One workspace, shared context
Channels and threads keep work organized by team, project, or client. Pin briefs, files, and decisions so everyone stays aligned.
Bring people, knowledge, and AI assistants into one place. Start conversations, share files, connect your tools, and turn chat into action – securely and at company scale.
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Companies trust NetBrain.ai
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A simple but powerful dashboard
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All important stats in one place
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Tracks the performance for all key metrics
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Shows you all the new users that subscribed during the last week
Why teams choose NetBrain
Built-in AI assistants
Summarize threads, draft messages and docs, extract action items, and answer questions using your workspace knowledge.
From chat to action
Create tasks, tickets, and calendar notes right from a message. Connect Jira, GitHub, Google Drive, Notion, Slack, email, and more.
Search that actually finds things
Instantly retrieve messages, files, and decisions. Ask natural language questions across your workspace knowledge.
Avoid lock-in
Route across OpenAI, Anthropic, Gemini, Meta, and more; bring your own keys and control cost.
Security by design
Tenant-isolated data, encryption in transit and at rest, and fine-grained permissions. Secrets redaction and full auditability. AI features respect privacy – no training is done on your content without your explicit opt-in.
AI Chat System
Multi-provider LLM support
OpenAI (GPT-4, O-series incl. O1/O3/O4), Anthropic Claude, Google Gemini, DeepInfra—choose the best model per task with dynamic provider selection.
Intelligent chat features
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Streaming responses for real-time feel
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Context-aware threads with history control
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Persona-based behaviors (custom “assistant profiles”)
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Multi-modal: drop text, images, or PDFs into the chat
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Tool integrations: trigger actions, run analysis, fetch data
Knowledge management & RAG
Document processing
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PDF, CSV, Word, Excel, .txt, and more
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Intelligent chunking with tunable parameters
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Vector embeddings for semantic search
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Organized “Document Vault” with smart folders
RAG that works
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Qdrant vector DB integration
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Semantic search across collections
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Dynamic context injection into chat so answers cite the right passages