In a bold challenge to mainstream cloud-based writing assistants, Metagramm Software Ltd., a subsidiary of Viewbix Inc., has unveiled a new AI-driven grammar engine—but with an enterprise-first twist: it lives entirely on-premise.
Unlike Grammarly or Google’s language tools, which rely heavily on public data and cloud-based infrastructure, Metagramm’s new solution is designed for organizations that simply can’t afford to take risks with sensitive information. Think finance firms, law offices, government agencies, or healthcare providers—places where communication must be razor-sharp and data privacy is non-negotiable.
“Most grammar engines are cloud-based and trained on general public data, which often fails to meet the needs of enterprise-level communication,” said Amit Greener, CEO of Metagramm. “Our solution is different—it learns from the company’s own content, securely and privately.”
The grammar engine is expected to be rolled out within six months and is based on Metagramm’s proprietary AI technology, developed in-house by a team of linguistic and machine learning experts.
What Makes It Different?
At its core, Metagramm’s offering goes beyond the typical grammar-and-style checkers that flood consumer markets. This engine is designed to mirror the internal language of a company—its tone, voice, and industry-specific terminology. Here’s what stands out:
- On-Premise Deployment: Installed within the company’s own IT environment, offering complete data ownership and compliance with security regulations like GDPR, HIPAA, and others.
- Custom Language Models: Built and trained using the organization’s own documents, emails, and communications guidelines, ensuring hyper-contextual accuracy.
- High Accuracy in Specialized Fields: Tailored correction for industry-specific jargon—essential for regulated sectors where even a small wording error can have legal or financial implications.
- Secure Integration: Compatible with internal systems such as document management tools, intranets, and email platforms, without requiring external APIs or cloud services.
- Multilingual Intelligence: Designed to work across global organizations with localized grammar correction in multiple languages.
With generative AI tools flooding the enterprise landscape, IT leaders are growing increasingly cautious about how these models handle proprietary or sensitive data. The popularity of tools like ChatGPT or Grammarly has raised real concerns about what happens when enterprise communications—drafts, client notes, contracts—are analyzed by third-party platforms.
Metagramm is betting on a future where enterprises demand AI precision without sacrificing privacy. And they’re not alone. The AI compliance and privacy tech market is heating up fast, with other startups and big tech players scrambling to offer “private AI” options for high-stakes sectors.
By positioning itself as a language intelligence partner—not just a grammar checker—Metagramm is offering more than convenience; it’s offering control.
The immediate audience is obvious: sectors where words matter and data must be protected.
- Law firms can ensure contracts and filings reflect correct tone and terminology, without exposing sensitive client data.
- Healthcare providers can align clinical documentation with organizational standards while keeping patient information secure.
- Banks and financial institutions can maintain brand voice across all communications while staying compliant with industry regulations.
- Government agencies can produce polished, policy-compliant communications without routing anything through the cloud.
Metagramm’s grammar engine is on track for a full launch within six months. In the meantime, Viewbix’s push into secure enterprise AI highlights a growing trend: AI tools are no longer just about automation—they’re about adaptation and assurance.
If this grammar engine delivers on its promise, it could reshape how large organizations think about AI-assisted writing. Because in high-stakes sectors, clarity and confidentiality aren’t optional—they’re everything.
