Periscope ChatCustom AI agents for multilingual customer engagement across channels

4.7 (6)

Reviewed by Daniel Nikulshyn·Updated May 2026

Customer Support Conversational AI Multilingual AI Agents Omnichannel Automation No-Code

Overview

Periscope Chat is an AI platform that lets businesses build custom conversational agents to handle customer interactions. The agents can be deployed across multiple communication channels and are designed to maintain consistent, context-aware conversations with users in their preferred language. The platform focuses on multilingual support, making it suitable for companies serving global audiences or operating in regions with diverse language needs. Teams can configure agents to reflect their brand voice, knowledge base, and specific customer service workflows. By centralizing customer engagement through AI agents, Periscope Chat aims to reduce response times, scale support operations, and provide a more uniform experience whether customers reach out via web chat, messaging apps, or other touchpoints.

Key features

Custom AI agent builder
Multilingual conversation handling
Multi-channel deployment
Brand and tone customization
Customer engagement automation
Knowledge base integration

Pricing

Model: Freemium
Category: Chatbots
Rating: 4.7 / 5 (6)

Use cases

Global Multilingual Customer Support

Deploy AI agents that converse with customers in their preferred language, enabling consistent support for international audiences without hiring multilingual staff.

Brand-Aligned Conversational Agents

Configure agents to reflect a company's tone, voice, and knowledge base so customer interactions stay on-brand across every channel.

Scaling Support Operations

Automate repetitive customer inquiries with AI agents to reduce response times and handle higher volumes without expanding the support team.

Omnichannel Customer Engagement

Centralize customer conversations by deploying the same AI agent across multiple communication channels for a unified support experience.

Pros & Cons

Pros

Supports multiple languages out of the box
Deploys across several communication channels
Customizable agents for brand-specific use cases
Helps scale customer support without adding headcount

Cons

Custom agent setup may require time and tuning
Quality depends on the knowledge base provided
Limited public information on pricing and integrations

Reviews

4.7

Average from 6 ratings.

Nadia Petrova

May 22, 2026

Solid for our team

We rolled this out across the team last quarter and supports multiple languages out of the box. Custom AI agent builder fits neatly into how we already work, and custom AI agent builder removed a step we used to do by hand. but it has held up under daily use.

Kwame Mensah

Mar 2, 2026

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on knowledge base integration, and supports multiple languages out of the box caught me off guard. Quality depends on the knowledge base provided is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Daniel Schmidt

Jan 27, 2026

Does the job

Pretty happy overall. Multi-channel deployment just works and deploys across several communication channels. but no dealbreakers — I'd recommend it to a friend without hesitating.

Margaret Whitfield

Dec 27, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is brand and tone customization — handled better than most — and supports multiple languages out of the box. Custom agent setup may require time and tuning is my one real gripe. Worth the time if this is your use case.

Victor Nguyen

Sep 23, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is multilingual conversation handling — handled better than most — and customizable agents for brand-specific use cases. Worth the time if this is your use case.

Rina Desai

Aug 24, 2025

Solid for our team

We rolled this out across the team last quarter and customizable agents for brand-specific use cases. Multi-channel deployment fits neatly into how we already work, and custom AI agent builder removed a step we used to do by hand. Limited public information on pricing and integrations, which is the main caveat, but it has held up under daily use.