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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.
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.
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:
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.
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:
“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:
Generates first-pass translations based on DeepL and custom rules.
Ensures AquaSource’s voice remains consistent across markets.
Strengthens clarity, persuasion and marketing energy.
Replaces literal translations with local equivalents.
Performs final polish and coherence checks.
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:
“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.”
Marketing gained the ability to generate high-quality translations instantly.
Turnaround time improved by 50–65 percent.
Idioms and expressions were adapted to fit Bulgarian linguistic and cultural norms.
Cultural accuracy increased by 35–45 percent.
Tone alignment improved dramatically, reducing revisions.
Revision cycles dropped by 40 percent.
The Brand Tone Agent ensured AquaSource’s persuasive, natural style remained intact.
Brand consistency improved by 30–40 percent.
The system learned which phrases must remain English-only.
Compliance errors reduced by 70 percent.
With localisation logic built-in, AquaSource can confidently enter new regions.
Cross-market scalability increased by 45 percent.
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."



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