About
Intento is a comprehensive Enterprise Language Hub built for global organizations that need consistent, high-quality translation at scale. It combines AI agents with machine translation (MT) to deliver personalized language experiences across every customer and employee touchpoint in 650+ languages. For localization teams, Intento fine-tunes MT models using historical translations, glossary support, and tone-of-voice controls — even with limited training data. Automatic quality estimation and post-editing ensure outputs meet specific quality standards, and the platform integrates with over 15 translation management systems (TMS). For customer experience teams, Intento enables real-time translation of support chats, tickets, knowledge bases, and community forums so customers can be served 24/7 in their native language. For employee experience, it translates internal documents, support tickets, and enterprise apps to keep globally distributed teams aligned and included. The Enterprise GenAI Portal adds generative AI capabilities such as tone adjustment, summarization, and multilingual content creation — with model-agnostic flexibility and usage-based pricing instead of per-seat licensing. Intento LQA provides detailed linguistic quality assessment comparable to human review at a fraction of the cost. The platform is designed for enterprises that need a scalable, integrated, and auditable AI language program from day one.
Key Features
- AI Agents for Localization: Fine-tunes machine translation using historical translations, glossaries, and tone-of-voice preferences, with automatic quality estimation and post-editing.
- Multilingual Customer Experience: Enables real-time translation of support chats, tickets, knowledge bases, and community forums across 650+ languages to serve customers 24/7.
- Enterprise GenAI Portal: Provides generative AI language skills (tone adjustment, summarization, content creation) with model-agnostic flexibility and usage-based pricing.
- Linguistic Quality Assessment (LQA): Delivers detailed, actionable quality feedback comparable to human reviewers at a fraction of the time and cost, driving continuous MT improvement.
- Broad Enterprise Integrations: Connects with 15+ TMS platforms and enterprise tools including ServiceNow, Atlassian (Confluence, Jira), Microsoft, Google, and Cognigy.
Use Cases
- Automating enterprise localization workflows by fine-tuning machine translation with brand glossaries and tone-of-voice settings across 15+ TMS platforms.
- Enabling multilingual customer support by translating live chats, helpdesk tickets, and knowledge base articles in real time for 650+ languages.
- Translating internal documents, enterprise apps, and support tickets to support inclusive communication across globally distributed employee teams.
- Running a model-agnostic generative AI program for multilingual content creation, summarization, and tone adjustment without per-seat licensing costs.
- Performing linguistic quality assessment (LQA) to identify translation errors and automatically feed corrections back into MT improvement pipelines.
Pros
- Massive Language Coverage: Supports over 650 languages, making it viable for truly global enterprises with diverse customer and employee bases.
- Deep Enterprise Integrations: Pre-built integrations with major enterprise platforms mean teams can keep using familiar tools without workflow disruption.
- Usage-Based Pricing for GenAI: Pay-per-use model for the GenAI Portal avoids expensive per-seat licensing, making it cost-effective for large organizations.
- End-to-End Localization Automation: Covers the full translation lifecycle from MT customization to quality assurance, reducing reliance on manual processes.
Cons
- Enterprise-Focused Complexity: The platform is designed for large organizations with existing TMS and enterprise tooling — smaller teams or startups may find it over-engineered.
- Implementation Requires Onboarding: Configuring multiagent workflows, integrating existing translation memories, and customizing models requires professional setup assistance.
- Opaque Public Pricing: No self-serve pricing is publicly listed; organizations must book a demo and go through a sales process to get started.
Frequently Asked Questions
What makes Intento different from standard machine translation tools?
Unlike generic MT services, Intento fine-tunes translation models using your own historical translations, glossaries, and tone preferences. It also provides automatic quality estimation, post-editing, and LQA feedback — creating a continuously improving translation program tailored to your brand.
Which enterprise systems does Intento integrate with?
Intento integrates with over 15 translation management systems and major enterprise platforms including ServiceNow, Atlassian (Confluence and Jira), Microsoft, Google, Cognigy, and MetricStream, among others.
How does the Enterprise GenAI Portal work?
The GenAI Portal allows teams to use generative AI for language tasks such as tone-of-voice adjustment, summarization, and multilingual content creation. It is model-agnostic (choose the best model per task) and billed by actual usage rather than per seat.
Is Intento suitable for customer support teams?
Yes. Intento enables real-time translation of customer support chats, tickets, and self-service resources like knowledge bases and community forums, allowing support teams to assist customers 24/7 in their native languages.
Does Intento require a lot of training data to get started?
No. Intento's AI agents are designed to work effectively even with limited training data by leveraging your existing translation history, glossaries, and tone preferences to fine-tune MT models.
