The enterprise AI translation operating system

Your AI.
Your context.
Your control.

Turn AI translation into a process your enterprise can run. Connect your systems, apply your language knowledge and decide how every piece of content reaches delivery.

Your models. Your suppliers. Your language assets.

Your translation operating system Connected
Your contentCMS · FILES · API Your AIMODEL CHOICE Language context Hello, world.Hola, mundo.Bonjour. YOUR RULES. YOUR REVIEW.
Illustrative architecture
SOC 2 Type 2 assurance
AWS hosting in the US or EU
Unlimited users, across your teams

In good company. In every language.

UberCoca-Cola Europacific PartnersZendeskDuolingoHarley-Davidson
01 / One connected platform

A model is one layer.
This is the operating system.

Connect the systems, knowledge and decisions around translation. Give every team a shared foundation, with the controls their work requires.

Connect the work.

Bring requests in from the tools your teams already use. Apply the right workflow as content arrives, then return it to its destination.

CONNECTORS / API / PORTAL

Carry the knowledge.

Give translations the terminology, memories and instructions your enterprise has built. Keep that context independent of any one model.

MEMORIES / TERMINOLOGY / INSTRUCTIONS

Control the outcome.

Evaluate the result, identify issues and follow your rules. Put people into the workflow where their judgement matters.

EVALUATION / REVIEW / DELIVERY
02 / From a response to a result

See how a translation
becomes ready to deliver.

Follow one illustrative terminology issue through the workflow. Pause the animation or choose a step to see where context, automation and review meet.

EXAMPLE WORKFLOW / BRAND CONTENT
01 / INGEST

A request brings its context.

The source file enters with its language pair, organizational unit and assigned workflow.

SEGMENT 01 · EN → ESContext attached
Start your free trial.
Awaiting translation
Brand unit · English → Spanish · approved terminology
Illustrative sequence. Configure steps, model assignments and review policies for your own content.No content is sent to an AI model.
The principle behind the platform

Automate the work.
Own the decisions.

The model produces a response. Your configuration determines what happens next.

03 / Context that belongs to you

Switch the provider.
Keep the context.

Your terminology, translation memories and reviewer decisions are business knowledge. Apply them when a request runs, across the models you choose.

Assign providers by operation and organizational unit. Use one model for translation and another for evaluation, without rebuilding your language assets around a single provider.

  • Keep approved terminology and brand instructions in the process.
  • Choose from supported AI and MT providers, or connect your endpoint.
  • Import and export language assets in standard formats.
Explore context sensitivity ↗
Your context layerStays with you
TerminologyApproved words
MemoryPrevious decisions
Brand voiceHow you sound
APPROVED TERMINOLOGY / EN → ES

“Start your free trial.”
“Empieza tu prueba gratuita.

Provider: OpenAIContext retained ✓

Select a provider. See what stays with your business.

Interactive illustration. Provider selection demonstrates retained context, not a live model response or an identical-output guarantee.

Your enterprise account
Brand / Marketing
Language assets
Brand voice + product terminology
Model assignment
Gemini · translation
Review policy
In-market editorial review
Access
Marketing team + assigned agency
Example configurations · select a unit to explore
04 / Built around your organization

A shared platform.
Room for every team.

Your enterprise is not one team with one set of rules. Separate brands, regions and suppliers into organizational units with settings that fit their work.

  • Scope assets, workflows, models and permissions to each unit.
  • Keep your existing agencies, freelancers and internal reviewers.
  • Bring requesters and stakeholders into the process without a per-seat license.

Manage the overall structure centrally while giving teams the boundaries and autonomy they need. Suppliers work within the access you assign.

05 / Fit the tools you already use

From your systems.
Back to your systems.

Connect content to the process without making every team become a translation project manager.

Bring work in through maintained connectors, a translation portal or your own integration. Use workflows to coordinate the assets, models and people involved, then return completed content to its destination.

Contentful
Webflow
Figma
GitHub
wxrks
Your website
Your documents
Your product
Your teams

Connected intake → configured workflow → delivery

Connect the content stack.

Work from systems such as Adobe Experience Manager, Contentful, WordPress, Webflow and Zendesk. Match the integration to your content lifecycle.

Build around your process.

Use the API and webhooks for internal systems, events and custom delivery. Bring engineering into the integration plan early.

Give requesters a front door.

Use the portal for work that starts with a person. Keep requests, assignments and language delivery connected to the same process.

06 / Ready for the serious questions

Bring security
into the conversation.

Evaluate the platform with IT, security and procurement from the start. Make the controls part of the buying decision.

United StatesAWS · Virginia
EuropeAWS · Ireland
YOUR HOSTING REGION · YOUR REQUIREMENTS
Review security and data ↗
  • Independent assurance

    SOC 2 Type 2 assurance and supporting documentation for your security review. Review additional material with the team under NDA.

  • Identity and scoped access

    SSO, SCIM and organizational permissions connect access to your directory and the work each person needs to see.

  • Content stays yours

    Stateless AI processing. Your content is not used to train models. Review the data handling commitments and DPA with your procurement team.

  • Infrastructure and data choices

    AWS hosting in the US or EU. Discuss region, tenancy and data requirements as part of the evaluation, alongside the technical pilot.

Coca-Cola Europacific Partners
41,000

employees at Coca-Cola Europacific Partners.

Enterprise in practice

AI adoption is an
operating challenge.

Coca-Cola Europacific Partners shared its approach to translation, shadow AI and the process around the technology. Explore what it takes to connect language work across a global organization.

Read the customer story ↗
07 / A practical path to production

A migration plan.
Not a leap of faith.

Start with your current operation and define what needs to improve. Validate the configuration on real work before production cutover.

01

Discovery

Inventory content, languages, assets, suppliers and existing integrations. Agree on the process gaps and the owners of each decision.

OUTPUT / SHARED SCOPE
02

Build

Configure organizational units, models, workflows and identity. Import language assets and connect the systems in scope.

OUTPUT / CONFIGURED ENVIRONMENT
03

Pilot

Run representative content with your reviewers and suppliers. Measure against a baseline you agree on before the work starts.

OUTPUT / EVIDENCE TO DECIDE
04

Cutover

Move production work with an agreed plan. Support teams through onboarding and use what the pilot taught you to refine the process.

OUTPUT / A WORKING OPERATION

One subscription, priced on volume.

Unlimited users. Enterprise implementation and onboarding are part of the subscription. Align the plan with your content volume and service needs.

Explore plans ↗
For your evaluation team

Good questions.
Clear answers.

Bring your requirements. We’ll work through the details together.

Talk to the team ↗
Can we keep our existing translation suppliers?

Yes. Your agencies and freelancers can work inside your wxrks instance, with your assets, workflows and permissions. You decide who does the work and where review belongs.

Can different teams use different AI models?

Yes. Configure models by operation and organizational unit. Keep your terminology, translation memories and workflow rules as the model behind an operation changes.

What will our security team need?

Start with the security and data documentation. Review hosting region, identity federation, permissions and AI data handling with the wxrks team. Additional assurance documentation is available under NDA.

How do we move from our current TMS?

Start with your content, language assets and current process. The implementation program covers discovery, configuration, asset import, a pilot and cutover. Validate the results before moving production work.

What does the proof of concept measure?

Use your real content and target languages. Agree on editing effort, intake-to-delivery time, the experience for your team and suppliers, and how well the platform fits your process.

Start with a measurable pilot

Prove the process.
On your own work.

Use a 30-day proof of concept to test the quality, workflow and experience with your languages, suppliers and real content.

  1. 01Editing effort against your baseline
  2. 02Time from intake to delivery
  3. 03The experience for your team and suppliers
  4. 04How well it fits your process