Level AI AI features and pricing (October 2026)

Level AI is a platform for contact centers that scores conversations automatically, assists agents in real time, analyzes customer conversations and runs AI virtual agents. QA teams, support leaders and agents use it across calls, chats and emails.

Level AI is based in Mountain View, California, and had 135 employees and $73.1 million in funding at the time of a 2024 TechCrunch report. Its modules are quality assurance with scorecards and dispute handling, agent coaching with dashboards, Agent Assist, Voice of the Customer Insights, analytics, agent screen recording and an AI Virtual Agent. QA covers calls, chats, emails and bot conversations. Investors named on its site include Battery Ventures and Adams Street Partners. Level AI connects to Salesforce, Zendesk and Five9, and its security page lists SSO and SCIM provisioning.

• Scores conversations for qualityQA-GPT scores calls, chats, emails and bot conversations against a team's existing scorecard and gives evidence, timestamps and quotes for each score. Evaluators can override scores, and corrections feed later scoring. QA teams review more conversations and spend time on calibration and coaching.
• Guides agents in real timeAgent Assist transcribes calls and chats, surfaces knowledge articles and next steps, and writes call summaries and notes. It also raises compliance alerts and sentiment signals for managers. Agents find answers faster, and after-call work gets shorter.
• Analyzes customer conversationsVoice of the Customer Insights analyzes conversations and surveys, infers a satisfaction score between 0 and 10 for each conversation and answers questions such as what drives low satisfaction. Leaders see themes and root causes without sampling a few calls by hand.
• Handles calls and chats itselfThe AI Virtual Agent works across voice and chat in more than 50 languages, follows business rules and authentication steps, and can start outbound contact. It is measured against the same QA rubrics as human agents, so quality stays comparable.

• Scores customer conversations with a hybrid of AI and human review and lets teams keep their existing QA scorecards.
• Security page lists ISO/IEC 27001, SOC 2 Type II, HITRUST CSF and PCI DSS, SAML and OIDC SSO, and states customer data never trains shared models.
• Combines QA, agent assist, analytics and virtual agents in one platform, with the virtual agent measured on the same rubrics as people.

According to TechCrunch the vendor is based in Mountain View, California; its privacy policy follows California law, and the platform runs on Google Cloud.

Pricing is not published, so request a quote and ask about a trial. Hosting runs on Google Cloud, but the security page names no regions, so confirm data location and the data processing agreement. Scoring individual agents is employee monitoring: in the US, check call recording consent and monitoring notice rules by state, and under the EU AI Act, performance evaluation of workers is high-risk from December 2, 2027.

No reviews yet. Be the first to share how your team uses it.

Every review shows its verification level. We read each one before it goes live. How we check reviews