Datanto lets teams describe their workflows in plain language and automatically generates role‑based applications, reports, and data pipelines without requiring SQL, ETL, or a data team. Users upload files, answer guided business questions, and the platform builds a semantic model and connected analytics that can be refined through a human‑in‑the‑loop process.
Funding
Funding not disclosed
Founders
Product
Problem
Many organizations rely on relational databases but require technical expertise—SQL, ETL, schema design, and dedicated data teams—to build and maintain the underlying data models, pipelines, and role‑based applications. This creates a gap between business users who understand operational processes and the systems that need to be built, leading to slow implementation and brittle, hard‑to‑maintain solutions.
Solution
Datanto offers a no‑code SaaS platform that lets teams describe their workflows in plain language. The AI analyzes uploaded files, extracts patterns, and proposes semantic data models, pipelines, applications, and dashboards without any manual coding or schema work. Users review and refine AI‑generated proposals through a human‑in‑the‑loop interface, ensuring the resulting infrastructure aligns with business intent and can evolve over time. The platform automatically handles data ingestion, validation, and transformation, delivering consistent, role‑based apps and reports that are immediately usable by all stakeholders.
Target Audience
Primary customers are non‑technical business teams—such as operations, finance, and sales—that need fast, self‑service data solutions, as well as organizations seeking to reduce reliance on data engineers for routine reporting and analytics.
Features
- Conversational elicitation that captures business processes from plain‑language descriptions and uploaded files
- Automatic generation of semantic models, ETL pipelines, and role‑based applications and dashboards
- Human‑in‑the‑loop review workflow for refining AI proposals before deployment
- Built‑in access control that scopes all artifacts by user role, eliminating manual permission management
- Consistent, evolvable infrastructure that adapts to changing business needs without re‑engineering
- No requirement for SQL, ETL tools, or a dedicated data engineering team