Level AI

Level AI (legally Ujwal Inc.) is a Mountain View, California contact center AI company founded in 2019 by Ashish Nagar, a former member of Amazon's Alexa conversational AI team. The company builds LLM-native customer experience intelligence and service automation for enterprise contact centers, with a platform spanning two product surfaces: a CX Delivery suite (AI Virtual Agent, Agent Assist, AgentGPT, Coaching, Manager Assist, Knowledge Bot, Auto Summary, Agent Screen Recording) and a CX Strategy suite (Auto-QA on 100% of interactions, Voice of the Customer theme detection, omnichannel Analytics, iCSAT, AI Workers). The proprietary full-stack AI platform includes Level AI's own ASR/Voice AI and semantic-intelligence layer trained on customer-service data, and is positioned for financial services, insurance, healthcare, retail, banking, and collections operations. Level AI exposes a public REST API for bidirectional data exchange with BI tools and existing contact center stacks, and ships native integrations across telephony, CRM, customer support, workforce management, CX management, communication, learning management, and SSO categories. The company has raised $73.1M to date (Series A 2021, Series B 2022 led by Battery Ventures, Series C $39.4M 2024 led by Adams Street Partners with Cross Creek, Brightloop, Battery Ventures and Eniac Ventures), holds a 4.7/5 rating on G2, and reports customer outcomes including 25% CSAT lift, 45% agent satisfaction improvement, and 90% time savings on manual QA. The Level AI GitHub organization (github.com/Level-AI) exists but is currently empty — there is no public OpenAPI specification, public SDK, or open-source release; the API is documented and credentialed through the customer's tenant of the Level AI platform.

Level AI is profiled on the APIs.io network. Tagged areas include Artificial Intelligence, Contact Center, Customer Experience, Conversational Intelligence, and Auto QA.

Level AI’s developer surface includes engineering blog, GitHub presence, and 19 more developer resources.

🌐 Visit website 📡 Source on GitHub

9.1/100 minimal ▬ flat Agent 0/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Artificial Intelligence Contact Center Customer ExperienceConversational IntelligenceAuto QAQuality Assurance Agent Assist Voice of the Customer Generative AI Voice AI Speech Recognition Sentiment Analysis CoachingCall Center AnalyticsLLM

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 9.1/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 0.5 / 20

Access Clarity 2.9 / 20

Operational Transparency 0.7 / 13

Contract Governance 0.0 / 12

Discoverability 5.0 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/level-ai: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Level Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Level Ai Trust Center

SOC 2, ISO 27001, HIPAA, GDPR

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Login

Build 1

SDKs, sample code, and the tooling you integrate with

GitHub

GitHub

Access & Security 2

Authentication, authorization, and security posture

TrustCenter

TrustCenter

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

ContactUs

ContactUs

Company 8

The organization behind the API

Website

ChannelPartners

Blog

AboutUs

Careers

LinkedIn

Twitter

Twitter

Crunchbase

Crunchbase

Scroll for all 8

Other 8

Properties that don't map to a standard resource type

AIPlatform

AgentAssist

AgentGPT

AutoQA

Analytics

Coaching

ResourceCenter

Scroll for all 8

Source (apis.yml)

aid: level-ai
name: Level AI
description: 'Level AI (legally Ujwal Inc.) is a Mountain View, California contact center AI company founded in 2019 by Ashish
  Nagar, a former member of Amazon''s Alexa conversational AI team. The company builds LLM-native customer experience intelligence
  and service automation for enterprise contact centers, with a platform spanning two product surfaces: a CX Delivery suite
  (AI Virtual Agent, Agent Assist, AgentGPT, Coaching, Manager Assist, Knowledge Bot, Auto Summary, Agent Screen Recording)
  and a CX Strategy suite (Auto-QA on 100% of interactions, Voice of the Customer theme detection, omnichannel Analytics,
  iCSAT, AI Workers). The proprietary full-stack AI platform includes Level AI''s own ASR/Voice AI and semantic-intelligence
  layer trained on customer-service data, and is positioned for financial services, insurance, healthcare, retail, banking,
  and collections operations. Level AI exposes a public REST API for bidirectional data exchange with BI tools and existing
  contact center stacks, and ships native integrations across telephony, CRM, customer support, workforce management, CX management,
  communication, learning management, and SSO categories. The company has raised $73.1M to date (Series A 2021, Series B 2022
  led by Battery Ventures, Series C $39.4M 2024 led by Adams Street Partners with Cross Creek, Brightloop, Battery Ventures
  and Eniac Ventures), holds a 4.7/5 rating on G2, and reports customer outcomes including 25% CSAT lift, 45% agent satisfaction
  improvement, and 90% time savings on manual QA. The Level AI GitHub organization (github.com/Level-AI) exists but is currently
  empty — there is no public OpenAPI specification, public SDK, or open-source release; the API is documented and credentialed
  through the customer''s tenant of the Level AI platform.'
type: Index
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
position: Producing
access: 3rd-Party
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/level-ai.png
tags:
- Artificial Intelligence
- Contact Center
- Customer Experience
- Conversational Intelligence
- Auto QA
- Quality Assurance
- Agent Assist
- Voice of the Customer
- Generative AI
- Voice AI
- Speech Recognition
- Sentiment Analysis
- Coaching
- Call Center Analytics
- LLM
tags_raw:
- Artificial Intelligence
- Contact Center
- Customer Experience
- Conversational Intelligence
- Auto QA
- Quality Assurance
- Agent Assist
- Voice Of The Customer
- Generative AI
- Voice AI
- Speech Recognition
- Sentiment Analysis
- Coaching
- Call Center Analytics
- LLM
url: https://raw.githubusercontent.com/api-evangelist/level-ai/refs/heads/main/apis.yml
created: '2026-05-24'
modified: '2026-05-24'
specificationVersion: '0.23'
apis: []
common:
- type: TrustCenter
  url: security/level-ai-trust-center.yml
- type: DomainSecurity
  url: security/level-ai-domain-security.yml
- type: Website
  url: https://thelevel.ai
- type: AIPlatform
  url: https://thelevel.ai/ai-platform/
- type: AgentAssist
  url: https://thelevel.ai/agent-assist/
- type: AgentGPT
  url: https://thelevel.ai/agentgpt/
- type: AutoQA
  url: https://thelevel.ai/auto-qa/
- type: Analytics
  url: https://thelevel.ai/analytics/
- type: Coaching
  url: https://thelevel.ai/coaching/
- type: Integrations
  url: https://thelevel.ai/integrations/
- type: ChannelPartners
  url: https://thelevel.ai/channel-partners/
- type: ResourceCenter
  url: https://thelevel.ai/resource-center/
- type: Blog
  url: https://thelevel.ai/blog/
- type: AboutUs
  url: https://thelevel.ai/about-us/
- type: Careers
  url: https://thelevel.ai/careers/
- type: ContactUs
  url: https://thelevel.ai/contact-us/
- type: Login
  url: https://level.thelevel.ai/
- type: GitHub
  url: https://github.com/Level-AI
- type: LinkedIn
  url: https://www.linkedin.com/company/level-ai
- type: Twitter
  url: https://twitter.com/thelevelai
- type: Crunchbase
  url: https://www.crunchbase.com/organization/level-ai
- type: G2
  url: https://www.g2.com/products/level-ai/reviews
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

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