Comparing Balto and Level AI? Both are Agent Assist & Copilots and Contact Center & CCaaS tools in the directory, which is why buyers put them on the same shortlist. Below is a side-by-side look at how they price, what they integrate with, and when each is the better fit, so you can pick on the facts rather than either vendor's own sales page.
| Attribute | Balto | Level AI |
|---|---|---|
| Pricing | Paid · Custom | Paid · Custom |
| Founded | 2017 | 2019 |
| Categories | Agent Assist & Copilots Contact Center & CCaaS Voice & Phone AI | Agent Assist & Copilots Contact Center & CCaaS QA & Conversation Analytics |
| Integrations | Five9 Genesys Cloud NICE CXone RingCentral 8x8 Salesforce | Genesys NICE CXone Five9 Talkdesk Salesforce Zendesk |
Balto puts the right words on the agent's screen while the call is still happening. Founded in 2017 in St. Louis by Marc Bernstein and Chris Kontes, it pioneered real-time guidance for contact centers: dynamic checklists, objection responses, and compliance language that appear mid-conversation, exactly when needed, rather than in a coaching session three weeks later. In industries like collections, insurance, healthcare, and home services, where certain sentences are legally required and certain mistakes are expensive, that immediacy is the whole product.
The platform has grown around that core into real-time QA that scores every call as it happens, AI coaching that spots which behaviors need work, live compliance monitoring with manager alerts, and Togo, Balto's voice AI agents for the repetitive calls, like scheduling and account verification, that never needed a human. It integrates with the major contact-center platforms, including Five9, Genesys Cloud, NICE CXone, RingCentral, and 8x8.
Balto raised a $37.5 million Series B led by Stripes in 2021, with RingCentral's venture arm participating, bringing total funding to roughly $52 million, and remains one of the flagship companies of the St. Louis tech scene, with customers like Humana, GEHA, Nelnet, NewRez, and Staples Canada. Pricing is quote-based; there is no public price list.
Choose Balto when what is said on live calls carries real regulatory or revenue weight. Pure digital-support teams will find better fits elsewhere in this directory, but if your operation runs on phone conversations where compliance phrasing and in-the-moment guidance decide outcomes, Balto's real-time focus is still the sharpest in the category.
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Level AI is what happens when someone who helped build Amazon's Alexa turns the same technology on the contact center. Founder Ashish Nagar worked on the Alexa Prize conversational AI effort before starting Level AI in 2019, and the product's core bet is that quality assurance should be about meaning, not keywords. Its semantic engine scores every conversation against your rubrics by understanding intent, so an agent who solved the problem politely but never said the magic phrase still scores well, and one who recited the script while losing the customer does not.
Automated QA is the anchor, and around it the platform builds the full intelligence loop: real-time agent assist that surfaces answers from your knowledge sources during live conversations, voice-of-customer analytics that tell leaders what is driving contacts and sentiment, agent screen recording for the full picture, and AI virtual agents for handling routine interactions outright. It integrates with the usual suspects, including Genesys, NICE CXone, Five9, Talkdesk, Salesforce, and Zendesk.
The company, based in Mountain View, has raised about $73 million, most recently a $39.4 million Series C led by Adams Street Partners, and counts Vistaprint, Purple, Extra Space Storage, and Smartsheet among its customers. Pricing is quote-based with nothing public, typical for the category.
Level AI competes most directly with Observe.AI and the QA suites inside bigger platforms, and the honest differentiator is its semantic scoring and analytics depth. Shortlist it if your QA program has outgrown checklists and you want conversation data treated as a source of insight rather than a compliance chore, especially if you run a mid-size to large team on one of the contact-center platforms it plugs into.
Read the full Level AI listing → · See Level AI alternatives →
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