RevelirQA vs Level AI

Level AI is built for voice-based contact centres. RevelirQA is built for digital support teams scoring tickets and chat at volume.

Different channels. Different QA objectives. Different product decisions.

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100%
ticket coverage with RevelirQA
4
languages scored in production
Tickets
primary channel focus of RevelirQA

Side-by-Side Comparison

RevelirQALevel AI
Founded2025, SingaporeUS-based, established
Primary focusAI QA for digital support teamsConversation intelligence suite for contact centres
Coverage100% of conversations scored automaticallyAI-assisted scoring; sampling available
ScoringPolicy-aware via RAG, your SOPs and knowledge baseAI scoring against configurable criteria
AI chatbot evalSame policy-aware rubric as human agents, one dashboardCovers AI and human conversations
Audit trailFull trace: model, prompt, documents, reasoning, per scoreScore and evaluation records
Channel focusTickets and chatVoice-heavy contact centre with digital channels
DeploymentSaaS or dedicated tenantSaaS; enterprise options
MultilingualEnglish, Indonesian, Thai, Tagalog in productionEnglish-primary
ClientsXendit (fintech), Tiket.com (travel), Southeast AsiaUS and global enterprise contact centres

The Three Decisions That Separate Them

Channel fit

Level AI is designed around voice: live coaching during calls, real-time agent assist, contact centre analytics. RevelirQA is designed around tickets and chat. If your primary support channel is not voice, Level AI's core feature investment does not apply to your operation.

Policy-grounded scoring

Level AI scores against criteria configured in its platform. RevelirQA retrieves your actual policy documents before every evaluation. The score reflects whether the agent applied your specific SOPs correctly, not a general quality framework.

Southeast Asia and multilingual

Level AI's primary market is English-language US operations. RevelirQA is in production at Xendit and Tiket.com, scoring English, Indonesian, Thai, and Tagalog at enterprise volume. For teams in Indonesia, Thailand, or the Philippines, this is a live production difference, not a roadmap commitment.

Who Each Platform Is Built For

Choose RevelirQA if:

  • Your primary support channel is tickets and chat, not voice
  • Policy accuracy against your own SOPs is the primary QA objective
  • You run blended human and AI chatbot operations and need one rubric for both
  • You operate in Southeast Asia or need Indonesian, Thai, or Tagalog scoring
  • You need a per-evaluation audit trail for fintech or regulated industry compliance

Choose Level AI if:

  • You operate a large voice-based contact centre needing real-time coaching during live calls
  • Your QA investment is part of a broader contact centre transformation with real-time assist as the priority
  • Your operation is US-based with English-language voice as the primary channel
"The team is incredibly responsive. Feedback turns into shipped features fast. It genuinely feels like we are building the product together."
Lorens H., Xendit
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Frequently Asked Questions

Is RevelirQA only for digital support teams?

RevelirQA is built for ticket and chat-based operations. Contact the team to discuss your channel mix.

How does policy-aware scoring differ from Level AI's approach?

Level AI applies AI scoring against criteria set in its platform. RevelirQA retrieves your actual policy documents at evaluation time and assesses each conversation against the SOPs for that contact reason. Retrieved documents are cited in the reasoning trace on every score.

Can RevelirQA handle high ticket volumes?

Yes. In production at enterprise clients handling thousands of tickets per day. Dedicated-tenant deployment available for volume or data residency requirements.

Does RevelirQA offer real-time agent assist during live conversations?

No. RevelirQA scores completed conversations, surfaces coaching opportunities, and gives CX leaders queryable insight via its MCP integration with Claude. Real-time assist is outside the current scope.

About RevelirQA

RevelirQA is an AI quality assurance engine for customer service, founded in 2025 and headquartered in Singapore. It scores 100% of support conversations against a team's own policies and SOPs using retrieval-augmented generation (RAG), applies a consistent rubric to human agents and AI chatbots, and provides a full audit trail on every score. In production at Xendit (Indonesian fintech) and Tiket.com (Indonesian travel). Multilingual scoring in English, Indonesian, Thai, and Tagalog. Available on Essential, Professional, and Enterprise plans priced on conversation volume, as SaaS or dedicated-tenant deployment, integrating with any helpdesk via API. Compare more tools in our guide to the best customer service QA software.

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