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Translation engine

Translation engine

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Key Results

The AI Translation Agent improved localisation speed by more than 50 percent, increased cultural accuracy by up to 45 percent, reduced revision cycles by 40 percent, strengthened brand consistency by 30–40 percent, and cut translation compliance errors by 70 percent, enabling faster, higher-quality multilingual marketing across all markets.

Executive Project Summary

AquaSource, a multi-market direct selling organisation operating across Europe, faced growing challenges in delivering natural, persuasive marketing content across languages. Their English marketing copy was translated directly into local languages, often losing emotional impact, cultural nuance and brand tone. To fix this, AquaSource partnered with Inovara AI to build a multi-layered AI Translation Agent trained on brand voice, idiom mappings, and localisation rules. The system now delivers fast, context-aware translations that preserve intention, tone and cultural relevance. The project ran smoothly from discovery to prototype, with a clear roadmap for organisation-wide rollout.

The Problem

AquaSource’s marketing materials were created in English and then translated into Bulgarian and other languages for local markets. However, the direct translation process created multiple challenges across regions:

  • English idioms, expressions and culturally-specific references did not translate cleanly
  • Literal translations felt awkward or confusing, reducing marketing impact
  • Local marketing teams frequently rejected translated materials
  • Multiple revision cycles slowed campaign launches
  • Tension grew between marketing and translation teams due to tone misalignment
  • The process was slow, expensive and difficult to scale as AquaSource expanded

What AquaSource needed was not a traditional translation tool, but a system capable of understanding persuasive meaning, adapting tone, and respecting localisation rules in every market.

The Solution

Once both teams agreed on the depth of the problem, AquaSource reset the project with a strategic, agentic approach. The conclusion was clear: generic tools like DeepL were useful, but insufficient. The organisation needed a translation engine that understood:

  • Brand tone
  • Marketing persuasion
  • Cultural nuance
  • Idioms and context
  • Which words must remain in English
  • Local market sensitivities

“This was when we realised translation is not the same as communication. We needed a system that understands people, not just words.”

To accelerate delivery, AquaSource aligned with Inovara AI on a highly structured solution: a multi-agent Translation Engine built specifically for marketing localisation.

The system included:

Translation Agent

Generates first-pass translations based on DeepL and custom rules.

Brand Tone Agent

Ensures AquaSource’s voice remains consistent across markets.

Copywriting Agent

Strengthens clarity, persuasion and marketing energy.

Cultural Idioms & Expression Database

Replaces literal translations with local equivalents.

Proofreader Agent

Performs final polish and coherence checks.

Continuous Feedback Loop

Local reviewers rate translations, feeding data back into the system for ongoing improvement.

This agentic model delivered what Custom GPTs could not:

multiple layers of logic, reasoning, brand enforcement and cultural integration.

The collaboration ran smoothly. AquaSource delivered brand guidelines, internal references and example translations. Inovara handled agent training, built the feedback interface and planned incremental releases:

  • v0.1 prototype – 15 September
  • v1.0 marketing release – 3 November (TBC)
  • v1.1 organisation rollout
  • v2.0 continuous improvement based on live feedback

“You could feel it was in safe hands. Every nuance—every product name, every rule about what stays in English—was captured and respected. The process was thoughtful and professional from start to finish.”

The Results

1. Faster, Self-Serve Translations

Marketing gained the ability to generate high-quality translations instantly.

Turnaround time improved by 50–65 percent.

2. More Culturally Relevant Messaging

Idioms and expressions were adapted to fit Bulgarian linguistic and cultural norms.

Cultural accuracy increased by 35–45 percent.

3. Reduced Friction Between Teams

Tone alignment improved dramatically, reducing revisions.

Revision cycles dropped by 40 percent.

4. Consistent Brand Voice Across Markets

The Brand Tone Agent ensured AquaSource’s persuasive, natural style remained intact.

Brand consistency improved by 30–40 percent.

5. Better Compliance With Terms That Stay in English

The system learned which phrases must remain English-only.

Compliance errors reduced by 70 percent.

6. Scalable Foundation for New Markets

With localisation logic built-in, AquaSource can confidently enter new regions.

Cross-market scalability increased by 45 percent.

Overall Impact

The AI Translation Agent transformed AquaSource’s localisation workflow from a slow, revision-heavy process into a fast, culturally aligned, brand-safe communication engine. Marketing gained speed. Translation gained clarity. Local teams gained trust in the output. And AquaSource gained the confidence to scale into additional European markets with messaging that resonates.

"Incredibly gifted and insightful!  So glad that we met Dan and his team in 2024. What amazes us most is their depth of knowledge across so many areas. They quickly understood our business, broke down challenges, and helped us find and implement the right solutions."

Jeff Lestz, CEO at Genistar
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