What is Datavise?
Datavise offers generative AI, data analytics, and RAG as a Service with LLM integration and AI agents for automation.
Services include custom AI & ML consulting, BI and data analytics consulting, cloud AI infrastructure (AWS, Azure, Google Cloud), and dedicated AI teams.
Data management and architecture, data governance, and compliance support (GDPR, HIPAA) enable secure, scalable deployments.
Data visualization and reporting with Power BI, Tableau, Snowflake and Databricks deliver real-time dashboards and business intelligence.
Use cases cover healthcare diagnostics and research, finance fraud detection and risk management, retail personalized recommendations, manufacturing predictive maintenance, and legal document automation.
Retrieval-Augmented Generation (RAG) and real-time data retrieval increase relevance and accuracy of AI-generated content and insights.
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Datavise's key features
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Custom generative AI models with LLM integration and AI agents for automation
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RAG (Retrieval-Augmented Generation) as a Service combining real-time data retrieval with language models
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Scalable cloud AI infrastructure and deployment across AWS, Google Cloud, Microsoft Azure, Snowflake, and Databricks
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Optimized data management, architecture, governance, and secure scalable data pipelines
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BI & data analytics consulting with interactive dashboards and reporting (Tableau, Power BI)
Datavise use cases
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Create real-time BI dashboards and decisioning apps by integrating Datavise's LLMs and RAG pipelines with your cloud data architecture, enabling AI agents to generate context-aware insights, drill-down visualizations and automated alerts while enforcing secure data governance and compliance
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Implement predictive maintenance workflows for industrial equipment by combining sensor data ingestion, Datavise's automated AI agents and predictive models, and BI visualization to predict failures, schedule maintenance automatically, reduce downtime and maintain audit-ready model governance
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Deploy fraud detection and investigation workflows using retrieval-augmented generation and LLM integration services to surface suspicious patterns, automate case triage with AI agents, generate explainable investigator reports and audit trails, and enforce compliance across cloud AI infrastructure
Who is it for?
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Data architects
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Ai engineers
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Mlops specialists
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Business analysts
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Cloud infrastructure engineers
