Unleash.so

Name: Unleash.so Introduction Video
Uploaded: 2025-04-26T19:06:03Z
Duration: 1 min 33 s
Description: Save months building AI assistants with Unleash's 70+ integrations to leading SaaS tools

About Unleash.so

Launched Oct 31, 2024

Introduction Video

Description

Save months building AI assistants with Unleash's 70+ integrations to leading SaaS tools

Unleash has built a powerful, cloud-native, AI-powered semantic search engine that securely connects, processes, and indexes organizational data from 70+ enterprise data sources. Our search technology, combined with our AI agent management solution, enables businesses to create state-of-the-art conversational experiences, rooted in their own private organizational knowledge.

Unleash.so Key Features

- Chat API - embed Unleash in your product and provide a chat interface connected to your data
- Semantic search engine - using Unleash you can search across all your SaaS tools and get instant answers
- Agent assistant - use Unleash in Zendesk or Salesforce and enable agents to recieve suggested responses based on the company's knowledge hubs
- Slack AI assistants - invite Unleash to public channels as a participant, Unleash assistant can be customized to provide answers to questions based on relevant knowlege hubs

Unleash.so Use Cases

- CX teams - agent assistant and native embedding in Salesforce cases and Zendesk agent assistant
- GTM teams - get answers about the product and marketing collaterals and never spend time waiting for answers again.
Knowledge managers - create wikis for the company and ensure all company documenation and policies can be found with ease.
- R&D - build AI agents using Unleash API

Pros

Offers extensive integration options with over 70 enterprise data sources, making it highly versatile.
Cloud-native and AI-powered, ensuring advanced technological capabilities for semantic search.
Facilitates the creation of state-of-the-art conversational experiences tailored to organizational knowledge.
Enhances productivity by securely processing and indexing organizational data efficiently.
Speeds up the development of AI assistants, potentially saving months of work for businesses.

Cons

May require initial setup and integration efforts, particularly for organizations with complex data environments.
Reliance on cloud infrastructure might be a concern for businesses with strict on-premises data storage policies.
Some users might experience a learning curve when managing AI agent solutions, especially without prior experience.