Where Tadeus sits
Voice AI is having its moment. Almost none of it is pointed at your workforce.
Billions of dollars are flowing into voice AI. Customer service agents that deflect calls. Revenue agents that qualify leads. Speech models that talk like people. The technology has crossed the threshold: machines can now hold a real conversation.
But look at where every one of those conversations is pointed. Customers. Prospects. Debtors. Candidates. The one group nobody built conversation infrastructure for is the workforce itself: the people inside the systems that run working life.
That is the seat Tadeus occupies.
Four clusters. One empty seat.
Every serious voice AI company today sits in one of four clusters. Each is well funded, well run, and pointed somewhere else.
Customer-facing voice agents
PolyAI · Parloa · Familiar
PolyAI, Parloa, and Familiar build voice agents for contact centres and revenue calls. PolyAI raised at a $750M valuation; Parloa at $3B. Impressive companies solving a different problem: conversations with customers, prospects, and debtors, not with employees, and not embedded in the system of record.
Horizontal voice infrastructure
Vapi · Retell · ElevenLabs
Vapi, Retell, ElevenLabs and others provide the building blocks: speech models, agent frameworks, telephony. Powerful raw material, but raw material has to be assembled and then maintained. Build on it and your team owns the prompts, the integrations, and the quality bar as the models change underneath you. And a conversation is still not a comprehension record, a quality score, or a behavioural signal returned to your HCM.
Recruiting conversational AI
Paradox · HireVue · Grayscale
Paradox was acquired by Workday at a $1.1B fair value, and Grayscale by Paylocity. Candidate conversation has already become a commodity, bought and shipped as a platform feature. The conversation ends when the employee starts.
AI-moderated research
Listen Labs · Conveo · Outset · Strella · Metaview
Listen Labs, Conveo, Outset, Strella, and Metaview are excellent tools for research studies, and most run their interviews on video. Tadeus runs structured research studies too, in voice only, because people speak more freely without a camera. These tools produce transcripts for researchers. They do not produce structured behavioural intelligence inside a workforce system of record, and they are not built as embeddable infrastructure.
Why voice, not videoThe empty seat
TadeusEmbedded, API-delivered, real-time two-way voice for the employee lifecycle. Every employee heard in a real conversation, from onboarding to exit, inside the systems that already run their working life.
The market is telling you voice matters. Loudly.
Conversation is table stakes now.
Workday paid roughly $1.1 billion each for Sana and Paradox. Paylocity bought Grayscale. Every major HCM vendor shipped conversational AI in 2025 and 2026. Whatever platform you run or buy, conversation capability is now part of the expected surface.
The method is already proven.
The AI voice agent market is growing at 39% annually. Parloa, PolyAI, and Familiar have proven that enterprises will deploy AI voice at scale when the conversation quality clears the bar. You are not being asked to bet on an unproven interface.
Your workforce is still waiting.
Gallup puts the cost of low engagement at roughly 9% of global GDP, and 2.7 billion deskless workers remain effectively unreachable by portal and email. All of that voice investment, and almost none of it reaches the people on your payroll.
The infrastructure exists. The buyers are proven. The pain is measured in trillions. What is missing is real conversation pointed at your workforce, inside the systems that already run it.
The line Tadeus draws
A conversation is not the product. The data it produces is.
Every company on this map can hold a conversation. That is the price of entry now, and it will commoditise.
What does not commoditise is what a conversation becomes afterwards. A single Tadeus session produces a transcript, a comprehension record, a 0 to 100 quality score, and behavioural signals, delivered as structured data into the system of record. Across a campaign, those sessions roll up into insight summaries aligned with the research goals you set. That output class does not exist anywhere else on this map: not from a voice agent, not from an infrastructure API, not from a research tool.
And it compounds. Every conversation sharpens the benchmark. The picture of your workforce gets clearer with use, which is a moat that widens with time rather than eroding with it.
"Stop running surveys. Start building a picture that gets clearer every day."
The wrong question is "which voice agent". The right question is "do you have a voice layer".
Survey platforms collect opinion. IVR reads scripts. Chatbots handle queries. Voice agents talk to customers. None of them can tell you what your workforce actually understood, felt, and needs, with proof, inside the system you already run. The method-by-method comparison shows where each one stops.
If the answer to "do you have a voice layer" is no, that is the conversation to have.
Do you have a voice layer?
If the answer is no, that is the conversation to have. We will show you what one looks like inside your platform.
Or start free and run one conversationLast reviewed 23 August 2026. Market figures on this page are checked quarterly.