HomeCompaniesFreya

Voice AI for Enterprises

Active Founders
Tunga Bayrak
Tunga Bayrak
Founder
CEO and Co-founder of Freya. Previously, he built VLMs for geometric reasoning and worked on Audio Transformers as an AI research engineer. As a Math Olympian, ranked 1st among 250,000 students at the Urfodu Math Olympiad and later 203rd Turkey’s national exams out of 3.5M+. At 16, he wrote his first paper on Quantum Machine Learning. Before dropping out of UPenn, he was a Teaching Assistant in the Engineering School and part of an AI Research team at Penn.
Tomas Nepala
Tomas Nepala
Founder
Tomas is the Co-Founder and COO of Freya, where he is building human-like Voice AI agents for the financial services industry. A former Wharton student, he gained experience across multiple financial services firms, including Gallagher, the world’s second-largest insurance broker. Now on his second startup, Tomas is focused on transforming customer support by bringing it into the era of AI.
Company Launches
Freya: Voice AI Agents For Financial Services
See original launch post

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

Freya
Founded:2025
Batch:Summer 2025
Team Size:5
Status:
Active
Location:San Francisco
Primary Partner:Jon Xu