How It Works

Storm is your intelligent knowledge environment—purpose-built for professionals who need to cut through the noise, trust their AI partner, and accelerate from inquiry to impact.

DataInformationKnowledgeActionWisdom

Core Architecture

Workspace-based personalization at its core

Domain-Specifics

Each workspace is a distinct cognitive context—Marketing, Research, Finance, Training, and more.

  • Ingest documents and conversations
  • Preserve role-specific context
  • Isolate domains for accurate outputs
Quality-First Vetting

All content is vetted before entering the system, scored on 10 quality attributes.

  • Automatic deduplication
  • Quality scoring system
  • Continuous content review
Grounded Generation

Outputs generated using your preferred LLM, always grounded in vectorized context.

  • Choose your LLM (GPT-4, Claude)
  • Domain-specific knowledge base
  • Transparent source attribution

Private Knowledge Enabled with AI

Your data never trains the AI - we keep your sensitive information completely private

No Training Data Exposure

Unlike traditional AI systems that absorb your data, Storm keeps your information completely isolated from AI training pipelines.

Your Content Stays Isolated

Unlike systems that absorb information into their knowledge base, Storm retrieves and references your documents without feeding them into the AI model's training pipeline. Your sensitive content stays completely isolated from learning algorithms.

Real-Time Retrieval, Not Training

When you ask a question, the system searches your private document store, retrieves relevant passages temporarily, uses this content to generate responses, then discards the retrieved content after responding.

Zero Absorption Risk

Your proprietary information never becomes part of the AI's learned parameters or permanent memory. The AI model remains unchanged - it simply uses your documents as temporary reference material, similar to how a researcher consults books without memorizing them.

Bring Your Own Model Control

You maintain complete control by using your own API keys with providers like OpenAI, Anthropic, or Google. This ensures direct cost control, data routing under your supervision, and no vendor lock-in.

How It's Different From Traditional AI

Traditional AI Systems:

  • Absorb your data into their training
  • May expose sensitive information
  • Your data becomes part of the AI's knowledge

Storm's Approach:

  • Only references your data temporarily
  • Keeps sensitive information private
  • Your data remains exclusively yours

Context Creation Pipeline

From upload to intelligent action in 5 steps

1

Upload or Automated Ingestion

User upload or automated ingestion from Google Drive, URL scrape, and other sources

2

Text Extraction & Structuring

Text is extracted from various formats and structured for processing

3

Chunking, Embedding & Knowledge Graphs

Content is chunked, embedded into a vector store, and linked in a knowledge graph—enabling fast, relationship-aware insights.

4

Secure Storage

Stored in vector store with metadata and tenant tags for secure, scoped retrieval

5

QA Agent Review

QA Agent reviews freshness, duplication, formatting, and quality metrics

Smart Storage Architecture

Each chunk is stored with role/domain awareness and your own unique identifier for secure, scoped retrieval. Your content stays organized, accessible, and completely private to your workspace.More importantly, your content is never transferred or stored to train any Large-Lanugage Models.

Semantic Query + Retrieval Process

From question to contextual answer

User asks a question

e.g., "Generate an onboarding checklist for marketing hires"

Question converted to embedding

Natural language processed into vector representation

Vector similarity search

Scoped by tenant & workspace for relevant results

Top-ranked chunks retrieved

Most relevant document chunks identified and extracted

LLM generates response

Grounded in retrieved context with source attribution

Marketing Workspace

"Generate an onboarding checklist for marketing hires"

Contextual Response

Generated checklist based on your marketing team's specific processes, tools, and requirements—with source references to your uploaded documents.

Conversational Memory & Pinning

Your AI partner that learns and remembers

Persistent Memory

Each chat is saved back into the workspace's memory vector store, building a comprehensive knowledge base over time.

Pin Key Conversations

Users can pin key conversations, making them persistent anchors that inform future interactions and decisions.

Contextual History

Contextual history is automatically re-injected for follow-up queries, ensuring continuity and relevance.

Storm Learns With You

Continuously improving outputs and reducing rework through intelligent memory management

Trust, Privacy, and Multi-Tenancy

Enterprise-grade security built from the ground up

JWT-Based Authentication

Secure token-based authentication ensuring only authorized access

Row-Level Security

RLS isolates tenant data, ensuring complete data separation

Scoped Access

Every request filtered to ensure tenant and workspace-specific data only

You See Only What's Yours

The system never blends domains unless you ask it to. Complete isolation and control over your data.

Actionable Output Generation

From single query to multiple formats

What You Can Create

Create emails, checklists, or tools
Summarize reports and documents
Draft proposals or training guides
Synthesize conversations
Translate ideas into action steps

Interface Features

Quick-prompt re-tries with different LLMs
Output preview and edit before export
Contextual reference to source materials
Citation of vetted knowledge sources
Customizable output formats and styles

You're Never Flying Blind

Outputs cite your vetted knowledge with transparent source attribution and contextual references

Daily Intelligence Workflows

Automated orchestration that works behind the scenes

Background Automation

Manages document ingestion, freshness checks, and web scraping automatically.

  • Scheduled content updates
  • Automated quality checks
  • Source freshness monitoring
Memory Synchronization

Chat memory syncs with vector stores daily for optimal performance.

  • Daily vector store updates
  • Conversation indexing
  • Memory optimization
Performance Analytics

Admins can review system logs, freshness metrics, and RAG performance trends.

  • Usage dashboards
  • Quality metrics
  • Performance insights

Knowledge Doesn't Age Out—It Evolves

Continuous background processes ensure your knowledge base stays fresh, relevant, and optimized

Crawl, Walk, Run: Storm Grows With Your Ambition

From single domain to complete knowledge ecosystem

1
Crawl
Single Domain Focus

One workspace, one context—perfect for getting started.

  • Basic document upload
  • Simple query interface
  • Core RAG functionality
2
Walk
Multiple Domain Expansion

Expand to multiple workspaces with distinct contexts.

  • UI-based upload system
  • Chat memory integration
  • JWT + RLS security
3
Run
Domain Mastery

All your domains with focused context and advanced capabilities.

  • Collections & knowledge graphs
  • Advanced analytics & insights
  • Quality control with learning

From Single Domain to Complete Knowledge Ecosystem

Storm scales from a focused workspace to a comprehensive multi-domain knowledge platform

Clear Your Cognitive Load

Make smarter decisions. Stay in context.

"This system doesn't guess—it grounds. It doesn't distract—it directs. It helps you do what matters most—when it matters most."