Roadmap
Explore our development journey: what has already been achieved and what’s coming next. We openly share our progress and plans so you can see how RAI continues to evolve and improve.
#01 Intelligent Data Collection
RAI automatically collects, cleans, and structures data from web sources and text content, transforming unstructured information into data ready for analysis.
Implemented: basic HTML and text parsing
In Progress: support for PDF and additional formats
Planned: machine learning–based parsing and real-time data stream processing
#02 AI Data Analysis
AI analyzes collected data to identify key facts, trends, and anomalies, generating clear insights to support decision-making.
Implemented: NLP-based analysis and summarization
In Progress: improving model accuracy
Planned: advanced predictive analytics and recommendation systems
#03 AI Multilingual Analysis
The platform analyzes and interprets data from sources in any language without losing context or meaning.
Implemented: basic multilingual processing
In Progress: improved contextual understanding
Planned: full cross-language analytics and data matching
#04 Internet Time-Machine
RAI enables analysis of information from past periods - as if you were browsing the internet from years ago.
Implemented: historical data search
In Progress: expanding source coverage and search depth
Planned: comparative analysis of past and present data
#05 Process Automation
RAI operates as a digital assistant, automatically collecting data, triggering analysis, and delivering results without manual involvement.
Implemented: automated data collection and notifications
In Progress: custom automation workflows
Planned: AI-driven automation and RPA elements
#06 Speed and Scalability
The platform processes queries in seconds even with large data volumes.
Implemented: cloud processing and caching
In progress: optimization for high loads
Planned: scaling for thousands of users
