Deskrex Launches AI Research Agent 'Snorbe'
Deskrex has launched 'Snorbe,' an AI research agent that utilizes knowledge graphs to detect unexplored areas in patent and academic research.
📋 Article Processing Timeline
- 📰 Published: May 26, 2026 at 19:10
- 🔍 Collected: May 26, 2026 at 10:31
- 🤖 AI Analyzed: May 26, 2026 at 23:59 (13h 27m after Collected)
Deskrex announced that it will begin general availability of the closed alpha version of its AI research agent, 'Snorbe,' starting May 26, 2026.
■ Overview of New Features
Snorbe is an agentic AI developed under the concept that 'research becomes emergence.' It accumulates survey results from papers, patents, news, and internal documents into a knowledge graph and automatically detects unexplored 'whitespace' areas using unique search algorithms. As interactions deepen, the agent memorizes context, connecting past research with new information to spark new ideas.
■ Background of Development
Research tasks in R&D, sales planning, and new business development share common challenges: massive information volume, uneven results due to individual skills, and siloed organizational knowledge. Conventional 'Q&A-style' AI tools have failed to address these issues. Deskrex developed Snorbe to structure the research process itself, enabling the accumulation and utilization of research as organizational intellectual assets.
■ Key Features
1. Whitespace detection via knowledge graphs: Accumulates results into a graph to identify unexplored technical areas or overlooked research themes.
2. Agent memory: Memorizes and accumulates context across sessions, making research available as organizational knowledge.
3. Business-specific skills: Utilizing Markdown-based procedural guides ensures that high-quality, reproducible analysis can be achieved by any user.
■ Overview of New Features
Snorbe is an agentic AI developed under the concept that 'research becomes emergence.' It accumulates survey results from papers, patents, news, and internal documents into a knowledge graph and automatically detects unexplored 'whitespace' areas using unique search algorithms. As interactions deepen, the agent memorizes context, connecting past research with new information to spark new ideas.
■ Background of Development
Research tasks in R&D, sales planning, and new business development share common challenges: massive information volume, uneven results due to individual skills, and siloed organizational knowledge. Conventional 'Q&A-style' AI tools have failed to address these issues. Deskrex developed Snorbe to structure the research process itself, enabling the accumulation and utilization of research as organizational intellectual assets.
■ Key Features
1. Whitespace detection via knowledge graphs: Accumulates results into a graph to identify unexplored technical areas or overlooked research themes.
2. Agent memory: Memorizes and accumulates context across sessions, making research available as organizational knowledge.
3. Business-specific skills: Utilizing Markdown-based procedural guides ensures that high-quality, reproducible analysis can be achieved by any user.
FAQ
What is the name of the AI research agent launched by Deskrex in 2024?
The AI research agent launched by Deskrex in 2024 is called Snorbe.
Which company developed the AI research agent Snorbe in 2024?
Deskrex developed the AI research agent Snorbe in 2024.
How does the Snorbe AI agent by Deskrex identify gaps in research?
Snorbe uses knowledge graphs to detect unexplored areas in patent and academic research.
What specific technology does Snorbe by Deskrex use for research analysis?
Snorbe uses knowledge graphs to analyze patent and academic research data.
In what year did Deskrex release its Snorbe AI research agent?
Deskrex released its Snorbe AI research agent in the year 2024.