These two compete head-on for contact center QA, but from opposite starting points. EvaluAgent digitizes the traditional QA workflow: human evaluations, calibration, disputes, with AI as an add-on. Voxjar makes AI evaluation of every call the default, priced by usage instead of by seat.
The rest of this page lays the trade-offs out candidly so the decision comes down to fit, not marketing.
A useful test: picture your QA program in two years. If it still centers on human evaluators reviewing a structured sample, EvaluAgent's workflow depth serves that well. If the plan is AI covering every call while humans focus on coaching, buying a human-first platform and bolting AI onto it is the long way around.
EvaluAgent is a UK-based quality assurance and improvement platform, and its real strength is operationalizing a human QA program properly. Calibration features keep multiple evaluators scoring consistently. A dispute-management workflow gives agents a structured way to challenge a score. The agent workspace puts feedback, coaching, and improvement plans in one visible place. It integrates cleanly with Zendesk, Intercom, Freshdesk, Talkdesk, Genesys, and Five9, and its GDPR focus and ISO 27001 certification land especially well with UK and EU buyers. For a team graduating from spreadsheets to a real QA tool, it's an approachable, credible step up with a manageable learning curve.
The limits show up as the program scales. EvaluAgent's architecture is workflow-first with AI attached as add-on modules: AutoQA pre-scores interactions, but it's priced separately from the base seats, and human review remains the center of the process. Analytics are lighter than AI-native platforms, with limited root-cause and predictive depth and only modest real-time capability. Because licensing is per seat, every reviewer, supervisor, and team leader adds cost, and turning on AI across the whole team compounds the per-user math. Customers report outgrowing the platform's analytical depth as their programs mature; that's the honest ceiling of a human-first design.
Voxjar starts where EvaluAgent's add-on ends. AI evaluation of 100% of calls against scorecards you define is the core product, with the reasoning behind every score visible and failures triggering instant workflows through universal webhooks. It's model-agnostic (GPT, Claude, or Gemini, your choice), self-serve from the first minute, and includes root-cause analytics and real-time analysis. Humans still matter; they just spend their time coaching the exceptions the AI surfaces instead of grading a sample by hand.
EvaluAgent doesn't publish full pricing; quotes are tailored. Public benchmarks put core QA around $25-$30 per user per month, with seats running up to about $60/user/month and the AI AutoQA add-on approximately $20-40/user/month extra. Add a setup fee in the rough range of $2,000-$10,000 and an annual contract, with monthly available at a premium. Independent Vendr data suggests typical annual spend lands near $22,000, with larger deployments reaching roughly $74,000 a year. The headline seat price is approachable; the real bill depends on how many users need access and how much AI you switch on.
Voxjar leaves you exactly one variable to model: how many calls you analyze. Plans are public, begin at $99/month with AI credits built in, and come with unlimited users on every plan, so reviewers, team leaders, and agents all log in without touching the price. There is no platform fee, no setup fee, and no seat-plus-add-on math, and month-to-month billing is an option. Start on the free tier, or score one of your own calls free before committing to anything paid.
Notice what each model incentivizes. Per-seat-plus-AI-add-on pricing quietly discourages the two things a maturing QA program wants most: more people looking at quality data, and more AI coverage. Usage-based pricing with unlimited users makes both of those free to expand.
| Voxjar | EvaluAgent | |
|---|---|---|
| What it's built for | ||
| Primary job | AI evaluates 100% of calls by default | Structured human QA, AI-assisted |
| Primary buyer | Agile QA & ops leaders | QA managers & team leaders |
| Auto QA scorecards (your criteria) | ||
| Compliance screening | ||
| Evaluator calibration & dispute workflows | ||
| Root-cause analytics | ||
| Real-time analysis | Batch or real-time | |
| Pricing | ||
| Published pricing | ||
| Starting price | $99/mo, free tier | ~$30/user/mo, AI excluded |
| AI scoring | Included in every plan | Add-on, ~$20-40/user/mo extra |
| Seat cost | Unlimited users, $0 | ~$30-$60/user/mo |
| Setup fee | None | ~$2k-$10k |
| Contract | Month-to-month or annual | Annual (monthly at a premium) |
| Getting started | ||
| Self-serve signup | Guided self-serve (2-4 weeks) | |
| Time to first scored call | Minutes | 2-4 weeks guided setup |
| Free AI evaluation of your own call | ||
| Choose your AI model (GPT, Claude, Gemini) | ||
| See the AI's reasoning on every score | ||
EvaluAgent pricing figures are public benchmarks and independent buyer reports (Vendr); EvaluAgent does not publish full pricing.
Architecture and defaults. EvaluAgent is a QA workflow platform built around human evaluations, with an AI AutoQA module sold as an add-on. Voxjar is AI-native: automated evaluation of 100% of calls against your own criteria is the core product, with humans reviewing the exceptions. Calibration, dispute, and human review workflows are built into both; the difference is which engine does the first pass. Both do QA; they start from opposite ends.
EvaluAgent doesn't publish full pricing. Public benchmarks put core QA around $30/user/month, with the AI AutoQA add-on approximately $20-40/user/month extra, a setup fee in the rough range of $2,000-$10,000, and annual contracts. Independent Vendr data suggests typical annual spend near $22,000, with larger deployments around $74,000. Voxjar publishes its pricing: plans start at $99/month with unlimited users, AI included, and no setup fee.
Yes, but as an add-on. EvaluAgent's AutoQA module uses AI to pre-score interactions, and it's priced separately from the base per-seat license, roughly $20-40/user/month extra. In Voxjar, AI evaluation is the core platform, included in every plan with credits built in, and you can choose the underlying model (GPT, Claude, or Gemini).
EvaluAgent runs a guided setup of 2-4 weeks with a dedicated onboarding specialist. Voxjar is self-serve: create an account, connect an integration, and see scored calls in minutes, with rapid assisted deployment in 1-2 weeks for complex setups.
It has a real home-field advantage there. EvaluAgent is UK-based with a strong GDPR focus and ISO 27001 certification, which resonates with European buyers. Voxjar also supports GDPR compliance, alongside PCI-DSS, HIPAA, and SOC 2, and works with teams globally; being US-based doesn't limit where it can be deployed.
Yes. Score one of your own calls, or a sample if you prefer, and a full AI evaluation comes back in about five minutes without a demo, a sales call, or a credit card. There's also a permanent free tier. EvaluAgent offers a free trial and a guided self-serve onboarding, though setup still typically takes 2-4 weeks.
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