Both analyze conversations, but for different audiences. Tethr is research-grade CX analytics: effort scores and predictive insights for strategy teams. Voxjar is operational QA: every call scored against your criteria, with coaching and compliance built into the loop.
This page walks through pricing, ownership, and fit so you can tell which layer your team actually needs.
A useful gut check: who reads the output? If it's an analyst building a quarterly CX deck, Tethr's research orientation earns its keep. If it's a supervisor coaching an agent tomorrow morning, you want a QA platform that closes the loop, not a listening platform that surfaces themes.
Tethr's pedigree is unusually strong. Its methodology traces to the CEB (now Gartner) research behind The Effortless Experience, and its signature Tethr Effort Index is a validated, machine-learning measure of customer effort built on hundreds of conversation variables. Add category discovery that surfaces themes you didn't know to look for, predictive analytics for churn and customer behavior, and glass-box transparency into why a conversation scored the way it did. It's designed as a data platform, feeding insight into Tableau, Power BI, Qualtrics, and Medallia. For CX and voice-of-customer leaders who want statistically grounded insight, it's credible and genuinely differentiated.
But two things complicate the picture for QA buyers. First, orientation: Tethr is a research and listening tool, not an operational QA system. It lacks dedicated coaching workflows (assignment, sign-off, agent-level development tracking), has no real-time capability, runs analysis in batch, and requires a consultative 6-10 week managed implementation on a custom enterprise contract. Second, continuity: in 2024 Tethr merged with Awaken Intelligence to form Creovai, and in October 2025 Capacity acquired Creovai, folding Tethr's analytics into a broader contact-center platform. That's two ownership changes in two years. None of it means the technology got worse, but buyers should confirm current packaging, pricing, and roadmap before anchoring a program to it.
Voxjar is the operator's version of this idea. It evaluates 100% of your voice and text conversations against scorecards you define, shows the reasoning behind every score, and turns results into action automatically through universal webhooks: a Slack alert, a CRM update, a coaching task routed to the right supervisor. It's model-agnostic (GPT, Claude, or Gemini), self-serve from the first minute, and independently owned and built around this single QA workflow.
Tethr does not publish list pricing; every deal is a custom enterprise contract built from a platform license, per-agent seats, and conversation-volume tiers. Third-party estimates put annual contracts roughly in the $30,000-$80,000+ range depending on features, agent count, and processing volume, with implementation commonly cited around $15,000-$40,000. Contracts are annual, there's no free trial or self-serve tier, and because pricing combines seats and volume, costs scale on two axes at once, which makes budgeting unpredictable for high-volume operations. With Tethr now inside Capacity, request current pricing and confirm how the offering is packaged post-acquisition.
Voxjar keeps the bill on a single, published axis: how many calls you analyze. Plans start at $99/month and scale with that usage alone, and every plan carries unlimited users; there's no platform fee, no setup fee, and month-to-month billing when annual terms don't make sense yet. A free tier is included, and you can score one of your own calls free before creating a paid account.
Seats-plus-volume pricing quietly penalizes the thing QA is supposed to encourage: getting everyone looking at the data. Every analyst, supervisor, and agent you add to a per-seat platform costs money, so access gets rationed. On Voxjar, adding your whole team costs nothing; the only number that moves your bill is how many calls you evaluate.
| Voxjar | Tethr | |
|---|---|---|
| What it's built for | ||
| Primary job | QA every customer call | CX research & effort analytics |
| Primary buyer | QA & ops leaders | CX / voice-of-customer leaders |
| Current ownership | Independent, focused on QA | Capacity (via Creovai, Oct 2025) |
| Auto QA scorecards (your criteria) | ||
| Compliance screening | ||
| Agent coaching workflows | ||
| Automated workflow triggers | Via webhooks & alerts | |
| Real-time analysis | Batch or real-time | |
| Validated customer-effort index (TEI) | ||
| Native VoC integrations (Qualtrics, Medallia) | ||
| Pricing | ||
| Published pricing | ||
| Starting price | $99/mo, free tier | Custom enterprise quote |
| Typical annual contract | Scales with call volume | ~$30k-$80k+ (estimates) |
| Implementation fee | None | ~$15k-$40k |
| Seat cost | Unlimited users, $0 | Per-agent seats plus volume tiers |
| Contract | Month-to-month or annual | Annual |
| Getting started | ||
| Self-serve signup | ||
| Time to first scored call | Minutes | 6-10 week implementation |
| Free trial or free tier | ||
| Choose your AI model (GPT, Claude, Gemini) | ||
| See the AI's reasoning on every score | ||
Tethr pricing figures are third-party estimates; Tethr (Capacity) does not publish pricing.
For operational QA, yes. Tethr is oriented toward CX research: customer-effort measurement, theme discovery, and predictive analytics feeding BI and voice-of-customer tools. It lacks dedicated agent coaching workflows, which its own positioning acknowledges. If your goal is scoring every interaction against your own criteria and coaching agents from the results, Voxjar is built for exactly that job. If your goal is strategic CX research, Tethr's methodology is the differentiator and Voxjar isn't trying to replicate it.
Tethr does not publish list pricing; deals are custom enterprise contracts. Third-party estimates put annual contracts roughly in the $30,000-$80,000+ range depending on features, agent count, and conversation volume, plus implementation commonly cited around $15,000-$40,000. Voxjar publishes its pricing: plans start at $99/month with unlimited users, no platform fee, no setup fee, and a free tier.
In 2024, Tethr merged with Awaken Intelligence to form Creovai. In October 2025, Capacity acquired Creovai, folding Tethr's conversation-intelligence and effort analytics into Capacity's contact-center platform. Buying Tethr today means engaging Capacity, and it's reasonable to ask how the standalone offering is packaged and roadmapped post-acquisition.
The Tethr Effort Index (TEI) is a validated, machine-learning measure of customer effort built on hundreds of conversation variables. It traces to the founders' research at CEB (now Gartner) behind The Effortless Experience. It's a genuine differentiator for CX research teams, and it solves a different problem than agent-level QA scoring.
Not really. Tethr focuses on surfacing CX insights rather than direct coaching workflows: there's no assignment, sign-off, or agent-level development tracking, and no real-time capability. Organizations that want structured coaching typically need a complementary QA tool. Voxjar builds the whole loop: score the call, show the reasoning, and route the feedback to the agent or supervisor automatically.
Yes. Drop in a call recording of your own, or start from a provided sample, and Voxjar hands back a scored evaluation within minutes; there's no demo to schedule and no sales conversation required first. Tethr has no free trial or self-serve tier; engagement starts with sales, now through Capacity, followed by a managed 6-10 week rollout.
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