Sherlock Calls vs Voxjar
Voxjar provides SMB-focused call QA and agent coaching. Sherlock Calls investigates AI voice agent failures across Twilio, ElevenLabs, and 13+ providers — in Slack, in under 5 seconds.
TL;DR — The short answer
- 1
Voxjar is an SMB-friendly call QA platform — auto-scoring human agent calls and surfacing coaching recommendations without the enterprise pricing of NICE or Verint.
- 2
Sherlock Calls investigates AI voice agent failures — cross-provider correlation across Twilio, ElevenLabs, and Vapi, delivered in Slack.
- 3
Voxjar is for SMB teams managing human agents. Sherlock is for AI-first teams running voice agents. Closest buyer persona overlap in Phase 2.
Understanding both tools
Sherlock Calls
AI-powered voice call investigation
Sherlock Calls is a Slack-native AI investigator for operations teams. Connect your existing providers — Twilio, ElevenLabs, Vapi, Genesys, and 20+ more — and ask questions in plain English. Sherlock autonomously gathers data across all connected services, correlates events, and delivers a sourced answer in under 5 seconds. No new dashboards. No SDK. No code changes.
- Works inside Slack — no new UI to learn
- Connects to 20+ providers in minutes
- Investigates calls autonomously with AI
- Free tier — 100 credits per workspace
Voxjar
SMB call QA and agent coaching
Voxjar is an SMB-focused call QA platform offering auto-scoring, agent coaching, and call recording integration for small and mid-market contact center teams.
- Auto-scoring of human agent calls for SMB contact center teams
- Agent coaching recommendations and performance tracking
- Call recording integration for quality review workflows
- Lighter-weight pricing vs enterprise QA platforms — accessible for smaller teams
Feature comparison — Contact Center
Sherlock Calls vs Voxjar & peers
All tools in the Contact Center category — so you can compare both head-to-head and within the landscape.
| Feature | SherlockCalls | Voxjarthis page | Balto | CallMiner | CloudTalk | Creovai | Cresta | Cyara | EvaluAgent | Freshdesk | Kaizo | Level AI | MaestroQA | NICE CXone | Playvox | Scorebuddy | Sprinklr | SquareTalk | SupportLogic | Uniphore | Verint | Zendesk QA |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AI call investigation | ||||||||||||||||||||||
| AI agent & LLM tracing | ||||||||||||||||||||||
| AI governance & compliance | ||||||||||||||||||||||
| Offline LLM evaluation | ||||||||||||||||||||||
| Provider integrations | 20+ | Call recording platforms | Human CCaaS platforms | Human call recording platforms | Own VoIP platform (CloudTalk-native) | Call recording and CCaaS | Human CCaaS platforms | IVR/contact center platforms | UK/EU contact center platforms | Helpdesk and support channels | Zendesk and Salesforce | CCaaS and call recording | CCaaS and helpdesk platforms | Enterprise telephony (own CCaaS) | CCaaS and helpdesk platforms | Call recording and CCaaS platforms | Enterprise social and service channels | Own CCaaS platform (SquareTalk-native) | Salesforce, Zendesk, support platforms | Enterprise CCaaS platforms | Enterprise telephony and CCaaS | Zendesk-native only |
| Cross-provider correlation | ||||||||||||||||||||||
| Natural language queries | ||||||||||||||||||||||
| Zero-code setup | ||||||||||||||||||||||
| Per-call cost tracking | ||||||||||||||||||||||
| Free tier available |
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Key differences
Why teams switch from Voxjar to Sherlock
AI Voice Agents vs Human Agent Calls
Sherlock Calls
Sherlock natively integrates with the AI voice agent stack — Twilio, ElevenLabs, Vapi, Retell — with no call recording infrastructure required.
Voxjar
Voxjar integrates with call recording platforms for human agent calls. It has no native connectors for AI voice agent platforms.
Failure Forensics vs QA Scoring
Sherlock Calls
Sherlock answers 'Why did this call fail?' with a cross-provider evidence trail. Failure investigation, not quality scoring.
Voxjar
Voxjar scores human agents against quality rubrics. It is not a forensics tool for AI-generated call failures.
Per-Workspace vs Per-Agent Seat
Sherlock Calls
Sherlock's per-workspace model means your entire team investigates for $50/month. No per-agent seat counting.
Voxjar
Voxjar's pricing, even at the SMB tier, is structured around agent headcount.
Which tool is right for you?
When to choose Sherlock vs Voxjar
Choose Sherlock Calls if…
- Your team runs AI voice agents and needs self-serve failure investigation
- You want per-workspace pricing with no agent-seat minimums
Consider Voxjar if…
- Your small contact center team has human agents needing affordable QA scoring
- You need coaching recommendations without enterprise pricing
Pricing
Cost comparison
Sherlock Calls
Free to start
100 credits per Slack workspace. Team plans from $50/month. No credit card required to start.
- Free tier — 100 credits/workspace
- Team: $50–$5,000/month (usage-based)
- Enterprise: custom pricing
- No sales call required to start
- Cancel anytime
Voxjar
SMB (per-agent seat, lower than enterprise)
Voxjar is the more affordable end of the call QA market — targeting SMB teams priced out of NICE or Verint.
* Pricing sourced from public information. Contact Voxjar for current rates.
FAQ
Frequently asked questions
What is the difference between Sherlock Calls and Voxjar?
Voxjar scores human agent calls for SMB contact centers. Sherlock Calls investigates AI voice agent failures across Twilio, ElevenLabs, and Vapi in Slack. Same spirit of accessibility, different use case.
Is Sherlock Calls a Voxjar alternative?
For AI voice agent teams, yes. For SMB human contact center QA, Voxjar is the purpose-built option.
How do I migrate from Voxjar to Sherlock Calls?
No migration needed. Sherlock and Voxjar serve different call types.
Does Sherlock Calls replace Voxjar?
Not for SMB human agent QA. ⚠️ Phase 2 note: SMB buyers running hybrid AI + human call operations are the highest-conversion Phase 2 persona. When Sherlock expands to human QA, Voxjar is the Phase 2 BOTF page with the best conversion likelihood.
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