AI chatbot

Key Features

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  • Customizable Model Selection and Configuration
  • Text File Upload and Analysis
  • Easy Model Deployment via Kamiwaza
  • Advanced Chat Management
  • Favorite Chats and Quick Access
  • In-Chat File Search

Technologies

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  • .Net Core / .Net
  • Azure DevOps
  • Redux
  • PostgreSQL
  • Redis
  • Django
  • AI LLM
  • AI Machine learning
  • TensorFlow
  • Vector DBs
  • Material UI

About

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Duration:

2+ years
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Team Size:

10 people

Enterprises deploying AI-driven conversational tools often face friction in selecting, managing, and scaling NLP models. Fragmented infrastructures and lack of real-time processing limit the effectiveness and adaptability of these solutions.

 

Bliscore built an AI Model Deployment Platform tailored for flexible, high-performance chatbot management. Integrated with HuggingFace, the platform allows seamless selection and deployment of language models for diverse use cases.

 

The platform offers advanced features like chat tagging, searchable histories, and in-chat file analysis to extract contextual insights from uploaded documents. Backed by a real-time infrastructure and scalable database design, it ensures fast and reliable interactions even under high data loads.

 

This solution empowers users to build, manage, and scale intelligent chat interfaces with ease—transforming customer support, internal help desks, and data-driven chatbot experiences.

Do you want something similar?

Book a free consultation and let's discuss your idea!