Nexadata is an AI‑driven data integration platform that lets users describe extraction, cleaning, and transformation tasks in plain language. Its deterministic agent unifies structured and unstructured sources—including files, cloud storage, and enterprise applications—into a single view while providing step‑by‑step, human‑in‑the‑loop control to ensure data quality and compliance.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations often struggle with fragmented structured and unstructured data spread across multiple storage systems, requiring extensive manual effort to extract, clean, and transform it for analysis. This process is time‑consuming, error‑prone, and delays decision‑making.
Solution
Nexadata provides an AI‑driven platform that lets users describe data integration and transformation requirements in plain language. The deterministic, step‑by‑step AI agent interprets the intent, automatically generates the necessary joins, mappings, and conditional logic, and applies transformations across connected sources. Data from files, cloud storage, and enterprise applications is unified into a single view, while each transformation step remains visible for user verification and approval. The human‑in‑the‑loop design ensures that automated actions can be reviewed, edited, or overridden, maintaining data quality and compliance. Resulting datasets are delivered in the format specified by the user, ready for downstream analytics or reporting.
Target Audience
Primary customers are data engineering, analytics, and business intelligence teams in mid‑size to large enterprises that need rapid, reliable integration of diverse data sources for reporting and decision support.
Features
- Natural‑language interface for defining data extraction, cleaning, and transformation tasks
- Deterministic, iterative AI agent that builds and executes dynamic transformation logic based on user intent
- Unified access to structured and unstructured sources (CSV, spreadsheets, PDFs, Amazon S3, Google Drive, SFTP, Azure Blob, REST API, and integrations with planning tools)
- Human‑in‑the‑loop workflow with step‑by‑step visibility, editability, and approval of AI‑generated transformations
- Role‑based SSO authentication (Google, Okta, Active Directory, SAML) and audit logging with configurable retention periods
- Separate development and production environments with version rollback and lifecycle management
- API access for embedding transformation capabilities into external applications