Sayna is live · custom pricing · last verified 22 Oct 2026 · viability monitor
Sayna
A voice layer for AI agents you've already built: TTS, STT, streaming, VAD and SIP behind one API
Sayna is the right call if you already run an agent in PydanticAI, LangChain or LlamaIndex and need phone calls and live speech without managing three vendors yourself. The pairing of a built-in SIP server with TTS/STT provider abstraction is what separates it from stitching Twilio, Deepgram and a TTS vendor together by hand. The catch: the homepage never names the speech providers behind the abstraction, so you cannot benchmark voice quality from the site. Prove it on one agent before rolling across your fleet.
Verdict generatedVerified 8d ago · liveness 64/100 · cite: rightaichoice.com/tools/sayna
- AI engineers building voice-enabled agents on PydanticAI, LangChain or LlamaIndex
- Developers adding phone calling and SIP integration to AI applications
- Teams that want to avoid TTS/STT vendor lock-in through provider switching
- Startups shipping production voice AI on a single unified API
- Non-developers looking for a no-code voice builder
- Projects that only need text-based chat and no speech
- Teams that want a fully managed turnkey voice agent with no engineering work
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Skip Sayna if you want a no-code builder or a turnkey voice agent with prompts, phone numbers and retries already configured — Sayna is a developer layer you integrate into an agent you already own.
Sayna does not publish a tier list on the pages we could reach, so we cannot tell you what a seat or a minute costs, or where it lands against Twilio plus Deepgram plus a TTS vendor. What we can say: the cost model you should compare is the three-vendor stitch it replaces — telephony minutes, STT per-minute rates and TTS per-character rates, each billed separately. Ask Sayna for per-minute and per-request rates before you assume the unified API is cheaper.
In short
Sayna — A voice layer for AI agents you've already built: TTS, STT, streaming, VAD and SIP behind one API. Best for AI engineers building voice-enabled agents on PydanticAI, LangChain or LlamaIndex, Developers adding phone calling and SIP integration to AI applications, Teams that want to avoid TTS/STT vendor lock-in through provider switching. Pricing is on request (custom quotes).
What is Sayna?
Sayna — A voice layer for AI agents you've already built: TTS, STT, streaming, VAD and SIP behind one API. Best for AI engineers building voice-enabled agents on PydanticAI, LangChain or LlamaIndex, Developers adding phone calling and SIP integration to AI applications, Teams that want to avoid TTS/STT vendor lock-in through provider switching. Pricing is on request (custom quotes).
Sayna is a voice layer you put under an AI agent you have already built, rather than a place to build the agent itself. Instead of stitching together separate text-to-speech, speech-to-text, streaming and telephony vendors, you call one API that covers all of them. The homepage documents text-to-speech with provider abstraction and switching between TTS services, a unified speech-to-text interface with real-time transcription and language detection, voice streaming with low-latency handling and audio buffer management, voice activity detection with noise filtering, a built-in SIP server for phone calls, and automatic voice analytics including call recording and searchable transcriptions. Integration is documented for PydanticAI, LangChain and LlamaIndex, with a stated path for custom agents in any language, and SDKs listed for Python, JavaScript, TypeScript, Go and Rust. Sayna's pitch is that you keep your existing agent logic, business rules and architecture untouched and add voice with a few lines of code. It is aimed squarely at AI engineers, not at no-code builders. One thing to know before you start: Sayna does not name the TTS or STT providers behind its abstraction on the homepage, so voice quality, accent handling and latency depend on what you route to.
Key features
- Text-to-speech with provider abstraction and switching between TTS services
- Unified speech-to-text interface with real-time transcription
- Language detection in speech-to-text
- Voice streaming with low-latency optimisation
- Audio buffer management for streaming
- Voice activity detection with smart detection and noise filtering
- Built-in SIP server for phone system integration
- Multi-tenant SIP routing from a single server
- Automatic voice analytics with call recording and searchable transcriptions
- Works with PydanticAI, LangChain and LlamaIndex
- Zero framework changes — existing agent logic and business rules stay intact
- SDKs for Python, JavaScript, TypeScript, Go and Rust
- Plugin architecture for custom integrations
- WebSocket patterns for voice AI including reconnection and backpressure
- Single unified API for the voice and messaging layer
Behind the verdict
Sayna sells a layer, not a product, and that framing is the most useful thing about it. You have an agent. It reasons, calls tools, follows business rules. What it cannot do is hear or speak. Sayna's answer is one integration point for text-to-speech, speech-to-text, streaming transport, voice activity detection and SIP telephony, with your framework code left alone. The strongest piece is provider abstraction on both TTS and STT. TTS supports switching between providers behind a unified API, and STT is one interface over different speech recognition providers with real-time transcription and language detection. If a vendor raises prices or degrades on your accents, you change a route instead of rewriting the speech layer. That is a real engineering decision, not a marketing bullet. The second differentiator is the built-in SIP server. Most voice-AI stacks bolt telephony on last, which means a second vendor, a second set of credentials and a second failure mode. Sayna puts SIP inside the same layer as streaming and VAD, and pairs it with multi-tenant routing and call recording with searchable transcriptions. Where we get cautious: the homepage never names the TTS or STT providers behind the abstraction. Voice quality, accent handling, barge-in timing and latency all depend on what you point it at, and you cannot judge that from the site. The site also describes low-latency streaming as an optimisation goal rather than publishing benchmark numbers on its own audio path. Measure it on your own call recordings before you commit. Framework support is documented for PydanticAI, LangChain and LlamaIndex, with SDKs listed for Python, JavaScript, TypeScript, Go and Rust and a stated path for custom agents in any language. The docs pages were not reachable in this pass, so treat "any framework" as vendor claim rather than verified fact. Where it fits: teams with an agent already in production that need a phone number attached to it, or need live speech in a web app, and do not want to own the speech plumbing. Where it does not: anyone without an engineering team, anyone who only needs text chat, and anyone who wants a turnkey voice agent with prompts and phone numbers already configured. Those buyers should look at managed voice-agent platforms instead.
Limitations
- Sayna abstracts TTS and STT providers rather than publishing its own speech models, and the homepage does not name which providers or models sit behind the abstraction, so voice quality, accent handling and latency depend entirely on what you route to and you cannot benchmark that from the site.
- The docs pages were not reachable in this pass, so documented framework integration is limited to what the homepage states: PydanticAI, LangChain, LlamaIndex and custom agents in any language.
- Low-latency streaming is described as an optimisation goal rather than a published benchmark.
- Call recording and searchable transcriptions are the feature most likely to trigger a compliance review before production use.
as of 2026-10-17
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Is Sayna still active?
Sayna is live · custom pricing · last verified 22 Oct 2026 · viability monitor.
Viability score
How well maintained and how widely used is Sayna? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →What do users say about Sayna?
What people actually say about Sayna — is it worth it?
Our community sentiment research written Jul 3, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
How we verified this
Every listed fact about Sayna— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 22 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified Sayna 10 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed hidden costs, pricing fit, limitations, our verdict, switching out, switching in, description, summary, features, use cases, who should skip it, setup time
- — changed SSL certificate
- — changed who it suits, description, our verdict, features, hidden costs, limitations, switching in, switching out, who should skip it, pricing fit, setup time, summary, use cases
- — changed limitations
- — changed domain expiry
- — changed features, description, our verdict, summary
Showing the 6 most recent of 10 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Sayna cost in 2026?
Sayna: Pricing is on request (custom quotes). Pricing last verified 22 Oct 2026.
Where the pricing makes sense
The company stage and team size where Sayna's pricing actually pencils out — and where peers do it cheaper.
Sayna does not publish a tier list on the pages we could reach, so we cannot tell you what a seat or a minute costs, or where it lands against Twilio plus Deepgram plus a TTS vendor. What we can say: the cost model you should compare is the three-vendor stitch it replaces — telephony minutes, STT per-minute rates and TTS per-character rates, each billed separately. Ask Sayna for per-minute and per-request rates before you assume the unified API is cheaper.
Has Sayna's pricing changed?
No plan price for Sayna has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Sayna?
Pick Sayna if you are AI engineers building voice-enabled agents on PydanticAI, LangChain or LlamaIndex, Developers adding phone calling and SIP integration to AI applications, Teams that want to avoid TTS/STT vendor lock-in through provider switching, Startups shipping production voice AI on a single unified API.
Look elsewhere if you are Non-developers looking for a no-code voice builder, Projects that only need text-based chat and no speech, Teams that want a fully managed turnkey voice agent with no engineering work.
Skip it if Skip Sayna if you want a no-code builder or a turnkey voice agent with prompts, phone numbers and retries already configured — Sayna is a developer layer you integrate into an agent you already own.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Sayna actually fits — and what changes day-one when you adopt it.
You have a working PydanticAI agent answering text tickets. You add Sayna's speech-to-text and text-to-speech calls in front of your existing entry point and leave the agent logic and business rules alone.
Outcome: The same agent now handles spoken customer questions, with the transcript logged and searchable alongside your text tickets.
You point a support phone number at Sayna's built-in SIP server and route inbound calls into your LangChain agent, letting voice activity detection handle turn-taking and barge-in during the call.
Outcome: Calls land on the agent without a separate telephony vendor, and call recordings plus transcriptions are captured automatically for review.
You build against Sayna's TTS and STT abstraction, then swap the underlying speech provider when latency, accent accuracy or cost changes on one route.
Outcome: A provider change becomes a routing change rather than a rewrite of the speech layer inside your agent code.
Use cases
- Add real-time voice conversations to a PydanticAI customer support agent with minimal code changes.
- Build a phone-based appointment scheduler that handles barge-in and sends confirmation texts.
- Deploy a multi-tenant SIP routing system serving different customers from a single server.
- Implement call recording with storage, retrieval and search for compliance workflows.
- Swap TTS or STT providers behind one API when quality, latency or cost changes.
- Add voice to an existing agent in Go, Rust or TypeScript without rewriting the agent framework.
- Put a phone number behind a LangChain or LlamaIndex app without adding a separate telephony vendor.
- Run live speech-to-text with language detection on inbound calls for multilingual support desks.
Setup time & first value
How long it actually takes to get something useful out of Sayna — broken out by persona, not the marketing-page minute.
If you already have a working PydanticAI, LangChain or LlamaIndex agent, expect an afternoon to wire speech-to-text and text-to-speech in front of it and hear it talk back. Adding the SIP server and a real phone number is a second session, because telephony credentials and call routing take longer than the API call itself. Budget extra time to benchmark latency and accent handling on your own
Switching to or from Sayna
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From a hand-stitched Twilio + Deepgram + TTS stack: point your existing audio transport at Sayna's unified streaming and speech interfaces and drop the per-vendor glue code.
- →From a single TTS vendor called directly in your agent: move the call behind Sayna's TTS provider abstraction so you can switch speech providers later without touching agent logic.
- →From a custom WebSocket voice pipeline: replace your own buffer management and voice activity detection with Sayna's streaming and VAD layer, keeping the agent entry point unchanged.
- ↗To a managed voice-agent platform: expect to rebuild prompt, routing and telephony configuration inside the new platform, since Sayna is a layer under your code rather than a hosted agent.
- ↗To direct provider SDKs: because Sayna abstracts TTS and STT rather than owning the models, you can call the underlying speech providers directly — but you take back streaming, VAD and SIP plumbing yourself.
Integrations
Resources & guides
Tutorials & Learning
YouTube returned 6 videos for “Sayna”, and we withheld 6: 6 could not be judged, because “Sayna” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Sayna.
Official links
What are the best Sayna alternatives?
The closest alternatives to Sayna we list are Callab AI, LiveKit and Rounded. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Callab AI | Contact Sales | Custom pricing | — |
| LiveKit | Freemium | Pricing not published | — |
| Rounded | Freemium | Pricing not published | — |
Alternatives to Sayna
View all
Tools that pair well with Sayna
Common stack mates teams adopt alongside Sayna, with the specific reason each pairing earns its keep.
Callab AI
Callab AI deploys AI voice and text agents on your existing telephony, with live human supervision built in.
LiveKit
Open-source framework plus developer cloud for building, testing, deploying and scaling real-time voice, video, and physical AI agents.
Rounded
No-code AI voice agents for French healthcare and SMB phone lines, handling inbound and outbound calls in 30+ languages.
Sayna vs its closest rival
Sayna's closest head-to-head is with Locus Robotics — If you run a warehouse, Locus Robotics is the clear choice. If you build voice AI, Sayna is essential. These tools serve entirely different domains, so pick based on your need: physical automation or voice integration. Verdict generated
Head-to-head comparisons
Sayna vs Locus Robotics
If you run a warehouse, Locus Robotics is the clear choice. If you build voice AI, Sayna is essential. These tools serve entirely different domains, so pick based on your need: physical automation or voice integration.
GeneratedSayna vs Presto Voice
Choose Presto Voice if you run a QSR chain and need a turnkey drive-thru solution with proven upselling ROI. Choose Sayna if you're a developer building custom voice agents and want a flexible, API-first abstraction layer to avoid vendor lock-in. They serve different markets—one is a finished product for restaurants, the other is infrastructure for AI engineers.
GeneratedSayna vs Truleo
Truleo is purpose-built for law enforcement agencies needing to unify siloed data and automate lead generation, while Sayna serves developers building voice-enabled AI agents. If you run a police department, choose Truleo. If you're an engineer adding voice to agents, Sayna is the flexible layer you need. They serve completely different domains.
GeneratedFrequently asked questions
Best-of guides
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