Sold by: Tasq.ai
BLEND, tasq.ai company, is a localization and AI translation platform that enables organizations to manage, automate, and control multilingual content workflows across systems and content types.
The platform combines LLMs, quality estimation, AI-assisted review, and human expertise to support scalable, high-quality translation operations.
Overview
BLEND, a tasq.ai company, provides comprehensive AI-powered language solutions leveraging a combination of cutting-edge LLM technology and expert human oversight to ensure high-quality outcomes across a wide range of content and languages. Unlike traditional machine translation, our approach integrates LLM-generated enhancements while maintaining accuracy, nuance, and domain-specific expertise. A core strength of our service is our extensive community of subject matter experts across multiple domains, including legal, finance, medical, technical, and policy. This allows us to handle highly specialized content with precision and reliability. We deliver end-to-end language solutions across the entire value chain, including: Content creation - generating tailored, high-quality text. Translation and localization - adapting content to target languages and cultural contexts. Interpretation - both consecutive and simultaneous, supporting multilingual communication. Transcription - converting audio and video content into accurate text. Editing and proofreading - ensuring linguistic, stylistic, and domain-specific accuracy. Our training model capabilities provide added value by allowing the use of translation memories (TM) and client-specific glossaries, ensuring consistency, brand alignment, and efficiency across all projects. This combination of AI, human expertise, and client-specific linguistic assets enables scalable, high-quality, and reliable language solutions for organizations with diverse and complex needs.
Highlights
- Centralized Localization Platform: Manage multilingual content workflows across various systems and content types using a single, controlled platform that ensures operational oversight and governance.
- AI-Driven Translation with Human Quality Control: Combine LLMs with automated quality estimation and AI-assisted review to scale localization while maintaining high accuracy and reliability.
- Human-in-the-Loop Localization: Apply professional linguistic review by subject matter experts to ensure high quality translation.
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Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
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Dimension | Description | Cost/unit |
|---|---|---|
Processed words common languages | Volume (a minimum of 50,000 words) | $0.13 |
Processed words non-common languages | Volume (a minimum of 50,000 words) | $0.1625 |
Dimensions summary
You pay based on the number of words processed for localization and translation. Pricing splits into two independent usage categories by language type. One dimension covers processed words in common languages. The other covers processed words in non-common languages. Both bill by volume, with a minimum of 50,000 words each. You are charged per word used, so costs scale with how many words you process. Choose the category that matches the languages you need, or use both.
Top-of-mind questions for buyers
The two dimensions bill separately by language type. The listing does not define which languages fall into each category. The vendor supports a network spanning 120 languages. Contact the vendor to confirm which specific languages count as common versus non-common before you commit to a category.
Each category has its own 50,000-word minimum. You are billed for at least that many words per category, even if you process fewer. Above the minimum, cost rises per word processed. The two categories bill independently, so each carries its own minimum.
The two dimensions bill independently and add together on the same invoice. Words in common languages accrue under one dimension. Words in non-common languages accrue under the other. Your total reflects the word volume processed in each category, each subject to its own 50,000-word minimum.
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