A Pinch, a Twitch, and Everything in Between: Pinch’s Christian Safka and Twitch’s Susan Maria Howard were among the top language industry leaders who joined hundreds of attendees on March 18, 2025, for the first SlatorCon Remote conference of the year.
Kicking off the day’s events, Slator’s Head of Advisory, Esther Bond, welcomed attendees and invited Managing Director Florian Faes to share the latest findings and insights in his highly anticipated 'industry health check.
In his presentation, Faes began by reflecting on the challenges of 2024. He discussed data from Slator’s 2025 Language Service Provider Index (LSPI) and highlighted the growth of interpreting-focused companies, contrasted with the struggles faced by small, undifferentiated agencies and the rapid rise of language AI, driven by companies like ElevenLabs and DeepL.
Faes also highlighted key findings from Slator’s 2025 Localization Buyer Survey, including the challenges buyers face in implementing AI and the growing need for AI partners to address inefficiencies. He also noted the mixed outlook for the industry in the year ahead.
LLMs Are Just the Beginning
The first expert presentation was delivered by Sara Papi, a Postdoctoral Researcher at the Fondazione Bruno Kessler, who discussed the current state of research in simultaneous speech-to-text translation.
Papi highlighted discrepancies between the original definition and current practices in the speech translation field, identified through a review of expert literature. She specifically pointed out issues related to the use of pre-segmented speech and inconsistencies in terminology.
Slator’s Head of Research, Anna Wyndham, moderated the first panel of the day, featuring Simone Bohnenberger-Rich, Chief Product Officer at Phrase; Simon Koranter, Head of Global Production & Engineering at Compass Languages; and Matteo Nonne, Localization Program Manager at On.
The panelists discussed the evolving role of generative AI in localization, highlighting its shift from initial experimentation to scalable solutions that drive growth. They shared insights on how AI is transforming localization from a cost center into a strategic function by enabling customized, context-aware content adaptation and addressing challenges related to return on investment (ROI) and stakeholder expectations.
Slator’s Alex Edwards, Senior Research Analyst, moderated another panel discussion focused on the adoption of large language models (LLMs) for AI translation in enterprise workflows. Panelists Manuel Herranz, CEO of Pangeanic, and Bruno Bitter, CEO of Blackbird.io, explored whether LLMs truly represent the state of the art.
Herranz and Bitter emphasized that middleware and techniques like Retrieval-Augmented Generation (RAG) are more advanced, and highlighted the importance of fine-tuning smaller, domain-specific models. They also discussed the role of orchestration technology in effectively managing a range of AI tools.
In his presentation, Supertext’s CEO Samuel Läubli echoed insights shared by other speakers, emphasizing that LLMs generate fluent texts by considering broader context. He explored the implications of an AI-first era for translation, the rise of smaller competitive players, and the continued importance of human expertise.
Läubli highlighted that the new Supertext resulted from a 2024 merger between LSP Supertext and AI translation company Textshuttle. He remarked, “I’ve been working in this field for 10 years now, but I haven’t seen a system or AI agent that can guarantee a correct translation — and I’m quite sure I won’t see it in the next 10 years.”
Teresa Toronjo, Localization Manager at Malt, discussed collaboration within leaner localization teams, stressing the importance of diverse partnerships, scalable processes, and maintaining quality consistency with cost-effectiveness guided by experts.
If you missed SlatorCon Remote March 2025 in real-time, recordings will be available soon through our Pro and Enterprise plans.
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