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EPIC

OVERVIEW

What is EPIC?

The platform in a nutshell

Choosing a QE Model

Match model to content & risk

EPIC FEATURES

Quality Estimation

Score translations automatically

Automated Post-Editing

Clean up MT output at scale

Retrieval-Augmented Generation

Feed context with glossaries

Specialized Models

Language specific models

USE EPIC

Integrations

Connect with your TMS & Tools

API Docs

Technical docs & API references

EPIC APP

Interactive playground & sandbox
Resources

Blogs

Perspectives from our team

Reports

In-depth industry research

Webinars

Live and on-demand sessions

Case Studies

Real results from real teams
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Blackbird

Smarter Content Routing with TAUS EPIC and Blackbird

Build automated workflows that evaluate your machine translations, fix errors on the fly, and route content across your existing tech stack.

CMS

Blackbird

TAUS EPIC

TMS

Human

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Adding an Independent Quality Guardrail

THE CHALLENGE

Localization requires complex file movement across CMS, TMS, and MT engines.

THE SOLUTION

Combining Blackbird orchestration with TAUS EPIC adds an automated quality guardrail directly into your existing pipelines.

TODAY, TEAMS ARE REVIEWING

100%

of their translated content, only because they don't have a reliable way to know which machine translations are good enough to publish.

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How it works:

QE, APE, and Routing

When you add the TAUS EPIC to your Blackbird workflows ("Birds"), you get access to these AI capabilities:

1. QUALITY ESTIMATION (QE)

An automated filter, not another review queue

Instead of relying on human review for every segment, the QE step acts as an automated filter. TAUS EPIC analyzes the source text and the machine translation without needing a human reference, assigning a confidence score (from 0 to 1) to each segment.

2. AUTOMATED POST-EDITING (APE)

A low score doesn't have to mean a human

If a segment scores poorly, it doesn't necessarily have to go straight to a human. The APE step uses Large Language Models (LLMs) to automatically attempt to fix fluency or terminology errors. You can even provide your own translation memories and glossaries so the AI applies your specific brand voice to the corrections.

3. CONDITIONAL ROUTING

The score becomes a decision your workflow can act on

Because Blackbird understands the QE scores generated by EPIC, you can build logic into your workflow.

> 0.86

Blackbird pushes it directly to your CMS.

< 0.86

Even after an APE fix, Blackbird routes it to a human linguist in your TMS.

0.86 is an example threshold — you set your own.

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See It in Action: An Example Workflow

Because Blackbird handles file format conversions, you can connect these tools without writing custom code.

01

Trigger

Your CMS

A new article is published in your CMS (like Contentful).

02

Translate

BLACKBIRD → YOUR TMS

Blackbird routes the file to your TMS (like Phrase or memoQ) to be pre-translated by an MT engine.

03

Evaluate (QE)

TAUS EPIC

The translated file is sent to TAUS EPIC, which scores each segment's quality.

04

Edit (APE)

TAUS EPIC

Segments that fall below your acceptable threshold are automatically post-edited by EPIC to improve the score.

05

The Decision

BLACKBIRD, ON YOUR CRITERIA

Blackbird reviews the final scores and routes them to the next step. You decide what that step is, depending on the QE score.

ABOVE YOUR THRESHOLD

Pushed directly back to your CMS.

STILL NEEDS A HUMAN

Sent to a linguist's queue in your TMS.

06

Notify

Slack

Your team gets a quick update via Slack that the workflow is complete.

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WATCH IT RUN

Blackbird, XTM and TAUS, end to end

Here's an example of how translations are managed across all three tools — the same QE, APE and routing steps, running on a real stack.

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Ready to build your own workflow?

Fill out the form below to get started, and we'll reach out to schedule a brief discovery call.

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Frequently Asked Questions

If you have more questions, we’re here to help support@taus.net