Level AI
LLM-native customer experience intelligence platform for analyzing contact-center interactions, automating QA, coaching agents and improving service outcomes.
Level AI analyzes 100% of customer interactions to power contact-center insights, automated quality management, agent coaching and service automation. Its positioning focuses on LLM-native CX intelligence rather than general LLM infrastructure.
Positioning
LLM-native customer experience intelligence and service automation
Key facts
- HQ location
- San Francisco, CA, USA
- Founded
- 2019
- Employee range
- 201-500 (201-500)
- Funding stage
- Series C Plus
- Company type
- Private (Private)
- Pricing model
- Custom Quote Subscription (Quote-based enterprise SaaS)
- Last updated
- Jun 21, 2026
Revenue estimate
Unknown / not publicly disclosed
Valuation estimate
Unknown
Investments
$39.4M Series C announced Jul 2024; $73.1M total raised to date at that time
Target customers
CX leaders, contact center leaders, QA teams and support operations teams
Key competitors
Observe.AI, CallMiner, Cresta, MaestroQA, NICE, Talkdesk
Known customers
Affirm, Brex; broader customers not comprehensively disclosed
Classification (raw research text)
- Core focus
- Contact center intelligence and quality automation
- Core industry
- Contact Centers / CX
- Core category
- Conversation intelligence and QA platform
Shown verbatim from the research spreadsheet — deriving structured segment/industry tags from this text is a future phase.
Attribute breakdown
- AI Workflows Secondary feature
- AI Automation / Business Process Automation Secondary feature
- System / API Integration Secondary feature
- AI / LLM Data Pipeline Secondary feature
- Traditional Machine Learning Secondary feature
- AI Security / Guardrails Secondary feature
- Data Privacy / PII / Confidential AI Secondary feature
- AI Risk / Compliance Secondary feature
- Human-in-the-Loop Review / Feedback Primary focus
- Call Transcription / Speech-to-Text Data Capture Primary focus
- Conversation Intelligence / Speech Analytics Primary focus
- Text Chatbots / Conversational Assistants Secondary feature
- Voice AI Agents Secondary feature
- AI for Customer Experience / Support Automation Primary focus
- Analytics / BI / Decision Intelligence Primary focus
- Enterprise App / Internal Tool Builder Secondary feature
Show all 32 attributes
- AI Workflows Secondary feature
- AI Automation / Business Process Automation Secondary feature
- AI Fine-tuning / Custom Model Training Not emphasized
- Agent Builder / Agent Configuration Not emphasized
- Multi-agent Orchestration / Runtime Not emphasized
- System / API Integration Secondary feature
- Prompt Management / Prompt Engineering Not emphasized
- Retrieval-Augmented Generation Not emphasized
- Graph RAG / Knowledge Graph Retrieval Not emphasized
- Enterprise Search / Knowledge Management Not emphasized
- AI / LLM Data Pipeline Secondary feature
- Document AI / Document Processing Not emphasized
- Model Deployment / Inference Infrastructure Not emphasized
- Traditional Machine Learning Secondary feature
- AI Quality Assurance / LLM Evaluation Not emphasized
- AI Observability / Monitoring Not emphasized
- AI Security / Guardrails Secondary feature
- Data Privacy / PII / Confidential AI Secondary feature
- AI Governance / Policy Management Not emphasized
- AI Risk / Compliance Secondary feature
- AI Asset Inventory / Model Registry Not emphasized
- Human-in-the-Loop Review / Feedback Primary focus
- Call Transcription / Speech-to-Text Data Capture Primary focus
- Conversation Intelligence / Speech Analytics Primary focus
- Text Chatbots / Conversational Assistants Secondary feature
- Voice AI Agents Secondary feature
- Voice Infrastructure / STT / TTS Not emphasized
- AI for Customer Experience / Support Automation Primary focus
- Sales / Revenue Intelligence Not emphasized
- Analytics / BI / Decision Intelligence Primary focus
- Enterprise App / Internal Tool Builder Secondary feature
- Vertical-Specific AI Not emphasized