XTM TECHNOLOGY PARTNER

XTM + ModelFront

AI translation quality control for enterprise localisation

Machine translation scales your output. XTM and ModelFront make sure it meets your standard — automatically evaluating, improving, and routing every segment before it reaches your reviewers or your customers.

Book a demo
Modelfront logo

Why machine translation fails at scale without quality control

Scaling machine translation creates a quality problem most enterprise teams manage badly. Automate everything and errors reach customers. Review everything manually and the efficiency gains disappear. Without a quality control layer built into the workflow, you are choosing between speed and accuracy — and neither option is sustainable at scale.

 

Automate without control

Errors reach customers, damage brand trust, and create compliance risk across markets.

Review everything manually

Post-editing costs cancel out machine translation savings. Throughput gains are lost.

No quality visibility

Without measurement, you cannot identify where machine translation is failing or improving.

The solution

 XTM and ModelFront close the gap between machine translation speed and human-level quality — building quality prediction and automated post-editing directly into your localisation workflow. 

Book demo

How AI translation quality control
works — step by step

XTM and ModelFront create a continuous quality loop inside your existing localisation workflow. Quality is evaluated and improved at every stage — not checked at the end.

  • STEP 1 Translate

    • 1. Translate

    Content is processed by your chosen MT provider inside XTM. Your existing provider setup, language pairs, and workflow configuration remain in place.

    Business type 3 - Alt Con (2)

    2. Evaluate

    ModelFront scores every translated segment in real time against your quality threshold. Each segment is assessed individually — not sampled. 

    Business type - 4 - Alt Con

    3. Improve

    Segments that fall below the quality threshold are automatically improved by ModelFront's AI post-editing engine before reaching human review. 

    Workflow Management - Alt Con

    4. Escalate

    Segments where quality risk remains too high for automation are routed to human linguists — targeted escalation, not blanket review.

    Translation quality - Alt Con

    5. Track

    Quality scores, automation rates, and post-editing cost savings are recorded and reportable across your programme. 

    Translation Management 3 - Alt Con
  • STEP 2 Evaluate

    • 1. Translate

    Content is processed by your chosen MT provider inside XTM. Your existing provider setup, language pairs, and workflow configuration remain in place.

    Business type 3 - Alt Con (2)

    2. Evaluate

    ModelFront scores every translated segment in real time against your quality threshold. Each segment is assessed individually — not sampled. 

    Business type - 4 - Alt Con

    3. Improve

    Segments that fall below the quality threshold are automatically improved by ModelFront's AI post-editing engine before reaching human review. 

    Workflow Management - Alt Con

    4. Escalate

    Segments where quality risk remains too high for automation are routed to human linguists — targeted escalation, not blanket review.

    Translation quality - Alt Con

    5. Track

    Quality scores, automation rates, and post-editing cost savings are recorded and reportable across your programme. 

    Translation Management 3 - Alt Con
  • STEP 3 Improve

    • 1. Translate

    Content is processed by your chosen MT provider inside XTM. Your existing provider setup, language pairs, and workflow configuration remain in place.

    Business type 3 - Alt Con (2)

    2. Evaluate

    ModelFront scores every translated segment in real time against your quality threshold. Each segment is assessed individually — not sampled. 

    Business type - 4 - Alt Con

    3. Improve

    Segments that fall below the quality threshold are automatically improved by ModelFront's AI post-editing engine before reaching human review. 

    Workflow Management - Alt Con

    4. Escalate

    Segments where quality risk remains too high for automation are routed to human linguists — targeted escalation, not blanket review.

    Translation quality - Alt Con

    5. Track

    Quality scores, automation rates, and post-editing cost savings are recorded and reportable across your programme. 

    Translation Management 3 - Alt Con
  • STEP 4 Escalate

    • 1. Translate

    Content is processed by your chosen MT provider inside XTM. Your existing provider setup, language pairs, and workflow configuration remain in place.

    Business type 3 - Alt Con (2)

    2. Evaluate

    ModelFront scores every translated segment in real time against your quality threshold. Each segment is assessed individually — not sampled. 

    Business type - 4 - Alt Con

    3. Improve

    Segments that fall below the quality threshold are automatically improved by ModelFront's AI post-editing engine before reaching human review. 

    Workflow Management - Alt Con

    4. Escalate

    Segments where quality risk remains too high for automation are routed to human linguists — targeted escalation, not blanket review.

    Translation quality - Alt Con

    5. Track

    Quality scores, automation rates, and post-editing cost savings are recorded and reportable across your programme. 

    Translation Management 3 - Alt Con
  • STEP 5 Track

    • 1. Translate

    Content is processed by your chosen MT provider inside XTM. Your existing provider setup, language pairs, and workflow configuration remain in place.

    Business type 3 - Alt Con (2)

    2. Evaluate

    ModelFront scores every translated segment in real time against your quality threshold. Each segment is assessed individually — not sampled. 

    Business type - 4 - Alt Con

    3. Improve

    Segments that fall below the quality threshold are automatically improved by ModelFront's AI post-editing engine before reaching human review. 

    Workflow Management - Alt Con

    4. Escalate

    Segments where quality risk remains too high for automation are routed to human linguists — targeted escalation, not blanket review.

    Translation quality - Alt Con

    5. Track

    Quality scores, automation rates, and post-editing cost savings are recorded and reportable across your programme. 

    Translation Management 3 - Alt Con

1. Translate

Content is processed by your chosen MT provider inside XTM. Your existing provider setup, language pairs, and workflow configuration remain in place.

Business type 3 - Alt Con (2)

2. Evaluate

ModelFront scores every translated segment in real time against your quality threshold. Each segment is assessed individually — not sampled. 

Business type - 4 - Alt Con

3. Improve

Segments that fall below the quality threshold are automatically improved by ModelFront's AI post-editing engine before reaching human review. 

Workflow Management - Alt Con

4. Escalate

Segments where quality risk remains too high for automation are routed to human linguists — targeted escalation, not blanket review.

Translation quality - Alt Con

5. Track

Quality scores, automation rates, and post-editing cost savings are recorded and reportable across your programme. 

Translation Management 3 - Alt Con
about modelfront

How does ModelFront improve machine translation quality?

ModelFront provides the AI quality prediction and automated post-editing layer that sits inside your XTM workflow. It evaluates every MT segment in real time, improves low-quality output automatically, and escalates only what genuinely requires human attention. 

Book demo
AI quality prediction

Evaluates every machine translation segment in real time against your defined quality threshold — at scale, without manual sampling. 

Automated post-editing

Identifies low-quality segments and improves them automatically before they reach human reviewers, reducing post-editing volume significantly.

Intelligent escalation

Routes only genuinely high-risk content to human linguists. Your team focuses on the work that requires them, not on reviewing everything by default.

Performance tracking

Monitors quality scores, automation rates, and cost savings across your programme so you can demonstrate ROI and optimise over time.

WHO THIS IS FOR

When does the XTM + ModelFront integration deliver the most value?

This integration is built for enterprise localisation teams scaling AI translation who need quality control that keeps pace with output volume. It delivers the most value when: 

  • High-volume MT programmes
  • Multi-provider translation environments
  • Regulated and compliance-driven industries
  • Brand-sensitive global markets
  • Teams reducing post-editing spend
  • Programmes that need to report on translation ROI
Book a demo
Speak to an expert
Business type - 2 - Alt Con
754fb9e0-c306-4269-8f71-d9e48276cb35

About ModelFront

ModelFront provides AI quality prediction technology for machine translation, helping enterprise localisation teams increase automation while maintaining accuracy. Their platform specialises in segment-level quality prediction, automated post-editing, intelligent human escalation, and quality and cost monitoring at programme scale. ModelFront integrates with leading translation management systems and MT providers, and is used by enterprise teams managing large-scale multilingual programmes.



Frequently asked questions about AI translation quality control

What is AI translation quality control?

AI translation quality control uses machine learning to evaluate machine translation output at the segment level — identifying quality issues, predicting error risk, and determining which content requires human review. It allows enterprise teams to scale translation automation while maintaining accuracy and consistency, without manually reviewing every segment. 

What is machine translation post-editing (MTPE)?

Machine translation post-editing is the process of reviewing and correcting machine translation output to reach the required quality standard. Traditional MTPE requires human linguists to review all output. With AI quality prediction from ModelFront, post-editing is targeted — linguists work only on segments where quality risk exceeds what automation can resolve, significantly reducing cost and effort without lowering quality.

How does ModelFront improve machine translation quality?

ModelFront analyses MT output in real time at segment level, using AI to predict whether each translation meets quality thresholds. Segments below the threshold are automatically improved via AI post-editing. Segments where quality risk remains too high for automation are escalated to human review. This eliminates blanket post-editing while maintaining programme quality standards.

Can I keep my existing MT providers when using XTM and ModelFront?

Yes. XTM supports multiple MT providers within a single workflow. You continue using your preferred providers alongside ModelFront's quality estimation layer. Quality prediction is applied consistently across all MT output, regardless of which engine produced it.

How does AI quality prediction reduce post-editing costs?

AI quality prediction identifies which segments meet your quality threshold and which do not — before they reach human reviewers. Segments that pass are delivered automatically. Only those that fail are routed for post-editing. Reducing the volume of content requiring human review directly reduces post-editing cost, without accepting lower quality on the content that passes automatically.

What is translation quality assurance in enterprise localisation?

Translation quality assurance covers the processes, checks, and tools used to verify that translated content meets defined standards before delivery. In enterprise localisation, TQA typically combines automated checks, linguistic review, and quality scoring. ModelFront's AI quality prediction automates and scales the evaluation layer of TQA — applying consistent standards across high volumes of machine translation output without requiring full manual review.

Isolation Mode Icon

Scale AI translation with confidence

You do not have to choose between machine translation speed and human-level quality. XTM and ModelFront give you the quality control infrastructure to automate more translation, reduce post-editing effort, and maintain accuracy across your entire localisation programme. 

Book a demo
Speak to an expert