2024 Slator Language AI 50 Under 50

Slator 2024 50 Under 50

The landscape of language services and technology is transforming at a rapid pace. With AI, it is now possible to generate, convert, and customize speech and text — at scale and at speed.

The last year has seen language services and technology providers move quickly to harness and extract value from AI. In parallel, a new cohort of AI-enabled startups is continuing to grow. These startups build user-friendly platforms on top of AI models, putting language capabilities directly into the hands of individuals, teams, and enterprises. 

The 2024 Slator Language AI 50 Under 50 provides a snapshot of fifty of the newest and most notable language AI companies. The selection also spotlights new players building AI foundations, as well as companies offering innovative localization workflow solutions.

A key theme this year is the emergence of comprehensive solutions. Last year’s list mainly featured narrow, single use case tools. The 2024 Slator Language AI 50 under 50, in contrast, reveals a trend of companies building out a broad spectrum of AI language capabilities — multilingual and multimodal — in a unified platform.

The list captures a cross-section of new entrants, founded within the last fifty months, ranging from early-stage startups to well-funded platforms.

The Slator 2024 Language AI 50 Under 50 List

Click here to view the full interactive list of the Slator 2024 Language AI 50 Under 50 companies.

AI Multilingual Video and Audio

Speech AI has improved more quickly in the last year than almost anyone expected. Synthetic voices are no longer simply intelligible, but close to natural. Nuances in emotion, pitch, and intonation can be created or replicated. Libraries of synthetic voices span diverse styles, accents, and ages. You can clone a voice with just 3 seconds of audio.

These advances have spurred numerous new competitors to enter the AI multilingual media space. Most of these startups operate a SaaS or pay-as-you-go model, providing users with diverse options to generate, localize, and customize audio and video content. 

Platforms typically combine an array of language AI capabilities such as AI dubbing and AI subtitles (e.g., Camb.ai), AI avatars and video generation (e.g., HeyGen, VerbaLIA), lip sync and voice cloning (e.g., Rask.ai). A few solutions, like Hei.io and Vidby, offer dubbing for both recorded video and real-time broadcasts.

Key target segments include short-form content creators, sports, entertainment, and broadcast media such as TV and streaming platforms.

AI Content Creation

At SlatorCon Zurich in October 2023, Fernando Chueca from Carlyle identified “expansion from localization to content creation” as a major opportunity for the language industry. Enterprises across industries are keen to extract value from AI and need a one-stop shop to meet all their AI language and content needs.

AI language startups are moving into this gap. Platforms such as Ailaysa bring together AI writing, translation, transcription, speech synthesis, and image and text generation in a unified “multilingual content creation” platform. Contents.com similarly combines AI writing with translation and speech-to-text.

Narrower solutions for content creation are still in abundance, however. Most content creation offerings focus on AI writing for marketing. Some AI writing platforms specialize. Examples include GetGloby and Typeface, which provide brand-aligned transcreation for ads, and Write with LAIKA which offers style replication.

Real-Time Speech Translation

2023 saw real-time AI speech translation go commercial, as leading remote interpreting platforms released multi-directional, real-time AI speech translation for online meetings and conferences.

Stand-alone startups are also appearing. Byrdhouse provides real-time captions and speech translation for conferences, while Mabel brings real-time speech translation to medical settings.

AI Transcription

The AI transcription space is dominated by established players (e.g., Verbit and Ai-Media, which recently pivoted from human-centric services to an AI-based SaaS offering). This year’s 50 under 50 list features one new AI transcription startup, Transgate, which targets the research, healthcare and legal sectors.

Localization Tech

Technology for optimizing translation workflows is, like transcription, a more mature language technology category. However, a handful of new entrants are captured in this year’s list. Lugath focuses on app and game localization workflows, while AcudocX streamlines certified translations.

Other players in this category help users harness the potential of AI in the context of translation. Custom.MT enables users to access and integrate AI models for translation, while CoTranslatorAI is an AI translator assistant. CADL is an AI-enabled analytical tool, letting users create and assess localization strategies.

AI Stack

Companies in the AI Stack category build machine learning solutions, and collect data for training AI language models. 

The US, unsurprisingly, dominates the list of machine learning startups. A notable trend, however, is the emergence of Indian and South African companies, such as Lelapa AI, Vambo AI, and Krutrim. These players are building the foundations for a new generation of Indian and African AI language solutions.

Also notable is NuMind, a startup that lowers the barriers to AI for experts and laypersons alike, by providing a no-code platform for creating custom AI models. 

Slator’s annual Language AI 50 Under 50 listing is open to AI and technology companies with localization and / or multilingual capabilities, with a founding date within the preceding 50 months. Companies who are interested in appearing in the 2025 edition may contact Slator.

2024 Slator Language AI 50 Under 50 List

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