CQ2 is a knowledge automation platform that acts as a research copilot for teams dealing with complex and information-dense material. It enables users to upload and analyze documents, websites, transcripts, or other content to extract high-level insights, summarize findings, ask questions, and share results collaboratively.
At its core, CQ2 transforms traditional research workflows. Instead of manually reading hundreds of pages or assembling fragmented notes, teams can engage with a conversational interface that understands their intent and returns concise, accurate answers. It also supports project-based organization, so teams can manage content and outputs across initiatives, departments, or clients.
The platform is built to support strategic workflows across competitive intelligence, market research, due diligence, business analysis, and more.
Features
CQ2 provides a powerful set of AI-enabled tools for enterprise knowledge work:
AI Research Assistant: Ask natural language questions and receive accurate, contextual answers from your uploaded sources.
Content Ingestion: Upload PDFs, DOCX, HTML pages, or paste raw text. CQ2 can analyze documents, transcripts, notes, and other formats.
Multi-Source Analysis: Combine multiple documents in one workspace to compare insights or conduct multi-document synthesis.
Automatic Summarization: Get concise summaries of long documents, including executive summaries or point-by-point breakdowns.
Source Attribution: Every insight or answer is linked back to its original source for transparency and traceability.
Collaborative Workspaces: Organize research by project and collaborate with team members inside a shared workspace.
Topic Extraction: CQ2 identifies key themes, topics, and entities across your research material.
Research Threads: Keep track of your questions, insights, and references in a structured thread format.
Bookmarks and Highlights: Pin important content for quick access later or highlight key excerpts for team review.
Export Capabilities: Download insights or summaries for use in presentations, reports, or client deliverables.
Private and Secure: All workspaces and uploaded files are secure and private. Data is encrypted and isolated by account.
Built for Enterprise Teams: CQ2 is optimized for team use, enabling shared knowledge across users while maintaining source control and data governance.
How It Works
CQ2 simplifies research workflows using natural language interaction and AI summarization. Here’s how the platform works:
Step 1 – Create a Project: Users begin by creating a new workspace or project, where they can upload all relevant research materials.
Step 2 – Upload Content: Add documents, notes, or URLs. CQ2 supports drag-and-drop file uploads or copy-paste text for fast ingestion.
Step 3 – Ask Questions: Use the AI chat interface to ask specific questions like “What are the key points in this strategy deck?” or “Summarize this competitor’s go-to-market plan.”
Step 4 – Get Contextual Answers: The AI provides detailed answers with source references. Users can follow up with more questions or explore different angles.
Step 5 – Organize Insights: Tag, bookmark, or group insights to keep your project structured and ready for reporting.
Step 6 – Collaborate and Export: Share your workspace with teammates, compile findings, and export the results into presentations or documents.
The entire experience is designed to mirror how real research and strategy teams work—collaboratively, iteratively, and insight-driven.
Use Cases
CQ2 supports a variety of research and strategic use cases across industries. Common examples include:
Competitive Intelligence: Analyze competitor reports, web content, and earnings calls to extract market trends and strategic insights.
Market Research: Aggregate and summarize research reports, consumer insights, and industry publications.
Consulting Projects: Speed up discovery and document review in client projects by automating analysis and highlighting key insights.
Due Diligence: Review investment memos, contracts, and financial reports faster during M&A evaluations or partner assessments.
Corporate Strategy: Synthesize internal data, analyst reports, and market studies to inform strategic planning.
Product Research: Understand customer feedback, analyst reviews, and technical documentation during product development.
Policy and Legal Review: Analyze regulatory documents, case studies, or legislation with full source tracking and summarization.
Executive Briefings: Rapidly generate concise briefings for leadership based on hundreds of pages of material.
Internal Knowledge Management: Transform scattered knowledge assets into structured insights for onboarding, training, or decision-making.
Pricing
CQ2 currently operates on a request-access basis and does not publicly list standard pricing on its website. The platform is primarily targeting enterprise and team-based deployments.
Typical pricing considerations likely include:
Number of users or seats
Document volume and storage limits
Project or workspace caps
Custom features or integrations
Enterprise support and onboarding
Interested teams are encouraged to request a demo or early access directly from the team at https://cq2.co. Pricing is likely customized based on organizational size and usage needs.
Strengths
Enterprise-Focused: Built specifically for teams, not just individual users, with strong collaboration and project organization features.
Natural Language Interface: Allows researchers to ask questions conversationally, reducing reliance on manual reading and note-taking.
Multi-Source Analysis: Enables complex research across multiple documents simultaneously.
Source Traceability: Every insight is backed by a link to the original content, which enhances transparency and trust.
Secure by Design: Privacy and data governance are prioritized for sensitive internal or client-facing research.
Highly Visual Interface: Clean, structured UX supports ease of use, even with complex research tasks.
Project-Based Organization: Ideal for consultants, analysts, and strategy teams managing multiple initiatives.
Drawbacks
No Public Pricing: Lack of transparent pricing may limit adoption by smaller firms or independent professionals.
Requires Structured Input: Best suited for document-based research—less useful for numerical or unstructured datasets.
Early Stage Product: As a relatively new platform, advanced features or integrations may still be evolving.
Not a Data Analysis Tool: CQ2 focuses on qualitative research rather than quantitative data or spreadsheet analytics.
Limited Integrations: API and integration capabilities are not highlighted, which could be a constraint for teams seeking system connectivity.
Comparison with Other Tools
CQ2 operates in a unique niche within the research and knowledge automation space. Here’s how it compares to other tools:
Glean: Primarily focused on enterprise search across internal systems. CQ2 is better for project-based research and structured analysis.
Notion AI: Useful for note-taking and AI-enhanced writing, but lacks the robust document analysis and source attribution CQ2 offers.
ChatGPT + Manual Uploads: Offers general-purpose document Q&A, but lacks project organization, source tracking, and team collaboration features.
KnomAI: Offers document analysis and AI research capabilities. CQ2 stands out with its dedicated team workflows and research-focused UX.
Pinecone or Vector DB Solutions: Provide embeddings and retrieval infrastructure but require engineering effort. CQ2 is no-code and ready to use.
Overall, CQ2 differentiates itself by being built specifically for strategic research workflows at the team level, not just individual AI interaction.
Customer Reviews and Testimonials
As of now, CQ2 is in early access and formal customer reviews are not yet published on major platforms. However, early users and beta testers have reported:
“A game-changer for research-heavy consulting work.”
“Saved our team hours during competitive benchmarking.”
“We now generate executive summaries in minutes instead of days.”
The platform has received interest from research analysts, consultants, and strategy professionals looking for ways to cut through content clutter and focus on high-value insights.
Conclusion
CQ2 is a powerful AI research copilot designed for enterprise teams that work with large volumes of unstructured information. With features that support collaborative workspaces, AI-driven summarization, source attribution, and structured insight capture, CQ2 offers a modern solution for knowledge workers across industries.
Whether you’re conducting market research, managing consulting projects, or analyzing competitive landscapes, CQ2 helps your team accelerate research, reduce manual effort, and improve the quality of insights delivered.
