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Voice AI for Enterprises
Freya provides AI voice agents for enterprises, delivering human-like speech to handle inbound and outbound calls, with automation across high-volume customer interactions and seamless integration into existing systems.
Freya offers end-to-end control of call agent workflows, including training, fine-tuning, testing, and deployment. It handles outbound sales and inbound support, adheres to business rules and data, supports multilingual speech, integrates with CRM/telecom/IVR systems without migration, and scales automatically to demand while maintaining safety and regulatory compliance.
Who itβs for: Enterprises with high-volume customer contact, including brands needing outbound/inbound call automation, regulatory-compliant debt collection, scheduling/reminders, and integrated workflows.
Customer testimonials, enterprise-scale deployment mentions, cost-saving and 24/7 operation claims
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 Turkeyβs 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 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 worldβs second-largest insurance broker. Now on his second startup, Tomas is focused on transforming customer support by bringing it into the era of AI.
We Improve CX And Operations Through Human-like And Secure Voice Agents
Freya builds human-like Voice AI agents for banks, mortgage lenders, fintechs, and insurers that integrate with CRMs, knowledge bases, and policy docs to provide 24/7, compliant, data-driven customer support. It promises zero wait time, over 50% cost reduction vs traditional call centers, and secure transcripts and analytics.
Formerly βCourseSharkβ Β· why startups rename β

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