Freya: Voice AI Agents For Financial Services

TL;DR:

At Freya, we’re building human-like Voice AI agents for banks, mortgage lenders, fintechs, and insurers. We integrate directly into existing workflows, handle dozens of languages and local dialects, and follow compliance policies by ingesting and reasoning over internal policy manuals, regulatory documents, and industry guidelines.

https://youtu.be/uO0D6RtJzoE

Result: 0 wait time that prevents revenue loss, more than 50% lower costs than traditional call centers, and Voice AI that customers actually want to talk to, all with secure data handling, transcripts, and analytics.

The Problem:

• Human customer service agents are expensive. BFSI (Banking, financial services, insurance) firms spend billions staffing live phone support; 60% of CX budgets are still spent hiring and training human agents..
• Churn & wait times. 40% of callers bail after 60 seconds on hold. Each extra minute in insurance claims or debt collection flows drives churn or lost recovery.
• One-size-fits-none bots frustrate users: Most generic AI tools can’t reason over policies or edge cases, and fall apart when users deviate from the script.

Our Solution:

1. Instant 24/7 support customized to workflows: Freya removes hold times by operating around the clock and tailoring responses to your processes so customer issues are resolved without delay.
2. Human-like Voice AI with seamless integration: Freya connects directly into CRMs, ticketing platforms, knowledge bases, policy databases, and other back-end support systems. This allows it to securely retrieve live data such as account status or policy details, update records in real time, trigger workflows, and send follow-up emails or documents automatically
3. Voice AI with built-in compliance: Freya ingests and understands firm-specific policy documents, regulatory guidelines and operational procedures to ensure every interaction meets required rules, with all calls logged and auditable.

Our Team

We were roommates at UPenn and started Freya as our second startup together. Before Freya, Tunga worked as an AI engineer while Tomas worked within financial services, including in the second biggest insurance broker in the world, and we both experienced how customer support teams struggle with large volumes of calls and with providing the outcomes customers really need. We’re building Freya to solve this.

Who Should Talk To Us:

Heads of CX, operations, collections or claims in financial services and retail that rely on traditional call centers.

You can reach us at founders@freyavoice.ai