AI Machine Translation

AI that translates on your terms

Route every segment to the best engine, learn from your corrections and keep terminology and data firmly under your control.

★★★★★
Trusted by 4,200+ professional translators
Core Capabilities

Multi-engine routing

Each segment goes to the engine that performs best for that language and domain, with automatic fallback.

 

Fine-tuned memory

Your TM and glossary are injected as context, so output already sounds like you.

Terminology safety locks

Approved terms are enforced on every segment and never silently overwritten.

Private & Immutable Data

Your content is never used to train third-party models; engine logs stay auditable and yours.

Why teams switch

The difference, line by line

The hard part is rarely the language,  it is the process around it. Here is what changes the moment the work lives in one place.

 

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Image
100+
language pairs
0
data used to train
60%
cost vs human-only
<1s
per-segment speed
How it works

From source to shipped in four steps

1

Choose your engines

WordBeam routes each language pair to the strongest model.

2

Inject your context

Glossary and translation memory steer every segment.

3

Translate at scale

Thousands of segments in seconds, on your terms.

4

Layer human review

Promote MT output to an LQA step when it matters.

FAQ

Questions, Answered

Is my content used to train AI models?

No. Your text is not used to train third-party models. Translation runs under enterprise data controls with configurable retention.

Which engine does it use?

WordBeam can route each language pair to the best-performing engine, rather than locking you to a single vendor for everything.

Can I make MT follow our terminology?

Yes. Glossaries and translation memory are applied at translation time, so machine output respects your approved terms and past wording.

How do I keep quality high?

Combine MT with automated QA and an optional human LQA step, so risky content gets reviewed while routine content flows straight through.

Build your Workflow

Set the conditions once. WordBeam handles the rest, every time.