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Why choose Level AI 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.

  • 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
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Trusted by customer service leaders across the world

The results with Level AI

25%
increase
in CSAT
45%
increase
in ASAT (Agent Satisfaction)
90%
time
saved in QA monitoring
100%
better
insights into the business

Beyond Traditional AI: How Level AI Outperforms Abstrakt

CX Intelligence, Not Just Call Coaching

Balto guides calls. Level AI connects coaching, QA, VoC, and automation into a unified system that improves your entire CX engine.

One platform. Smarter decisions.

Explainable QA You Can Trust

With Level AI, every evaluation includes reasoning, timestamps, and supporting evidence — ensuring audits, coaching, and quality checks are seamless.

Clarity at every step.

iCSAT Across Every Interaction

Unlike tools that rely on feedback or trends, Level AI infers satisfaction for 100% of conversations, giving you real-time sentiment and performance insight.

Full coverage. No surveys needed.




Continuous Performance Loop, Built In

Agent Assist and Virtual Agents in Level AI share the same intelligence layer. Every interaction improves both AI and human performance in lockstep.

Evolving CX, for humans and machines alike.



Level AI vs. Balto: A closer look

Platform Scope
Unified CX stack covering QA, VoC, Coaching, Analytics, Agent Assist, Virtual Agent
Real-time guidance, QA, coaching, compliance — focused on call center interaction flow
Quality / Auto-QA
Explainable QA-GPT: automated scoring of every interaction with reasoning, timestamps, evidence
Automated QA, call scoring, compliance scanning, and trend surfacing
Voice of Customer (VoC)
Supervised + unsupervised models surface themes, trends, sentiment across all channels
Call-level sentiment and insights, aggregated trends from scored calls
Inferred CSAT (iCSAT)
iCSAT applied to 100% of conversations — no manual survey dependency
Balto includes scoring and trend analysis; not clear if full inferred CSAT across every call is provided
Inferred CSAT (iCSAT)
iCSAT across every interaction; no survey dependency
Abstrakt does sentiment & summaries but no inferred CSAT across interactions
AI Virtual Agent / Automation
Native Voice + Chat Virtual Agents integrated with QA & VoC
Focused on agent guidance and in-call assist — not full autonomous agents
AI Agents / Automation
Native Voice + Chat Virtual Agents integrated with QA & VoC
Focus on agent assist guidance during calls and post-call summaries; full autonomous virtual agents are not the main focus
Deployment & Maintenance
Lightweight setup, continuous learning, scalable rollout
Integrates with phone systems / CRMs; real-time guidance setup and QA flows designed for quick adoption

What people are saying about Level AI

One Stop Contact Center Solution
We want to be able to do analytics for product, ops, and contact center teams while supporting customer service. Level AI's intent-based system + omnichannel is unique.
David Demarco
VP Delivery and Business Systems
Source:
2x better than anything we've tested
Level AI's semantic-based system is unique. We are getting a minimum of 82% accuracy from Level AI semantic tags. Overall 2x better than anything we have tested.
Chris Lewis
Contact Center Product Manager
Source:
We cannot imagine business without Level AI
Level AI helps us solve quality assurance, product management, and customer service pain points. As we scale, cannot imagine the business without Level AI.
Yuliya Ordova
Senior Director, CS Strategy
Source:

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