EPIC
Resources
PARTNERS & INTEGRATORS
Connect TAUS EPIC to Your Existing Localization Stack. Advanced Quality Estimation (QE) and Automated Post-Editing (APE) that directly integrates with the translation platforms you already use.
Intelligently routes content across complex, multi-system architectures based on real-time quality scores.
QE
APE
Introduce automated quality gates to your agile, developer-friendly localization cycles so fast-paced updates don't compromise accuracy.
QE
APE
Bridge the gap for your existing translation workflows by injecting QE and/or APE into platforms like Trados and MemoQ.
QE
Inject QE into your memoQ environment to scale volume without expanding human review costs.
QE
Safely automate up to 80% of your post-editing loops without losing quality oversight for high-volume content.
QE
APE
Add a seamless quality-gate layer directly from the RWS AppStore to evaluate standard translation workflows.
QE
Don't see your platform? Build a custom connection.
The TAUS EPIC API is designed for plug-and-play compatibility. If you want to integrate Quality Estimation and Automated Post-Editing into your proprietary tools, you can easily build it yourself.
Frequently Asked Questions
If you have more questions, we’re here to help support@taus.net
- Do I need an engineering or development team to set this up?
For our supported partners, no. Our integrations are designed as native apps or plugins. You simply need to plug in your TAUS API key to get started within tools like Blackbird, XTM, MemoQ, Trados, Phrase, or Crowdin.
- Is this just another LLM prompting tool?
No. TAUS EPIC uses dedicated Quality Estimation models. Unlike generic LLMs, our models are trained specifically on translation data to provide a reliable, confidence score without needing a human reference text.
- What if I translate highly technical or branded content?
We offer customization. If you have at least 25,000 translated segments, we can train a hyper-targeted model entirely on your corporate data and glossaries. This ensures the AI mimics your internal quality standards perfectly, and the resulting model is exclusively owned and accessed by you.
- How much does this cost?
We offer usage-based pricing and prepaid plans depending on your volume. Take a look at our Pricing here. If you want to test the accuracy of our models first, we offer a Free Trial that includes 500,000 free characters so you can upload your own documents and see quality scores in real time.
- Will I lose control of what gets published?
No. You are in control of the "threshold". You decide what score constitutes a "good" translation. Segments that meet your standard can be automatically approved, and anything below that threshold is flagged for your human editors to review.
- How do I get the most accurate QE scores for my specific content?
The most effective way to maximize your integration is by upgrading from a generic model to a Customized QE Model. While generic models are great for standard use cases, a custom model is trained entirely on your corporate data. This means the AI learns exactly how your internal linguists detect and fix errors, making the quality scores hyper-targeted and highly relevant to your specific brand, industry, and quality standards.
- Will I need to change my integration setup to use a custom model?
No. Once your custom model is built, it automatically links to your existing API key and language pairs. Your integration—whether in Trados, Phrase, Crowdin, MemoQ, or Blackbird—will instantly start using the custom model without you needing to change any configurations or write new code.
- Aside from customization, how else can I optimize my workflow?
There are two other key ways to calibrate your system:
Find your threshold "sweet spot": Test a representative sample of your content to find the exact score that separates flawless translations from those needing review. For many, the sweet spot is around 0.86, but you choose this threshold based on your specific risk tolerance.
Use RAG for automatic corrections: If you also use APE to fix poor segments, you can upload your translation memories and glossaries. The system uses Retrieval-Augmented Generation (RAG) to reference these files on the fly, ensuring the AI fixes errors using your approved brand terminology.