and in-house teams) at equal or better recovery rates.
Products & Services
Key Products
- Murphy omnichannel AI agent platform for collections and financial remediation (voice, WhatsApp, SMS, RCS, email)
- Murphy customer portal (self-service plan review and payment)
- Automated compliance scoring and audit trail for every call
- Contact strategy, skip tracing and identity verification modules
Core Use Cases
- Recovering arrears (accounts 0 to 90 days past due) for banks and lenders
- Recovering small-ticket debts that are uneconomic to chase with traditional call centers
- Negotiating repayment plans with an affordability assessment of the debtor
- Tracking instalment payments and broken promises to pay
- Supporting collection agencies, debt buyers, utilities and telecoms in managing unpaid balances
Market & Clients
Key Customers
Banks, consumer lenders, telecom operators, utilities, mobility companies, collection agencies and debt buyers in Europe; the website also mentions asset finance, insurance and healthcare. A 90-day pilot was run with a large Spanish bank that is not named.
Geographic Presence
How Murphy competes
Competitive Advantages
- Median voice AI reply time under 0.6 seconds, according to the website
- Automated compliance scoring of every call and traceable agreements, instead of sample-based checks
- Flexible deployment: on the client's servers, in a private cloud or on Murphy's cloud
- Claimed coverage of 14 markets and 25 languages with local regulatory rules built in
- Claimed results: +40% recovery and -75% collection time in 2025; 81% against 77% recovery for a bank's call center in the pilot
How Murphy grows
Growth Strategy
According to the 2025 announcements, use the round to broaden multilingual capabilities, automation and compliance tooling, grow the technical and go-to-market teams and expand in Europe and the United States; it now runs hubs in London and Dubai alongside its Barcelona base.
Distribution Model
Direct enterprise sales to financial institutions and service companies, with guided onboarding and dedicated deployment engineers; the platform integrates with dialers and CRMs or through file exchange.
Moat (Defensibility)
The moat is not stated by the company. The levers cited (low latency, built-in compliance and audit, dialer and CRM integration) can be copied; in our editorial view, the advantage will rest on performance data accumulated with clients and on the depth of integrations.
Regulatory Context
Debt collection is a regulated activity, with local rules on contact hours, call recording and disclosures to the debtor. Murphy says it builds in these rules for each jurisdiction, is GDPR compliant and aligned with the EU AI Act, and cites ISO 27001 and SOC 2; these statements come from the company website.
Key Risks
- Dependence on banks and regulators trusting an AI agent to contact debtors
- Regulatory and reputational risk: a compliance error in a single call can have legal consequences
- Performance metrics are company-reported and not verified by third parties
- Concentration on a few large enterprise clients with long sales and integration cycles
- Competition from collections platforms and other voice AI agents, not systematically analysed in this profile
Strategic Insights
- Small-ticket debt has poor economics with traditional call centers: that is the space where an AI agent can make worthwhile what is abandoned today.
- ElevenLabs, a voice AI provider, is among the investors: a sign of the voice sector's interest in vertical applications.
- Compliance is presented as part of the product, with automated scoring of every call and traceable agreements, because in this market the trust of banks and regulators is the condition for selling.
- In under two years the company went from stealth to a claimed offer across 14 markets and 25 languages, with hubs in London and Dubai beside Barcelona.
Funding & Investors
Total Funding
Funding Rounds
- 2025 - Seed: $13M (part of a $15M announcement, about €12.8M in total)
Lead: Northzone - - Pre-seed: $2M
Key Investors
Founding Team
Founders
Key Metrics
Lessons from Murphy
- Starting from a problem lived first-hand (handling thousands of micro-invoices, per Northzone) helps pick a narrow, measurable use case.
- In a regulated sector, turning compliance and audit into product features reduces friction with enterprise clients.
- Measuring impact against the client's own internal benchmark, as in the Spanish bank pilot, makes the value proposition more credible.
- A founding team mixing finance and communications engineering got to first customers before coming out of stealth.
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Read AnalysisSources
- Omnichannel AI agents for collections and financial remediation — Murphy
- Boost your debt recovery with AI (Manifesto) — Murphy
- Careers — Murphy
- FAQ — Murphy
- Blog: A tier 1 Spanish bank measured Murphy against its own call centre — Murphy
- Backing Murphy: The Future of Debt Servicing Infrastructure — Northzone
- Murphy Raises $15M to Fix the Broken Industry of Debt Servicing with AI — Seedcamp
- ElevenLabs and Northzone back AI agent debt collector Murphy in $15m raise — Sifted
- Barcelona-based Murphy raises €12.8 million to fix the 'broken industry' of debt servicing with AI — EU-Startups
- Murphy raises $15m to disrupt debt servicing with AI — FinTech Global
- Early Revolut and Klarna backers ink $15M in Murphy to replace debt collection call centres with AI agents — Tech Funding News
- Murphy Raises $15 Million for AI Debt Collection Agent — PYMNTS
- Spanish AI debt collection startup Murphy exits stealth mode after raising €12.8M — Silicon Canals
- AI Startup Murphy Emerges from Stealth with $15M to Reinvent Global Debt Collection — The AI Insider
- The top AI startups in Barcelona to watch through 2026 — Novobrief
- Spanish AI Debt Collection Startup Murphy Raises $15 Million — Finovate
- Murphy AI - venture-backed company profile — Dealroom
- Murphy 2026 Company Profile: Valuation, Funding & Investors — PitchBook
- Founded Year (Murphy / getmurphy) — CB Insights
- Borja Fauria - Co-Founder @ Murphy AI — Crunchbase
- Stealth Startup Spy #233 — Stealth Startup Spy
- Murphy - Northzone portfolio — Northzone
- Murphy AI (team) — TheOrg