What is slate.greyb.com?

Slate provides an AI-powered research database platform that centralizes diverse research materials, including papers, patents, and product information, into a single, structured interface. It aims to unify fragmented R&D work by connecting various research areas and eliminating knowledge silos. The system is designed to enhance productivity by making critical information easily accessible and analyzable when needed, supporting various research and intellectual property management tasks.

The platform leverages artificial intelligence to streamline research processes such as literature reviews, competitor monitoring, and technology trend identification. It features an AI research assistant capable of processing complex queries and synthesizing data from extensive global sources. Slate facilitates the discovery of novel ingredients, materials, and state-of-the-art advancements, delivering updates directly to users. Additionally, it supports IP portfolio management, licensing opportunity identification, and collaborative features for teams working on research projects.

Features

Custom Structured Database: Centralize and organize research resources and IP into a customized, AI-powered database.
Competitor Monitoring: Track competitors’ innovations, patents, market strategies, and R&D activities with real-time updates.
Technology Watch: Monitor emerging technologies and industry shifts to inform R&D strategies.
AI Research Assistant: Answer complex queries, find critical information, and synthesize data from millions of research papers and global patents.
Ingredients Discovery: Identify novel, sustainable, and cross-industry ingredients and materials.
SOTA Discovery and Updates: Access state-of-the-art discoveries and receive continuous updates.
Portfolio Management: Organize, evaluate, and optimize IP portfolios (patents, trademarks).
Licensing Identification: Identify and evaluate high-potential licensing opportunities.
Automated Literature Review: Use AI to automate systematic reviews by extracting, synthesizing, and summarizing findings.
Centralized Knowledge Hub: Access research papers, patents, and scientific literature in a single structured database.
Customizable Alerts: Receive notifications on latest research, trends, patent updates, or competitor breakthroughs.
Global Database Access: Access millions of research papers, patents, and product information documents globally.
Team Collaboration: Share insights and findings on a unified platform with shared access.
Evidence Mapping: Track competitor progress and patents for market intelligence.
Multilingual AI Assistant: Ask R&D questions and receive answers in local languages.
PDF Upload & Analysis: Enhance research by uploading documents for AI contextualization.
Build Your Own Database: Create custom taxonomies and structure research documents.

Use Cases

Centralizing R&D and IP data into a structured database.
Monitoring competitor activities and market strategies.
Identifying emerging technology trends and shifts.
Accelerating research discovery with an AI assistant.
Discovering novel ingredients and materials for product development.
Staying updated on state-of-the-art advancements in a specific domain.
Managing and optimizing intellectual property portfolios.
Finding and evaluating IP licensing opportunities.
Automating systematic literature reviews.
Improving cross-functional team collaboration on research projects.
Tracking global research advancements and patent filings.
Conducting technology foresight and evidence mapping.

FAQs

What data sources does Slate use?

Slate sources patent data covering over 160 million documents from 100+ countries via third-party providers. Scholarly research comes from public resources like OpenAlex (260 million+ articles), including publishers like Elsevier, PubMed, IEEE, ACS, RSC, Nature, and Springer. It includes open-source articles and abstracts for paid articles.
How frequently is the data in Slate updated?

Slate's database is updated monthly to ensure it reflects the most current research, patents, and trends.
How is data secured within Slate?

Slate adheres to SOC2 compliance and GDPR regulations. Data is encrypted using AES-256 at rest and TLS 1.2+ in transit. Robust backup and recovery protocols are in place.
Does the AI train on user queries or data?

No, Slate AI is trained on proprietary GreyB data and does not use customer data for training unless explicitly requested by the client.
Can Slate be customized for specific research needs?

Yes, Slate allows for custom taxonomies and categorization. Users can define custom fields or tags and integrate internal research data for comprehensive analysis.
Can I search the database in languages other than English?

Yes, the database supports multi-lingual searching using context-aware search capabilities.