Atlantis is a research platform by DevDash Labs that uses open-source frameworks packaged and improved by our team to conduct intelligent research across the internet.
Every professional faces this scenario multiple times a week: You need information to make a decision, answer a question, or move a project forward. Sometimes you need it in the next five minutes for a client call. Other times, you're building a comprehensive strategy that requires deep understanding.
The challenge isn't finding information—it's finding the right information efficiently, without getting lost in the noise or missing critical insights.
Modern research isn't one-size-fits-all. Your information needs fall into distinct categories that require different approaches:
Immediate Answers: Current pricing, recent news, quick fact-checks, competitor updates, or verifying information before a meeting.
Comprehensive Understanding: Strategic planning, market analysis, competitive intelligence, academic research, or any situation where you need to understand all angles of a complex topic.
Atlantis addresses both needs through two specialized AI research agents, each optimized for different scenarios.
The Web Search Agent operates like a highly efficient research assistant who can process information at superhuman speed:
Instant Query Planning - When you ask a question, the system immediately generates multiple targeted search queries to capture different aspects of your topic
Parallel Information Gathering - Instead of searching one source at a time, the agent simultaneously queries 10-15 authoritative sources across the web
Real-Time Synthesis - As information flows in, the agent evaluates source credibility, extracts key insights, and identifies patterns
Structured Output - Within 30-90 seconds, you receive a clear, cited report with the essential information organized for immediate use
For Marketing Professionals:
For Business Analysts:
For Consultants:
"What are the latest updates on remote work policies from major tech companies?" → 90-second report covering policy changes from Google, Microsoft, Apple, and others with direct quotes and implementation timelines.
"Compare the pricing and features of the top 5 CRM platforms for small businesses" → Structured comparison table with current pricing, key features, and user ratings from multiple review sources.
The Deep Research Agent functions like an entire research team working in coordination:
Strategic Research Planning - The system creates a comprehensive research outline, identifying all key aspects that need investigation
Recursive Exploration - Initial research findings trigger new, more specific research paths. Each discovery leads to deeper questions, creating a tree-like exploration pattern
Multi-Layer Investigation:
Quality Assurance Process - Multiple AI agents review findings for accuracy, completeness, and coherence before compilation
Professional Reporting - Produces comprehensive reports (2,000-6,000 words) with proper citations, analysis, and actionable insights
Behind the scenes, specialized AI agents collaborate like a professional editorial team:
For Strategic Planners:
For Academic Researchers:
For Investment Professionals:
"Analyze the electric vehicle charging infrastructure market in North America" → 15-page report covering market size, key players, technology trends, regulatory landscape, investment patterns, growth projections, and regional variations with 50+ source citations.
"What are the implications of AI regulation proposals for financial services companies?" → Comprehensive analysis covering current proposals, historical regulatory patterns, industry responses, compliance requirements, competitive implications, and strategic recommendations.
| Aspect | Web Search Agent | Deep Research Agent |
|---|---|---|
| Time Investment | 1-2 minutes | 5-10 minutes |
| Information Depth | Key facts + context | Comprehensive analysis |
| Source Coverage | 10-15 sources | 50+ sources |
| Output Length | 500-1,000 words | 2,000-6,000 words |
| Best For | Quick decisions | Strategic planning |
| Update Frequency | Daily/weekly needs | Monthly/quarterly analysis |
Choose Web Search Agent when:
Choose Deep Research Agent when:
Both agents leverage advanced language models and parallel processing to handle multiple information streams simultaneously. This isn't just faster—it's more reliable because information is cross-verified across multiple sources automatically.
The system prioritizes authoritative sources and uses multiple validation techniques:
Built on cloud-native architecture that scales automatically:
Enterprise-grade security protects your research:
Morning Routine: Use Web Search Agent to stay current on industry developments relevant to your role
Project Planning: Deploy Deep Research Agent when starting new initiatives that require comprehensive understanding
Meeting Preparation: Quick Web Search queries to verify information and gather recent developments
Strategic Thinking: Regular Deep Research sessions to maintain broader industry perspective
Shared Knowledge Base: Both agents create research that can be shared across team members
Complementary Approaches: Use Web Search for operational decisions, Deep Research for strategic planning
Documentation: All research is automatically saved and searchable for future reference
The key to effective research with Atlantis isn't just knowing how the technology works—it's understanding which approach fits your specific situation.
Before starting any research session, consider:
Your answers will guide you to the right research approach, ensuring you get the information you need in the format that's most useful for your specific situation.
The goal isn't just to access information faster—it's to access the right information in the right format at the right time to make better decisions and do better work.