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QEval vs Symbl.ai

QEval

qeval.ai

Symbl.ai

symbl.ai

Side by side

FigureQEvalSymbl.ai
Price from—Free
Free plan—Yes
Free trial——
Open source——
WebYesYes
iOS—Yes
Android—Yes
APIYesYes
Self-hosted—Yes
Plans published13
Spec score · Speech Analytics Software7.7 (#9)7.6 (#14)
DeploymentThe integrations page describes a 30-day deployment window and says custom connections are scoped during onboarding.The pricing page says Enterprise customers can deploy in a private environment.
IntegrationsThe platform lists more than 80 prebuilt connectors and says integrations are included without separate connector fees.The integrations page describes CRM, business intelligence, virtual meeting platform, and data store integrations, and names BigQuery, Google Cloud Storage, Snowflake, AWS S3, AWS Redshift, Databricks, and Microsoft SQL Server.
PurposeQEval is a contact center performance management platform that scores human agents, AI agents, and hybrid interactions across voice, chat, email, and SMS.Symbl.ai enables enterprises to build real-time AI agents, orchestrate multimodal experiences, and analyze voice, video, and chat conversations.
SecurityThe security page lists SOC 2 Type II, ISO 27001:2022, ISO 42001, PCI DSS Level 1 for the redaction pipeline, and HIPAA support with a BAA available.The security overview states that data at rest is encrypted with AES-256 and data in transit is protected with TLS encryption.
SupportThe contact page says customer support replies within four business hours and general or partnership inquiries within two business days.The pricing page includes enterprise support and SLAs with the Enterprise plan.

Plans

QEval

  • Quoted per deploymentPriced on request

QEval pricing →

Symbl.ai

  • FreeFree
  • PayGFree
  • EnterprisePriced on request

Symbl.ai pricing →

In their own words

QEval

QEval is a contact-center performance management platform for scoring conversations and supporting agent assistance, compliance, coaching, and analytics. It evaluates human agents, AI agents, voice bots, chat copilots, and IVR flows. Supported inputs include voice, chat, email, SMS, social, tickets, CRM records, surveys, agent notes, and AI-agent transcripts. During calls, real-time agent assist can surface compliance prompts, de-escalation scripts, next-best actions, and knowledge-base articles. Other capabilities include speech analytics, screen-capture review, CSAT intelligence, business intelligence, gamification, and case-note analysis. QEval says its proprietary Mixture-of-Experts scoring has a contractual classification-accuracy commitment of 94% or higher and makes no third-party foundation-model calls in the scoring path. It lists more than 80 pre-built connectors and exchange options including REST API, webhooks, SFTP, Amazon S3, and Azure Blob Storage, with no per-connector fees. Pricing is quoted per deployment. QEval states a deployment window within 30 days and a 60-day exit clause without penalty. The platform is built by ETS Labs, the applied AI division of Etech Global Services.

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Symbl.ai

Symbl.ai provides conversation intelligence APIs for enterprises building real-time AI agents and multimodal experiences. Its APIs analyze voice, video, and chat to extract transcripts, topics, action items, follow-ups, questions, trackers, summaries, sentiment, analytics, and entities. Nebula is Symbl.ai's conversation-focused language model for analyzing and generating conversation-centric text; its page states it can process up to 16,000 tokens and supports English, Spanish, French, German, Italian, and more. SDKs support adding conversation intelligence to web and mobile apps. Integrations span CRM, business intelligence, meeting platforms, and data stores including BigQuery, Google Cloud Storage, Snowflake, AWS S3, AWS Redshift, Databricks, and Microsoft SQL Server. A free plan includes up to 1,000 audio/video minutes and 10,000 text words per month, with other limits including five concurrent connections. Pay-as-you-go rates are also listed, while Enterprise pricing is custom and includes support, SLAs, and private-environment deployment. Data at rest is encrypted with AES-256 and data in transit with TLS. Conversations and processed intelligence are retained by default; audio recordings and voice streams are not stored.

Visit symbl.ai