Looking for a CallMiner alternative?
CallMiner Eureka is a serious enterprise speech analytics platform with two decades of pedigree. CallGuard AI is a modern LLM-native call QA product with no integration project to begin. This page is the honest comparison.
CallMiner is genuinely good at enterprise-scale deployments.
We are not going to pretend CallMiner is a bad product. It is not. If your contact centre runs thousands of seats, with an established analytics function, an enterprise analytics budget and a procurement department that wants a vendor with twenty years of references, CallMiner is a credible choice. Four things they do well:
Workflow depth at enterprise scale
CallMiner has been refined over many large deployments. Custom dashboards, role-specific views, deep integrations with workforce-management and BI tools. If your analytics team wants to slice large call volumes across many dimensions, that is what the platform is built for.
Established speech analytics
The category they helped invent. Acoustic analysis, talk-over detection, prosodic features, decade-old keyterm libraries. For traditional speech-analytics use cases (silence detection, agitation scoring, churn-risk acoustic markers), they have more shelf-tested machinery than newer entrants.
Enterprise sales experience
If your procurement, security, legal and architecture teams expect a vendor with formal enterprise sales motions, multi-stakeholder discovery, and reference customers in your sector, CallMiner has all of that. They will be on RFP shortlists for big-ticket purchases regardless of who else you evaluate.
Deep customisation
For teams with the analyst capacity and the runway to invest, CallMiner can be tuned to almost any scoring model. Categories, weighted indices, sentiment thresholds, agent benchmarking. The ceiling is high.
CallMiner is heavy in places a modern team wants light.
The same things that make CallMiner robust at enterprise scale make it services-led and procurement-heavy for teams who do not need that machinery. Four differences worth weighing:
Services-led implementations
Enterprise speech-analytics deployments like CallMiner's can involve solution architects, professional services, scorecard configuration and integration discovery. CallMiner does not publish an implementation timeline. For a smaller or mid-sized contact centre that wants to start without an integration project, that is a different shape of project.
Enterprise contract shape
CallMiner does not publish its pricing, so contract length and any minimum spend are for its sales team to set out. CallGuard AI's plans are quoted per seat for your team size, with no multi-year minimum, which matters for teams who have not yet decided whether AI call QA is the right answer for them.
No per-tenant calibration loop
Tuning CallMiner to your firm's interpretation of a scorecard item happens through analyst configuration, not through a feedback loop where your compliance officer's corrections become scoring examples for that criterion. CallGuard AI's approach is to show the AI your corrections directly, not to have an analyst configure rules.
UK Consumer Duty framing is not the headline
CallMiner's product positioning leads with US contact-centre analytics. The Consumer Duty outcomes a call can evidence, ICOBS 5 demands-and-needs checks (and suitability where advice is given) and FG21/1 vulnerability indicators are achievable but not the headline. UK-regulated firms tend to want a vendor who leads with their regulator's vocabulary.
CallMiner versus CallGuard AI
| Capability | CallMiner | CallGuard AI |
|---|---|---|
| Time to first scored call | Not published; services-led implementation | Demo, quote and DPA first; no integration project to begin |
| Scoring calibration from corrections | Analyst-driven configuration | Compliance corrections shown to the AI as scoring examples |
| FCA Consumer Duty framing | Generic compliance, configurable | Built for UK scorecards: ICOBS 5, FG21/1 and the Duty outcomes a call can evidence |
| Live mid-call breach detection | Available, varies by deployment | On streamed calls (Pro plan): checked every 30 seconds, sent at 0.75 model confidence or higher |
| API-first results fetch | Published APIs | REST: post a call, fetch its JSON result |
| Pricing | Not published | Starter, Growth and Pro, quoted per seat |
| Best fit | Large enterprises with speech-analytics teams | Smaller and mid-sized contact centres + UK regulated firms |
Pick the right tool for your actual situation.
Pick CallMiner if
You run a very large floor, you have a dedicated speech analytics analyst team, you have the budget for an enterprise analytics contract and the runway for a services-led implementation, and your procurement department needs a vendor with two decades of references in your sector.
Pick CallGuard AI if
You want to start without an integration project, you want each criterion on your scorecard judged by an LLM with the transcript evidence it was decided on, or a note that none was found, you want the AI shown your compliance officer's corrections as scoring examples, you want to embed results in your own CRM or agent desktop via REST, and you want a plan quoted per seat for your team size, with no multi-year minimum.
Common questions, answered.
Can CallGuard AI replace CallMiner for an existing CallMiner customer?
For many teams whose need is compliance scoring, yes. The capabilities that matter for compliance scoring (transcription, per-criterion judgement, transcript evidence, breach detection, coaching) are all in CallGuard AI. The capabilities that matter for traditional speech analytics (acoustic features, prosody, agitation scoring) are not our focus. If your team uses CallMiner for the analytics half and would still want compliance scoring done with modern LLMs, you can run CallGuard AI alongside CallMiner rather than instead of it.
What about data migration from CallMiner?
If your call recordings are in S3, SFTP or a Genesys / Avaya / Five9 archive, push them into CallGuard via our REST API and we re-score them. If they are inside CallMiner's storage, we work with you to export per-call audio plus your scorecard configuration; most QA scorecards are already a list of item-by-item checks, which is the shape CallGuard AI scores against, and we set it up with you.
How does pricing actually work?
Starter, Growth and Pro are quoted per seat for your team size, with volume discounts as your team grows and no multi-year minimum required; we do not publish a price. Scoring calibration from corrections, the exemplar library and coaching memory are included on Growth and Pro plans. What each plan includes is on the plans page.
Is CallGuard AI suitable for a very large contact centre?
Architecturally yes; calls are processed in parallel and the system scales with throughput. Practically, very large floors often prefer a vendor with 20-year references, dedicated technical account management and on-prem options. We do not sell on those terms today. If those are your hard requirements, CallMiner or NICE may fit better. If they are not, talk to us.
How do you handle FCA-regulated firms specifically?
That is a primary design point for CallGuard AI. Firms upload their own scorecards, and for UK advice firms they typically cover ICOBS 5 demands and needs (and suitability where advice is given), FG21/1 vulnerability, and the Consumer Duty outcomes a call can evidence. More on financial services scoring here.