Intento

The page discusses the data-driven approach to automatic translation, its limitations, and how requirements-based translation may address them.

AI didn’t just increase translation volume—it multiplied the number of people and systems producing language. Multilingual content is now created across more teams, tools, and workflows. Without a shared governance layer to keep tone, brand

The newsletter covers how Strava scaled localization in six weeks without training data, why requirements support predictable quality, and how LLM workflows can improve NMT quality.

The company provides a machine translation and multilingual Generative AI platform for global businesses that supports over 650 languages.

Intento releases an interactive benchmark report comparing **229 AI-powered translation tools** across **100 languages**. The report evaluates performance metrics for automation-driven translation solutions, providing a data-driven overview of the current landscape. Users can explore key findings and tool-specific insights through an online interface.

Oct 2026PR NewswireNews article

Intento releases its annual *State of Translation Automation 2026* report, benchmarking 229 translation solutions across 100 languages. The study evaluates performance using 57 AI models and machine translation engines, comparing metrics like quality, cost, and processing time.

Oct 2026IntentoNews article

Intento evaluates 229 translation solutions using 57 AI models and engines to benchmark performance across 100 languages. The report assesses automated translation capabilities from English into diverse linguistic markets. Researchers compare real-world accuracy and efficiency of leading machine translation technologies.

Oct 2026MultiLingualNews article

Intento publishes its ninth annual *State of Translation Automation 2025* report, tracking trends in AI-driven language translation. The report examines adoption rates, enterprise use cases, and evolving challenges in automated translation tools. Key findings highlight shifts toward hybrid human-machine workflows and growing demand for domain-specific translation solutions. Intento’s analysis covers industry benchmarks and emerging technologies shaping the future of multilingual communication.

Oct 2025PR NewswireNews article