Why choose LevelAI over Abstrakt?
Abstrakt AI helps agents in the moment with real-time call guidance, QA automation, and conversation summaries — but that’s where it stops. Modern enterprises need more than reactive call insights; they need an end-to-end CX intelligence layer that connects automation, quality, and customer understanding across every channel. That’s why they choose Level AI.
Why Levelai
Beyond traditional AI: how LevelAI outperforms Abstrakt
Unified CX intelligence platform vs point-solution call guidance tool
Explainable QA-GPT with reasoning and evidence vs basic QA scoring and scripted prompts
iCSAT and VoC insights across 100% of interactions vs limited sentiment analysis and post-call summaries
CX intelligence, not just call guidance
Level AI guides the entire CX — connecting Auto-QA, VoC, Coaching, Analytics, Agent Assist, and Virtual Agent into one smart system.
Broader insight. Smarter operations.
Explainable QA you can rely on
Every automated score from Level AI includes reasoning, timestamps, and evidence, removing ambiguity and helping teams act with confidence.
Transparent decisions. Trusted insights.
iCSAT across every interaction
Level AI infers satisfaction across 100% of conversations — giving you instant, survey-free feedback at scale, while Abstrakt only captures sentiment and summaries
Complete coverage. Instant feedback.
Continuous CX optimization, built in
Level AI connects QA, VoC, and Coaching in real time, creating a self-improving loop where every insight sharpens agent and AI performance.
Always learning. Always improving.
Comparison
LevelAI vs. Abstrakt: A closer look
Feature | LevelAI | Abstrakt |
|---|---|---|
Platform scope | ✓ - Unified CX stack covering QA, VoC, Coaching, Analytics, Agent Assist, Virtual Agent | X - Real-time agent assist, automated QA, voice analytics, post-call insights |
Quality / auto-QA | ✓ - Explainable QA-GPT: 100% automated scoring with reasoning, timestamps, evidence | X - Automated QA, real-time scoring, and post-call summary generation |
Voice of the Customer (VoC) | ✓ - Supervised + unsupervised models to surface themes, sentiment, trends | X - Call-level analytics: sentiment, summaries, voice analytics and summaries |
Analytics & insights | ✓ - Unified dashboards combining QA, VoC trends, coaching insights | X - Voice analytics dashboards, sentiment & summary reporting |
Inferred CSAT (iCSAT) | ✓ - iCSAT across every interaction; no survey dependency | X - Abstrakt does sentiment & summaries but no inferred CSAT across interactions |
AI virtual agent / automation | ✓ - Native Voice + Chat Virtual Agents integrated with QA & VoC | X - Focused on agent guidance and in-call assist — not full autonomous agents |
Screen recording | ✓ - Synced audio + agent desktop recording for quick context and QA validation | X - No comparable feature available |
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