Snapshot
Continue to About ↓- What it does
- Freya is an enterprise voice AI platform for building AI phone agents that handle inbound support and outbound calls such as sales, collections and reminders.
More detail
- It combines a visual call-flow builder, a simulation suite, its own text-to-speech and speech-to-text models, and per-engagement integration work, with deployment on cloud infrastructure in Türkiye or on-premise including air-gapped networks.
- Best for
- Compliance-heavy enterprises with high phone volumes, such as banks, fintechs, insurers and collections or support operations, especially those with data-residency or air-gap requirements.
- Pricing
- No public price list; pricing is bespoke and set per project.
More detail
- The quote is driven mainly by monthly call volume, plus the number of agents and flows, which speech and dialogue models are used, integration work, and the scope of forward-deployed engineering.
- Minimum commitment is set against project
- Main limitation
- Small teams or self-serve buyers who need published pricing, instant sign-up or a ready-made connector catalog, since every deployment is quoted through a sales call.
- Record
- Static profile
- Reviewed
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- Public web research
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- Structured profile ↗
About
- Freya is an enterprise voice AI platform for building AI phone agents that handle inbound support and outbound calls such as sales, collections and reminders.
- It combines a visual call-flow builder, a simulation suite, its own text-to-speech and speech-to-text models, and per-engagement integration work, with deployment on cloud infrastructure in Türkiye or on-premise including air-gapped networks.
What it helps with
- High-volume phone operations for support, collections, reminders and outbound campaigns are costly and hard to staff aro
- Agents need live answers from internal systems mid-call rather than scripted or invented responses
- Regulated companies need voice AI that can keep recordings, transcripts and models inside their own perimeter
- Call flows need to be changed and tested without engineering work on every iteration
Capabilities
A practical view of what is available and where limitations apply.
| Offering | Available | Detail |
|---|---|---|
| AI voice agents | Yes | Inbound and outbound agents, with transfer to a human when needed |
| Visual workflow builder | Yes | No-code multi-node call flows with conditional routing and function calls |
| Simulation suite | Yes | Test agents against synthetic scenarios before taking real calls |
| Mid-call system calls | Yes | Agent calls your systems over HTTP and speaks the result in the same conversation; post-call webhooks push results out |
| Proprietary speech models | Yes | Freya TTS Adam V1 for English; FreyaTTS-small Turkish model released under Apache 2.0 with open weights |
| On-premise and air-gapped deployment | Yes | Models and data can run on the customer's own infrastructure |
| Data residency selection | Yes | Customer picks the country and infrastructure where data sits |
| Role-based access and audit trail | Yes | Roles control visibility of agents, workflows and calls; agent actions are recorded |
| Ready-made integration catalog | No | Integrations are built per engagement over HTTP and webhooks; telephony providers such as Twilio are supported |
| Published SOC 2 certificate | No | Controls are mapped to SOC 2 headings, but no certificate number or audit date is published |
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Evidence
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- Verification
- Scribble researched these facts from the linked public sources.
- The owner has not manually confirmed every field.
- Last reviewed
- Primary source
- freyavoice.ai
Technical profile details
Record ID
f5c56cd2-676f-431c-9c73-c89ebd2df6beCanonical URLhttps://profiles.scribble.network/listing/freya-voice-ai-platform-f5c56cd2