Verc provides an AI‑native, cloud platform that lets loan servicers and collection agencies define servicing workflows in natural language, then automates document processing, dispute resolution, and borrower outreach across voice, text, and data systems. The platform builds a unified context graph linking loan, CRM, dialer and payment data, delivering compliance‑aware, auditable automation with optional human‑in‑the‑loop oversight.
Funding
$300M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
1OGFounders
Product
Problem
Loan servicing and collections teams rely on fragmented legacy systems, manual workflows, and extensive engineering effort to handle document processing, dispute resolution, and multi-channel borrower interactions, leading to high labor costs, compliance risk, and slow response times.
Solution
Verc offers an AI-native, cloud‑based platform that lets operators describe servicing and collections workflows in natural language, which AI agents then execute across voice, text, and structured data channels. The system builds a unified context graph that connects loan management systems, dialers, CRMs, documents, call transcripts, and payment histories, providing a single source of truth for each borrower. Integrated LLM agents, speech technologies, predictive models, and deterministic logic automate document reading, dispute handling, and outreach actions while maintaining compliance guardrails and auditability. Human‑in‑the‑loop options allow agents to intervene when needed, and the platform continuously improves its decisioning through compounding intelligence from ongoing interactions. All data is isolated per tenant, encrypted in transit and at rest, and the service meets SOC 2 and bank‑grade encryption standards.
Target Audience
Primary customers are loan servicers, collection agencies, and financial institutions that manage large portfolios of borrower accounts and require secure, compliant automation of servicing and collections processes.
Features
- Natural‑language workflow definition eliminates the need for custom engineering or vendor tickets
- AI agents that read documents, research accounts, process disputes, and execute actions across multiple systems
- Unified context graph linking LMS, dialer, CRM, documents, call transcripts, and payment history for a holistic borrower view
- Real‑time, compliance‑aware automation with deterministic rules, audit logging, and explainable decision trails
- Predictive prioritization using machine‑learning models to assess repayment risk and operational criteria
- Human‑in‑the‑loop and fully autonomous execution modes for flexible oversight
- Multi‑tenant, cloud‑native architecture with SOC 2 compliance and bank‑grade encryption
- Dedicated white‑glove support for rapid deployment and ongoing operational assistance