Mano AI

2023
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Empower Your Enterprise with Custom Fine-Tuned LLMs - Mano AI


Mano AI offers a highly secure, enterprise-grade LLM platform that integrates with your private cloud. Access GPT-4 and other LLMs with full ownership and zero risks.

Pricing:Freemium, $9/mo
Semrush rank:26.5m
Location:Reykjavik, Iceland
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Features

  • Enterprise Customization: Fine-tune large language models (LLMs) according to your enterprise's unique data and usage, ensuring a competitive edge with a product that learns and evolves with you.
  • Simplified Integration: Deploy Mano AI directly onto your cloud environment, streamlining conversational search, Q&A, and other applications without the need for extensive ML expertise.
  • Scalable Data Handling: Mano AI's platform is capable of integrating with terabytes of data from diverse sources, offering tailored access to the information you need, when you need it.
  • Robust Security: Your data never leaves your cloud. Mano ensures compliance and reduces risk by hosting models on-premise or via protected bastion clouds.
  • Affordable Flexible Pricing: Choose from a range of pricing plans designed to fit any budget, from free tier access to advanced team functionalities, enhancing affordability and inclusivity.

Use Cases:

  • Effortless Knowledge Access: Businesses like Studio.com utilize Mano to instantly access information from extensive video transcript databases, transforming efficiency and creativity.
  • Workflow Optimization: Companies such as Moonware have ingrained LLMs into their culture with Mano, simplifying tasks and boosting productivity through seamless integration.
  • Architecture Refinement: Professionals at Microsoft leverage Mano's enterprise solutions for advanced document extraction and first-pass design review, accelerating project delivery.

Mano AI's partnership with GigaML and commitment to secure, customizable, and scalable LLMs empowers enterprises to step into the future of data intelligence and AI-driven innovation while preserving integrity and ownership of their data.


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