Intento

Automate Localization and Multilingual Experiences with AI Agents and MT

Contact for Pricing

Description

Intento provides an Enterprise Language Hub designed to automate localization and language processes for global businesses. It utilizes AI Agents and advanced Machine Translation (MT) technologies to deliver consistent and authentic language experiences across various touchpoints, supporting over 650 languages. The platform aims to meet complex translation requirements by fine-tuning MT models with historical data, glossaries, and specific tone preferences, integrating seamlessly with existing enterprise systems.

The platform offers solutions tailored for localization teams, customer support, and internal employee communication. It enables real-time translation for support articles, chatbots, agents, documents, and enterprise applications like ServiceNow and Jira. Intento also features an Enterprise GenAI Portal, allowing teams to leverage generative AI for tasks like summarization and tone adjustment in multiple languages, while maintaining security and offering usage-based pricing for these specific features.

Key Features

AI Agents: Handle complex translation requirements with fine-tuning, glossary support, tone control, automatic quality estimation, and post-editing.
Broad Language Support: Provides translation capabilities in over 650 languages.
Extensive Integrations: Connects with over 15 TMS systems, CRM (ServiceNow), collaboration tools (Confluence, Jira), Microsoft, Google, Cognigy, and others.
Real-time Translation: Enables on-the-fly translation for customer support (chats, tickets, knowledge bases) and employee experience (documents, apps).
Enterprise GenAI Portal: Offers generative AI language skills (summarization, tone) with model selection, security focus, and usage-based pricing.
Intento LQA: Provides detailed feedback comparable to human review for error identification and automatic post-editing input.
Translation Management Services: Offers Translation Storage, Translation Memory (TM) Clean Up, MT Evaluation, and MT Maintenance.
Customization: Uses historical translations, glossaries, and tone preferences to tailor output.

Use Cases

Automating enterprise localization workflows.
Providing multilingual customer support via chatbots, live chat, and tickets.
Translating knowledge bases and community forums for self-service support.
Enabling real-time multilingual communication for global teams.
Translating documents and content within enterprise applications (ServiceNow, Jira, Confluence).
Localizing e-commerce content, product reviews, software, and games.
Enhancing multilingual content with generative AI (summarization, tone adjustment).