Data Cleaning like Never Before

Tempra is an AI powered pipeline for enterprise data cleaning solutions. It can be used both by human and by agents.

See the difference

Raw, messy data goes in. Clean, structured, validated data comes out.

Before — Raw input

| name          | age      | salary       | hire_date      | email              |
|---------------|----------|--------------|----------------|--------------------|
| John Smith    | thirty   | SIXTY THOUSAND| 04/15/2019    | john@company       |
| JANE DOE      |  42      | €85.000,00   | 2020-Jan-8     | jane.doe@email.com |
| bob williams  | NAN      | 72000        | ERROR          | UNKNOWN            |
|  Alice Brown  | 28       | $91,500      | April 5 2018   | alice@@brown.com   |

After — Tempra output

| name          | age | salary | hire_date  | email              |
|---------------|-----|--------|------------|--------------------|
| John Smith    | 30  | 60000  | 2019-04-15 | john@company.com   |
| Jane Doe      | 42  | 85000  | 2020-01-08 | jane.doe@email.com |
| Bob Williams  | 38  | 72000  | null       | null               |
| Alice Brown   | 28  | 91500  | 2018-04-05 | null               |

Quality Score:0.972→1.000|Grade:C→A

How it works

Ingest

Upload any document. PDF, CSV, Excel, JSON, XML, Parquet, Avro — Tempra reads them all.

Clean

AI agents detect and fix issues: bad dates, mixed formats, duplicates, outliers, sentinel values. Zero config.

Validate

Get structured output with a quality report, data profiling, and schema validation. Ready for your pipeline.

What gets fixed

Every common data quality issue, handled automatically.

Sentinel Values

Converts ERROR, UNKNOWN, N/A, NULL to proper nulls.

Format Chaos

Standardizes €2.954,50 and $2,954.50 and "SIXTY THOUSAND" to 60000.

Date Mayhem

Parses "April 5 2018", "04/05/2018", "2018-Jan-5" into ISO 8601.

Duplicate Rows

Detects and removes exact and fuzzy duplicates.

Outlier Detection

IQR-based winsorization, skips financial columns automatically.

Schema Validation

Validates output against JSON schemas with regex patterns.

Validated on real-world dirty datasets

Average quality improvement: +0.018 across 13,000 rows from 4 public datasets.

Dataset	Domain	Rows	Before	After	Improvement
HR Messy	Employee records	1,000	0.973	0.981	+0.008
Healthcare	Patient records	1,000	0.960	0.979	+0.018
Warehouse	Inventory	1,000	0.983	1.000	+0.017
Cafe Sales	Transactions	10,000	0.972	1.000	+0.028

See the test suite

Use Tempra your way

Three ways to integrate clean data into your workflow.

Dashboard

Upload, clean, and export data through an intuitive web interface. No setup required.

Coming Soon

CLI

Run Tempra from your terminal. Pipe data in, get clean output. Fits any automation script.

Coming Soon

MCP

Connect your AI agents to Tempra via the Model Context Protocol. Let agents clean data autonomously.

Coming Soon

Get early access

Tempra's hosted platform is launching soon. Join the waitlist to be first in line.