Carbon AI

🖼️ Tool Name:
Carbon AI

🔖 Tool Category:
Enterprise AI orchestration layer; it falls under the category of data-to-LLM integration platforms enabling Retrieval-Augmented Generation (RAG) and contextual AI over private datasets.

✏️ What does this tool offer?
Carbon AI bridges internal business data (e.g., documents, APIs, CRMs, PDFs, SQL databases) with large language models (LLMs) to enable intelligent search, Q&A, summarization, and automation. It offers plug-and-play connectors for over 25+ enterprise data sources, a visual pipeline builder, hybrid search indexing, and fine-tuned control over AI behavior, accuracy, and compliance.

⭐ What does the tool actually deliver based on user experience?
• Ingests unstructured, structured, and semi-structured data without coding
• Provides RAG pipelines that return context-aware LLM outputs
• Supports real-time document Q&A, chatbot experiences, and internal copilots
• Used by teams to deploy AI assistants over proprietary data securely
• Visual dashboard for managing sources, pipelines, and model behavior
• Flexible: works with multiple LLMs (OpenAI, Anthropic, Mistral, etc.)
• Great for knowledge bases, legal, support, and enterprise search

🤖 Does it include automation?
Yes — Carbon AI is built around intelligent automation:
• Auto-indexing and embedding of data sources
• Automated creation of semantic and hybrid search pipelines
• Automatic context injection and LLM prompt tuning
• Real-time response pipelines with fallback and reranking logic

💰 Pricing Model:
Contact-based (custom pricing)

🆓 Free Plan Details:
• No public free plan available
• Demo access and trial can be requested by contacting the team
• Geared toward teams and enterprises rather than individuals

🧭 Access Method:
• Web-based platform with team dashboard
• Supports private cloud and on-prem deployment
• Works with major cloud services and LLM APIs
• Requires onboarding via sales/demo request

🔗 Experience Link:
• Official website: https://carbon.ai
• Request Demo: https://carbon.ai/request-demo