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What is WeTransform?

WeTransform addresses a structural challenge faced by every B2B SaaS: the impossibility of forcing customers and partners to provide data in a single predefined format. CSVs arrive with inconsistent headers, Excels carry merged cells, PDFs hide tables, legacy ERP exports produce custom XML schemas, and each new client multiplies the variations. This is what we call format multiplication. It silently consumes engineering bandwidth, blocks deals during onboarding when prospects cannot align their data quickly enough, and forces support teams to spend mornings reshaping files. Rather than build another internal parser, B2B SaaS teams embed WeTransform inside their product. Integration takes roughly four lines of JavaScript through the @wetransform/core npm package, with React, Vue, and vanilla JavaScript bindings. An iframe embed with custom domain delivers a white-label experience under the host brand. End customers upload through the embedded interface. The AI engine performs automatic column matching (AI Mapping), normalizes unstructured documents like PDFs and merged-cell spreadsheets (Autoclean), and fills missing fields by reading row context (Fill the Gaps). Operators describe transformation rules in plain language. Customer engineers can plug in external API calls for validation or enrichment (Power Functions: SIRET checks, address verification, customer ID lookups). Data lands clean in the SaaS backend via REST API or webhook. Ingestion is multi-channel: API, webhooks, FTP, SFTP, URL polling, email. Production deployments include Cargoo, Sellermania, Autocab, ING, 23 Prod, Veloris, Senef, Armée du Salut. Onboarding cycles drop from weeks to minutes, engineering recovers about 15 percent of time previously dedicated to parser maintenance, support stops reshaping files. Rated 4.9 out of 5 on G2.

What is Algoreus?

Your data needs are comprehensively addressed by a singular, powerful platform designed to handle various aspects including data ingestion, integration, transformation, storage, knowledge cataloging, graph networks, analytics, governance, monitoring, and sharing. This versatile platform acts as a central hub for AI and machine learning, enabling businesses to efficiently train, test, troubleshoot, deploy, and manage models at scale, thus boosting productivity and ensuring consistent model performance in real-world applications. By prioritizing ease in the model training process, it provides AutoML capabilities for straightforward training, while also allowing the development of bespoke models through CustomML tailored to specific requirements. This feature facilitates the smooth incorporation of vital machine learning logic with your existing data, enabling a thorough investigation of possible strategies. Additionally, the platform is designed to be compatible with your current protocols and authorization frameworks, ensuring seamless integration. Its default propagation feature, paired with extensive configurability, guarantees that your specific needs are addressed effectively. Moreover, the system incorporates an internal lineage mechanism for efficient alerting and impact analysis, and it is closely connected to security protocols that ensure reliable tracking throughout the entire process. In conclusion, this integrated approach not only enhances data management operations but also promotes a culture of data-driven decision-making within organizations, ultimately leading to better outcomes and strategic advantages.

Media

Media

Integrations Supported

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
Java
Microsoft Azure
Python
R
SAP Store

API Availability

Has API

API Availability

Pricing Information

€459/month
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Squadra Software

Date Founded

2023

Company Location

Brussels, Belgium

Company Website

www.wetransform.com

Company Facts

Organization Name

Turium AI

Date Founded

2023

Company Location

United States

Company Website

www.turium.ai/algoreus

Categories and Features

Data Integration

Not specified

Categories and Features

AI Data Analytics

Not specified

Data Integration

Not specified

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