Cresta puts generative AI inside the live conversation, suggesting responses to agents as they talk, on enterprise contracts to match. Voxjar evaluates 100% of conversations against your own criteria, self-serve from minute one.
One is an enterprise AI layer that writes agents' next lines; the other is a scoring, compliance, and coaching loop you can start today.
They can coexist: Cresta shaping live conversations while Voxjar serves as the QA-of-record that scores and documents every finished interaction. Usage-based pricing with unlimited users means that pairing doesn't double your per-agent spend.
Cresta was founded by former Stanford and Google AI researchers, and the ML pedigree shows. Its generative AI watches live voice and chat conversations and suggests responses and next-best actions in real time, grounded in the behaviors of your own top performers. Its behavior analytics identify the conversation patterns that separate the best agents from the rest and measure how widely those patterns get adopted, while the Director product extends the idea into an autonomous virtual manager. Post-call analytics are genuinely strong for a real-time platform, and compliance coverage (SOC 2, HIPAA, GDPR, PCI-DSS) is enterprise-grade.
The shape of the deal is enterprise-grade too, and that's the tradeoff. Cresta sells through enterprise sales with no published pricing, structured as a platform license plus per-agent seats, and needs a 6-10 week implementation that includes training its AI models on your conversations before it performs. Reviews also note that the value of live suggestions depends on agents actually using them, and that Cresta is less mature than established QA vendors for pure compliance-review use cases. If your central job is scoring every interaction against a detailed rubric, that's a lot of machinery around an adjacent problem.
Voxjar is built for exactly that job. It evaluates every voice and text conversation against scorecards you define, shows the reasoning behind each score, and pushes failures into instant workflow triggers through universal webhooks: a Slack alert, a CRM update, a coaching task. No model-training period; it's model-agnostic (GPT, Claude, or Gemini, your choice, with per-model cost control) and working on your calls the same day you sign up.
Cresta doesn't publish pricing; quotes are driven by agent count, volume, features, and implementation scope. Reported per-agent licensing runs $100-$175/agent/month, but total contract size is the more honest signal: third-party analyses and AWS Marketplace listings put deployments at roughly $60,000-$150,000+ per year, with a single product line (Agent Assist for voice or chat) listed near $150,000 annually before usage fees and professional services. Add a platform fee, setup costs of roughly $25,000-$75,000, and multi-year contract discussions. This is enterprise-budget software, priced like it.
Voxjar sits at the other end of the spectrum. Its plans are published for anyone to see, start at $99/month, and are metered by the calls you analyze: unlimited users come standard on every plan, with no platform fee, no setup fee, and the option of month-to-month billing. Your bill tracks the calls you evaluate, not your org chart. A free tier exists, and you can score one of your own calls free before creating a paid account.
The comparison isn't really cheap versus expensive; it's what you're paying for. A Cresta contract buys a live AI layer plus the services to install and train it. If the outcome you actually need is complete, explainable QA coverage, you can have that for a small fraction of the spend, starting today, and decide later whether a live layer earns its six figures.
| Voxjar | Cresta | |
|---|---|---|
| What it's built for | ||
| Primary job | QA every customer call | Coach agents live with generative AI |
| Primary buyer | QA & ops leaders | Enterprise CX / sales leaders |
| Live suggested responses during calls | ||
| Auto QA scorecards (your criteria) | ||
| Compliance screening | ||
| Target team size | Any size, SMB up | 200-5,000+ agents |
| Pricing | ||
| Published pricing | ||
| Starting price | $99/mo, free tier | Enterprise sales required |
| Platform fee | None | Yes, quote-based |
| Implementation fee | None | ~$25k-$75k |
| Seat cost | Unlimited users, $0 | ~$100-$175/agent/mo |
| Contract | Month-to-month or annual | Annual |
| Getting started | ||
| Self-serve signup | ||
| Time to first value | Minutes | 6-10 weeks + model training |
| Free AI evaluation of your own call | Trial via sales process | |
| Choose your AI model (GPT, Claude, Gemini) | ||
| See the AI's reasoning on every score | ||
Cresta pricing figures are estimates from public buyer reports and marketplace listings; Cresta does not publish pricing.
For QA, yes. Cresta's center of gravity is real-time coaching: generative AI suggesting responses to agents during live voice and chat conversations. Voxjar's is quality assurance: scoring 100% of conversations after they happen against criteria you define. If you were evaluating Cresta primarily for its QA and post-call analytics rather than the live layer, Voxjar covers that job with published pricing and no enterprise sales cycle.
Cresta uses custom enterprise pricing with no public plans. Reported per-agent licensing runs $100-$175/agent/month, with a platform fee, setup costs of roughly $25,000-$75,000, and third-party analyses putting deployments at roughly $60,000-$150,000+ per year; a single product line has been listed near $150,000 annually before usage fees. Voxjar publishes its pricing: plans start at $99/month with unlimited users, no platform fee, no setup fee, and month-to-month billing available.
Cresta implementations typically run 6-10 weeks, including AI model training on your conversations, integration setup, and workflow configuration, delivered by professional services. 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 more complex setups.
Yes, in the same way teams pair any live-coaching layer with a QA-of-record. Cresta shapes the conversation while it's happening; Voxjar then scores the finished interaction against your rubric and documents why, which is what compliance reviews and coaching programs need. Since Voxjar is usage-based with unlimited users, adding it doesn't duplicate your per-agent spend.
Live intervention. Cresta generates suggested responses and next-best actions on the agent's screen during voice and chat conversations, drawn from the patterns of your top performers, and its Director product extends that into autonomous virtual-manager coaching. Voxjar doesn't put suggested responses on the agent's screen; it scores calls as they finish, batch by default with real-time available when needed, powering compliance screening and instant workflow triggers, and closing the loop with coaching rather than in-call prompts.
Yes. Upload one of your own calls (or use a sample) and get a scored AI evaluation in about 5 minutes, with no demo, no sales call, and no credit card. Cresta offers a free trial, but the buying process is enterprise sales-led and the platform needs model training on your data before it performs.
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