Can we deliver consistently?

It’s the output of a holistic system — vendor selection and briefing, project and linguistic asset management, workflow design, and expectation management — designed to perform under real conditions.

Vendor Management
Project Management
Process Design
Expectation Management
Linguistic Asset Management

Vendor Management

We can’t promise business outcomes, but we can promise Language Quality by controlling who touches your content and under which conditions they work — because language quality starts with sourcing, fit, and accountability.

Quality defined by role + domain fit and consistent performance; achieved through vetting, briefing, calibration, and retention; measured through error patterns, rework rate, on-time delivery, and reviewer agreement over time.

How we do it

Project Management

Language quality is only “real” if it arrives on time, in the right format, with the right context, and with decisions tracked — this is what project management controls.

Quality defined by predictability and decision control across delivery; achieved through structured intake, scheduling, communication, and issue handling; measured through on-time delivery, turnaround stability, number of clarifications, and preventable error rate (wrong files, outdated source, missing context).

How we do it

Process Design

There is no universal “best” process — quality comes from a workflow that matches your use case, assets, internal capacity, and file reality, with controls built in from the start.

Quality defined by a process that is repeatable under real conditions; achieved through fit-for-purpose steps, handoffs, and tooling/asset integration; measured through throughput, handoff friction, defect rate by step, and consistency across releases.

How we do it

Expectation Management

Business impact depends on factors we don’t control — but we can reduce risk by aligning on purpose, audience, constraints, and acceptance criteria before translation begins.

Quality defined by a mutual understanding of “done” (scope, tone, risk tier, approvals); achieved through stakeholder alignment, decision logs, and feedback governance; measured through change-request rate, revision cycles driven by misalignment, approval speed, and repeated issues in feedback.

How we do it

Linguistic Asset Management

Glossaries, term bases, style guides, translation memories, and prompts aren’t “nice to have” — they’re the stable inputs that make quality repeatable across projects, reviewers, and time.

Quality defined by assets that are accurate, current, and consistently applied; achieved through structured creation, ownership, version control, and controlled rollout; measured through terminology compliance, reduction in recurring errors and reviewer rewrites, and consistency across releases.

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Language Quality Assesment

Language Quality Assessments (LQA) typically rely on an error typology (an error-category framework) such as the LISA QA model or MQM/DQF-style typologies often used in TAUS DQF contexts. These typologies can be adapted to match the specific use case by adjusting which error categories matter most, and how severity and weighting are applied.

For example:

Legal contracts: “Accuracy” and “Terminology” carry the highest weight because small nuances can change obligations or risk exposure; style is secondary.

Marketing pages: “Style/Tone” and “Fluency” are weighted more heavily because persuasion and brand voice matter; minor mechanical issues usually carry less weight.

Software UI: “Meaning” and “Consistency” are critical, but you also account for functional constraints like length limits and in-context usability.

When we use LQA as part of vendor qualification, we don’t start from scratch each time. We apply default weighting modes for common content types — essentially pre-configured “evaluation profiles” — so assessment is consistent, comparable, and fit-for-purpose. If a client has specific acceptance criteria (e.g., regulated terminology, strict brand voice, UI length constraints), we adapt those defaults — but we begin with a stable baseline so qualification results remain reliable across vendors and projects.

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