DataToInsight
DataToInsights provides an AI-powered platform that unifies fragmented business data into a trusted context layer for enterprise AI systems. It connects sales, inventory, ERP, POS, distributor, and spreadsheet sources to answer natural-language business questions with traceable, source-linked answers. The platform also supports agentic workflows that automate data preparation, profiling, validation, and query generation.
- Artificial Intelligence
- AI Agents
- Data & Analytics
- Enterprise Software
- Software Only
Funding
Founders
Product
Problem
Enterprises struggle with fragmented data spread across multiple systems—ERP, POS, inventory, sales, and spreadsheets—which prevents AI models from understanding business context. This fragmentation leads to inaccurate insights, untrustworthy answers, and significant manual data preparation effort before any analysis can occur.
Solution
DataToInsights builds an "intelligence layer" that connects heterogeneous data sources, business definitions, rules, and workflows so AI systems can comprehend the organization's operational context. Users can ask plain-English questions like "Why did fill rate drop last quarter?" and receive answers synthesized from connected systems, with every figure traceable to its source row. The platform includes agentic workflows that automate data preparation—such as profiling, validation, and query generation—keeping insights accurate and adaptive. By creating a governed, unified business context, DataToInsights enables AI to surface what matters and take action based on trusted, verifiable data.
Target Audience
Primary users are data engineering and analytics teams at mid-to-large enterprises that need to unify scattered business systems and provide reliable, context-aware data for AI applications and decision-making workflows.
Features
- Plain-English business question interface that retrieves answers from integrated sales, inventory, ERP, POS, distributor, and spreadsheet systems
- End-to-end data lineage that traces every reported figure back to its original source row for auditability and trust
- Agentic workflow automation for data preparation, including profiling, validation, and AI-driven query generation
- Native connectors for PostgreSQL, MySQL, and MS SQL Server databases for real-time querying and analytics
- Governance layer that maintains consistent business definitions and rules across the enterprise data stack