FOR IMMEDIATE RELEASE

LUNARTECH Announces Babel, an AI-Powered Document Translation Platform Designed to Deliver Format-Accurate, Enterprise-Grade Localization

March 2026

LUNARTECH today announced the launch of Babel, its AI-powered document translation platform designed to enable organizations, institutions and professionals to translate complex documents across more than 50 languages while preserving full formatting, structure and semantic integrity. Built to address longstanding limitations in document translation workflows, Babel introduces a new standard for how contracts, reports, manuals and regulatory materials are translated, reviewed and deployed across global environments.

Babel is being introduced against the backdrop of a structural global imbalance in access to information. Of the approximately 8.2 billion people worldwide, more than 80% do not speak English, and an estimated 3.3 billion people operate in only a single language. At the same time, a significant portion of professional, legal, educational and technical documentation continues to be produced in a limited number of dominant languages, leaving large segments of the global population effectively excluded from access.

Historically, document translation has been constrained by cost, time and operational complexity. Translating a standard 100-page manual through traditional workflows typically costs between $2,000 and $4,000 per language and requires three to six weeks to complete. Scaling this process across multiple languages often involves coordination across more than a dozen individuals, including translators, domain experts and designers responsible for reconstructing document layouts. As a result, comprehensive multilingual distribution has remained impractical for most organizations outside of large enterprises.

Babel was built to address these constraints at the infrastructure level. Rather than treating documents as unstructured text, the platform applies a multi-stage AI pipeline that interprets documents as structured systems, preserving layout hierarchy, tables, charts, typography and embedded elements throughout the translation process. This approach enables translated outputs to remain fully intact and immediately usable, eliminating the need for manual reconstruction or post-processing.

The impact of this shift is measurable. Internal benchmarks indicate that Babel reduces translation costs by up to 3,000 times, with a 100-page document translated for less than one dollar compared to several thousand dollars under traditional methods. Turnaround times are reduced from weeks to seconds, while throughput increases from approximately 10 pages per day under manual workflows to more than 10,000 pages per day through parallelized AI processing. In multi-language scenarios, documents that would traditionally take several months to localize can now be translated across multiple languages in minutes, without additional human coordination.

Babel is designed to meet the requirements of environments where precision and consistency are critical. The platform supports glossary enforcement to ensure consistent translation of domain-specific terminology across legal, medical and technical contexts, while bilingual output capabilities enable side-by-side review for compliance and audit purposes. Its architecture also preserves complex document elements such as financial tables, engineering diagrams and scientific formulas, allowing outputs to be used directly in professional workflows without compromise.

Security and reliability have been built into the platform from the outset. Babel incorporates enterprise-grade encryption standards, including AES-256 at rest and TLS 1.3 in transit, and is designed to ensure that documents are processed securely and are not used for model training. These features position the platform for use in regulated environments where data protection and confidentiality are essential.

From an operational standpoint, Babel represents a shift from translation as a fragmented, multi-step service to translation as an integrated capability embedded directly into organizational infrastructure. Documents can be uploaded, processed and returned in fully formatted form within minutes, enabling teams to move from localized content production to global distribution without the delays historically associated with translation workflows.

“Babel reflects a fundamental rethinking of how document translation should function at scale,” said LUNARTECH. “For decades, organizations have accepted that translating complex documents requires trade-offs between accuracy, formatting and speed. Babel removes those trade-offs entirely. It allows teams to translate without breaking the structure, without losing meaning and without incurring the costs that have historically limited access.”

The platform has already demonstrated broad applicability across industries. It is being positioned for use in legal and compliance functions requiring clause-level precision, healthcare and life sciences environments managing clinical and regulatory documentation, financial services handling reports and disclosures, and engineering teams working with highly structured technical materials. In each case, Babel is designed to reduce operational friction while increasing speed, consistency and accessibility.

With the launch of Babel, LUNARTECH continues to expand its portfolio of AI-driven infrastructure designed to remove barriers to global communication. While other systems focus on text translation at a superficial level, Babel is positioned as a foundational layer for document-level interoperability, enabling organizations to operate across languages without compromising structure, accuracy or efficiency.

About LUNARTECH
LUNARTECH is a global AI and data science company focused on building technologies that expand access to knowledge, intelligence and opportunity. Its products and initiatives span education, AI tooling and advanced digital infrastructure designed to help individuals and organizations operate more effectively in a rapidly changing world.

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