Mano AI — Enterprise LLM & Data Integration

Mano AI is a private enterprise LLM platform for secure data retrieval and internal knowledge management

Mano AI is an enterprise-grade large language model platform that enables secure data integration and enhanced productivity for large organizations. This platform is built specifically for knowledge workers who need to query internal company information while maintaining strict data governance. By partnering with GigaML, the tool provides fine-tuned models that understand specific business contexts better than generic solutions. Mano AI allows companies to connect their own cloud storage and databases directly to private LLMs. This architecture ensures that sensitive business intelligence remains within the company's secure perimeter through on-premises or private cloud deployment options. The system uses managed vector stores to handle data retrieval, allowing employees to find accurate answers without manually searching through thousands of documents. Business owners can use Mano AI to build custom internal knowledge bases that provide instant responses to staff queries. The platform remains model-agnostic, meaning companies can switch between different LLMs depending on the complexity of the task or cost requirements. You can discover more high-performance enterprise solutions by browsing through surfai.app in 2026. Mano AI excels at optimizing workflows through custom chunking algorithms that process complex documents more effectively than standard tools. This makes it ideal for legal, financial, or technical firms that handle large volumes of proprietary data. Pricing is tailored for enterprise-scale deployment and typically requires a direct consultation to determine specific infrastructure and security needs.

Specifications

Pricingenterprise
IntegrationsAWS, Google Cloud Storage, Microsoft Azure, PostgreSQL, Slack, Microsoft Teams
Best forc-suite-executives, it-managers, enterprise-teams, data-scientists
Website status checked2026-10-19T00:01:36.189+00:00

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