Platform Overview & Welcome

In modern business, data rarely arrives in the exact format your systems require. Clients, partners, and vendors send business-critical data in a chaotic variety of shapes:

• Messy Spreadsheets: Multi-tab Excel files, CSVs with misaligned columns, or reports with missing headers.
• Unstructured Documents: Multi-page PDFs (such as Master Service Agreements, invoices, or purchase orders) and physical scans containing embedded tables and critical metadata.

Historically, onboarding this data required manual data entry, custom-written cleaning scripts, or forcing your clients to conform to rigid, complex templates. This back-and-forth delays time-to-value and burdens your engineering teams.

Elvity automates this entire pipeline. By pairing Autonomous Data Engineering Agents with an interactive Smart Data Grid, Elvity takes care of the mapping, extraction, and validation of incoming files.

From the moment a file is uploaded, Elvity’s AI:

1. 1Discovers the Data: Analyzes the file structure, cleans up formatting, and handles document-to-row groupings.
2. 2Proposes a Plan: Writes an understandable, step-by-step mapping strategy for your approval.
3. 3Processes in Batches: Processes data in high-performance batches.
4. 4Enforces Guardrails: Runs advanced, schema-level validations (required fields, ranges, regex, custom Python logic).
5. 5Maintains Lineage: Tracks cell-level lineage, allowing you to audit any data point back to its exact coordinate or highlighted PDF source sentence.

Elvity is built for a collaborative, cross-functional onboarding experience:

• Business Operations & Customer Success: Non-technical operators can easily brand portals, upload client files, interact with the AI assistant, and resolve validation errors in real-time.
• Developers & Data Engineers: Technical teams can design robust, reusable target schemas, write customized validation scripts, and integrate the finished pipeline into their apps using native SDKs.