Our unique solutions

Smart Classification and AutoMetadata Generation

Automatically capture documents from various sources. (emails, scanners, local, on-prem and cloud storage)
Utilize NLP to analyze documents, automatically classify documents, and extract key information like content type, entities, and date.
Automatic document classification: Files are categorized based on content, sender/recipient, and project/department, eliminating manual tagging.
Suggest relevant tags and taxonomies for improved organization and searchability.
Smart tagging and Contextual metadata generation: AI automatically populates relevant metadata fields based on the extracted information, saving time and ensuring accuracy.
Predictive filing: AI learns user filing patterns and suggests relevant folders or categories for new documents, streamlining document organization.

Semantic Search: Go beyond keyword searches to find documents based on meaning and context.
Use NLP to identify relationships between documents, enabling semantic search and topic exploration.
Predictive Insights: AI analyzes usage patterns and suggests relevant documents and records even before you search for them.
Content summarization: AI generates concise summaries of documents, allowing for a quick understanding of key points in Smart Classification and AutoMetadata Generation.
Automated anomaly detection: Identify unusual document activity, potential compliance issues, or security threats.

Define rules and triggers to automate tasks like routing documents for approval initiating retention schedules and managing version control
Utilize AI to analyze document content and automatically trigger relevant workflows, reducing manual effort.

Utilize AI to analyze document trends and identify patterns to predict future needs and optimize workflows.
Generate reports and dashboards that provide actionable insights for improved decision-making.

AI-driven retention schedules: Analyze document types, usage, and regulations to recommend optimal retention periods.
Automated lifecycle management: Documents automatically move through different.
stages(active, inactive, archive) based on retention policies.
Secure and compliant disposal: AI helps identify documents for secure disposal based on legal and regulatory requirements.

Context-aware interface: The system recommends relevant actions and tools based on the user’s current task and documents the context.
Virtual Assistant for document management: use voice commands or chat to interact with the system and perform common tasks.
Seamless collaboration AI facilitates information sharing and co-editing across teams and departments
Customizable dashboards and reports: Users can personalize their experience with relevant information and insights.

Integration with existing systems: Seamless integration with existing enterprise applications and cloud platforms.
Advanced security and compliance features: Secure data storage, access controls, and audit trail to meet industry regulations.
Scalability and Flexibility: Adapts to the needs of organizations of all sizes and across various industries
Continuous learning and improvement: AI models continuously learn from user interactions and document data to improve accuracy and performance.