# Balto

> Balto is real-time contact centre AI that prompts agents during live calls with disclosure language and next-step guidance, and scores every call against custom compliance scorecards. Its verified depository reference is BrightBridge Credit Union, a roughly $2.4 billion institution that reported cutting manual QA effort by 75%.

| Field | Value |
| --- | --- |
| Founded | 2017 |
| Headquarters | St. Louis, MO |
| Website | https://www.balto.ai |
| Category | Real-time agent assist |
| Best for | Contact centres with disclosure language they cannot afford to miss |
| Primary market | Contact centres across industries; one verified credit union reference |
| Deployment | Cloud |
| Pricing model | Quote only |

## Overview

Balto listens to live calls and prompts the agent while the call is still happening, surfacing required disclosure language, objection handling and next-best-step guidance in the moment rather than in a QA review three weeks later. Around that sit automated QA scoring every call against custom compliance scorecards, a real-time notetaker that writes the call summary, and search and coaching tools over the transcript corpus. The company has since added a voice AI agent product and coverage beyond voice. It was founded in 2017 by Marc Bernstein and Chris Kontes and raised a $37.5 million Series B in 2021, bringing total funding to $52 million at that point.

## Capabilities

- real-time guidance
- automated QA
- call notes
- coaching

## Features

- Real-time prompts to the agent during the live call
- Automated QA scoring across every call against custom compliance scorecards
- Real-time notetaker producing the call summary
- Transcript search and coaching for supervisors
- A voice AI agent product for automated handling

## Integrations

- Existing phone system
- CCaaS platforms
- RingCentral

## Segments served

- credit-unions
- contact-centre

## Ideal customer

| Dimension | Fit |
| --- | --- |
| Institution size | $500M to $5B in assets |
| Volume | A call centre where QA is sampled by hand |
| Team size | 15 to 150 agents |
| Best when | Compliance language on live calls is the risk you are trying to close. |

## Strengths

- Correcting a missed disclosure during the call is worth more than finding it in a review weeks later
- Scoring 100% of calls against a compliance scorecard maps directly onto the disclosure exposure a bank or credit union call centre carries
- One verified community-scale credit union reference with a published metric, which is more than most contact centre AI vendors offer a sub-$10B buyer
- The most recommended agent-assist product when AI assistants are asked about employee-facing AI for financial institutions

## Limitations

- Banking is a small slice of the published customer base. Of roughly 31 case studies on the vendor site, one is a genuine credit union
- One case study filed under banking and credit unions describes a collections agency handling around 4,000 consumer contacts a month, so the category is padded
- Its only large-bank proof point appears solely in Balto's own blog posts rather than any press release or customer announcement, so treat it as unconfirmed
- No published pricing at any tier

## Where it ranks

| Guide | Rank | Award |
| --- | --- | --- |
| Best AI Tools for Banks and Credit Unions (https://aitoolsforbanks.com) | #10 | Best for live call compliance |
| Best AI Tools for Community Banks (https://aitoolsforbanks.com/best/ai-tools-for-community-banks) | #10 | Best live call compliance |

## Common questions

### Does Balto have banking customers?

One verified depository institution: BrightBridge Credit Union in Lawrence, Massachusetts, with about 117,000 members and over $2.4 billion in assets, which reported a 75% cut in manual QA effort. Most of the published customer base is collections, insurance, healthcare and BPO.

### How does Balto work with an existing phone system?

It integrates with the phone system or CCaaS platform already in place and listens to live agent and customer audio. RingCentral is both an investor and a named integration.

**Last checked:** August 17, 2026

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**Source:** https://aitoolsforbanks.com/platforms/balto · **Markdown:** https://aitoolsforbanks.com/platforms/balto.md · **Agent index:** https://aitoolsforbanks.com/llms.txt

AI Tools for Banks. Vendor research for community banks and credit unions. Vendor names and trademarks belong to their owners. Rankings are editorial opinion; the facts beside them are sourced.